{ "count" : 45639, "data" : [ { "id" : "6a2c8d5d74d8ee00a0978bc6", "title" : "Lead / Principal Data Scientist", "company" : "UptimeAI", "industry" : "Engineering", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Lead Data Scientist in Bangalore, India, adjusted for the manufacturing industry and company size." }, "location" : "Bangalore (India)", "locations" : [ "Bangalore (India)" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T03:31:32.901", "fingerprint" : "148b77fc252f79245fd3d809f8a7f1e56cc137a3949e91529d33273144ee9809", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/uptimeai/c8738ec7-92a0-44bf-8fc3-9e83cc7e2f99/application", "externalId" : "c8738ec7-92a0-44bf-8fc3-9e83cc7e2f99", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, TensorFlow, PyTorch, Scikit-learn, SQL, AWS, Azure, GCP, AI, ML, Deep Learning, SCADA, DCS, IoT", "professionalSkills" : [ "Computational modeling", "First-principles modeling", "Signal processing", "Feature engineering", "Model interpretability", "Model scalability", "Model accuracy", "Problem-solving", "Decision-making" ], "hardSkillsList" : [ "Predictive maintenance", "Process optimization", "Industrial performance intelligence", "Time-series analysis", "Sensor data analysis", "Telemetry data analysis", "Transient state detection", "Steady-state identification", "Inference pipelines", "Hybrid modeling", "Mass balances", "Energy balances", "Kinetics" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Predictive maintenance", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Industrial performance intelligence", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "Sensor data analysis", "level" : "intermediate" }, { "name" : "Telemetry data analysis", "level" : "intermediate" }, { "name" : "Transient state detection", "level" : "intermediate" }, { "name" : "Steady-state identification", "level" : "intermediate" }, { "name" : "Inference pipelines", "level" : "intermediate" }, { "name" : "Hybrid modeling", "level" : "intermediate" }, { "name" : "Mass balances", "level" : "intermediate" }, { "name" : "Energy balances", "level" : "intermediate" }, { "name" : "Kinetics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI, ML, Data Science, Industrial AI", "majorSkillsList" : [ "AI", "ML", "Data Science", "Industrial AI" ], "coreResponsibilities" : "Build production-grade AI systems, Deploy production-grade AI systems, Design agentic workflows, Reason in dynamic environments, Adapt in dynamic environments, Take actions in dynamic environments, Derive meaningful insights from industrial data, Collaborate with domain experts, Create context-aware AI solutions, Solve ambiguous problems, Develop advanced AI/ML models, Deploy advanced AI/ML models, Handle complex sensor data, Handle high-dimensional data, Handle time-series sensor data, Drive model interpretability, Drive model scalability, Drive model accuracy, Ensure robust performance, Integrate First-Principles Models with ML, Ensure physical consistency, Engineer features on telemetry data, Detect transient states, Identify steady states, Deploy inference pipelines, Respect edge-computing constraints, Validate models with industry experts, Derive insights with customers, Deliver measurable business outcomes, Incorporate innovative techniques, Contribute to thought leadership, Publish whitepapers, Obtain patents, Present at industry conferences, Mentor data scientists, Provide technical leadership", "teamCollaboration" : "Product teams; 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Professional growth", "innovationCreativity" : "Innovative thinking; Creative thinking", "problemSolvingSkills" : "First-principles problem solving; Problem-solving; Decision-making", "outcomesObjectives" : "Improve operational efficiency; Improve reliability; Deliver actionable insights; Ensure maximum efficiency; Ensure reliability", "qualificationsBasic" : "5+ years of hands-on experience developing and deploying ML models, Hands-on experience with Python, Hands-on experience with TensorFlow/PyTorch, Hands-on experience with Scikit-learn, Hands-on experience with SQL, Hands-on experience with cloud ML platforms, Bachelor’s or higher in Chemical Engineering, Mechanical Engineering, Aerospace, or Applied Physics, Significant experience in heavy industry (for CS degrees), Background in handling time-series and sensor data", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Recently receiving a funding round led by WestBridge Capital, UptimeAI is prime for global expansion Role : Lead / Principal Data Scientist Location: Bangalore- Karnataka (Hybrid) Experience: 5+ years Department: Data Science ROLE OVERVIEW We are looking for individuals who sit at the intersection of Data Science and Physical Sciences. You understand that industrial data isn't just rows in a database—it represents thermodynamics, fluid dynamics, and mechanical stress. The candidate should be capable of translating business problems into scalable AI solutions, leveraging creative thinking and first-principles problem solving. This role requires someone who can: · Build and deploy production-grade AI systems, not just prototypes · Design agentic workflows that can reason, adapt, and take actions in dynamic environments · Work with noisy, incomplete, and real-time industrial data to derive meaningful insights · Collaborate closely with domain experts (e.g., operations, reliability, or plant engineers) to create context-aware AI solutions · Demonstrate innovative thinking in solving ambiguous problems where standard approaches may not apply KEY RESPONSIBILITIES · Be a part of the design, development, and deployment of advanced AI/ML models for predictive maintenance, process optimization, and industrial performance intelligence · Collaborate closely with Product, Engineering, and Customer Success teams to translate business problems from industrial domains into data science solutions. · Guide the team in handling complex, high-dimensional, and time-series sensor data from IoT, SCADA, and DCS systems. · Drive model interpretability, scalability, and accuracy, ensuring robust performance in real-world production environments. · Hybrid Modeling: Integrate First-Principles Models (mass/energy balances, kinetics) with data-driven ML to ensure physical consistency in model outputs. · Signal Processing: Lead the strategy for feature engineering on high-frequency telemetry data from SCADA/DCS, focusing on transient state detection and steady-state identification. · Operationalization: Move beyond \"notebook AI\" to deploy robust, low-latency inference pipelines that respect the edge-computing constraints of industrial environments. · Partner with industry experts and customers to validate models, derive insights, and deliver measurable business outcomes. · Stay ahead of emerging trends in AI/ML, deep learning, and industrial AI to incorporate innovative techniques into UptimeAi’s product roadmap. · Contribute to thought leadership by publishing whitepapers, patents, or presenting at industry conferences · Mentor and provide technical leadership to data scientists, ensuring continuous upskilling and adoption of best practices QUALIFICATIONS · Bachelor’s or higher in Chemical Engineering, Mechanical Engineering, Aerospace, or Applied Physics with a heavy emphasis on computational modeling. (Candidates with CS degrees are welcome if they have significant experience in heavy industry). · 5+ years of hands-on experience developing and deploying ML models specifically within Manufacturing, Energy, Oil & Gas, or Power sectors. · Strong background in handling time-series and sensor data from industrial or IoT systems. · Hands-on experience with Python, TensorFlow/PyTorch, Scikit-learn, SQL, and cloud ML platforms (AWS, Azure, GCP). · Excellent problem-solving and communication skills with the ability to influence senior stakeholders. · Demonstrated ability to lead and mentor teams while being a hands-on contributor · Ability to work independently, with strong problem-solving and decision-making abilities Why to join UptimeAI: · Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. · Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. · Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions.", "summaryDescription" : "Lead / Principal Data Scientist at UptimeAI. 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D. in Immunology, 5+ years experience, Exceptional communicator, Collaborative, Innovative, Understanding of biomarker strategy", "qualificationsPreferred" : "Post-doctoral experience, Experience authoring industry documents", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a Precision Medicine Strategy Lead (PMSL) at the Principal Scientist level responsible for the clinical biomarker strategy for multiple clinical stage assets in Regeneron's Immunology & Inflammation (I&I), Ophthalmology and Infectious Diseases portfolios. The successful candidate will be motivated and innovative in their proposals for clinical biomarker strategies that drive the success of both early and late-stage clinical programs. They will be knowledgeable regarding key literature and relevant technologies. They will thrive in a collaborative environment and regularly partner with research teams, clinical development, laboratory operations, companion diagnostics, clinical operations, tech centers, alliance partners, external academic collaborators, and others. They will be exceptional communicators as they routinely present their strategy, rationale and data to senior leaders. This is a high-impact, highly visible role at the intersection of science and strategy in Regeneron’s Translational Medicine organization. The work done as a Principal Scientist will enable endpoint selection, choice of clinical indication, and demonstration of target engagement, early signs of activity, mechanism of action and patient stratification/selection. **As a Lead, a typical day may include:** * Define and champion the strategic vision and scientific rationale for clinical biomarker plans supporting one or more programs in I&I, Ophthalmology, and/or Infectious Disease * Serve as a Precision Medicine representative on clinical development teams, driving biomarker strategy from initial concept through execution, data delivery, and interpretation. * Partner with clinical and laboratory operations to implement biomarker and exploratory sample collection and analyses * Ensure clinical biomarker assays are fit-for-purpose — whether developed internally or through external collaborators/CROs * Present translational project plans, biomarker data, and results to internal and external stakeholders, including senior leadership * Contribute to the highest-quality Precision Medicine content in clinical protocols, study reports, data reviews, biomarker reports and manuscripts/publications **This role might be for you if can:** * Translate complex immunology and disease biology into clear, testable clinical biomarker hypotheses and decision criteria. * Lead cross-functional teams to design, operationalize, and troubleshoot end-to-end biomarker plans across global studies. * Drive fit-for-purpose assay development and validation with internal labs and CROs, balancing scientific rigor, cost, and timelines. * Synthesize and communicate biomarker insights into compelling narratives for diverse stakeholders, including senior leadership, to inform key decisions. * Navigate ambiguity, prioritize across multiple programs, and foster a collaborative, innovative culture in a matrixed environment. **To be considered for this role, you must have:** * Ph.D. with post-doctoral experience in Immunology or closely related field is highly desirable * 5+ years of relevant experience in pharmaceutical/biotech industry research and/or translational clinical development * Exceptional communicator with strong emotional intelligence and enthusiasm for presenting to senior leaders * Collaborative, innovative, and energized by working in a matrixed environment * Understanding of biomarker strategy in clinical development, including assay development, validation, and implementation with a track record of high-impact contributions to drug development programs is a huge plus * Experience authoring industry documents (protocols, CSRs, biomarker reports) is a plus * Alternative levels will be considered commensurate with experience Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other countries’ specific benefits, please speak to your recruiter. Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron’s roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron’s on-site policy and expectations for your role and your location. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. ****Salary Range (annually)**** $128,600.00 - $210,000.00", "summaryDescription" : "Principal Scientist, Precision Medicine Strategy Lead (Clinical Biomarkers) at Regeneron. Skills: Biomarker strategy, Clinical development, Translational medicine. Define strategic vision. 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Sales teams; Design teams; Marketing teams; Internal teams; Diverse stakeholders", "projectManagementSkills" : [ "Project scope definition", "Project timeline definition", "Project program definition" ], "domainKnowledge" : "Workplace trends; Future trends", "domainList" : [ "workplace-trends", "future-trends" ], "domainSpecificKnowledge" : [ "Workplace trends", "Future trends" ], "communicationSkills" : "Client presentations; Stakeholder engagement; Storytelling", "documentationSkills" : "Thought leadership materials", "innovationCreativity" : "New ideas", "problemSolvingSkills" : "Solve complex challenges", "specialRequirements" : "Travel to client-sites, Be in Paris Studio", "outcomesObjectives" : "Deliver meaningful outcomes", "qualificationsBasic" : "Proven experience in workplace strategy, Client-facing and presentation skills, Background in leading stakeholder engagements, Ability to build strategic narrative, Adept at managing multiple projects, Confident in distilling complex ideas, Comfortable leading cross-functional teams, Aligning diverse stakeholders, Visionary thinker", "qualificationsPreferred" : "Experience in design, architecture, real estate, or consulting space", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Unispace, we create spaces that empower people and businesses to thrive. We are a global design-build partner delivering workplace and life sciences projects for some of the world’s most innovative brands. With over 500 people across four continents, we bring together strategy, design, project management, and delivery into one seamless experience. Our integrated approach enables us to move with agility, solve complex challenges, and deliver meaningful outcomes for our clients. Our people are at the centre of everything we do. We foster a collaborative, inclusive culture that values curiosity, accountability, creativity, and continuous improvement. We believe diverse perspectives strengthen our teams and help us create better experiences for our clients and each other. At Unispace, you’ll have the opportunity to contribute to impactful projects, work alongside talented global teams, and grow your career in an environment that encourages innovation and new ideas. Role Profile: At Unispace, our approach to workplace strategy is rooted in our belief that space shapes outcomes. We are looking for a strategic and visionary Principal Workplace Strategy to join our growing team. Based in Paris, this role will be fundamental in shaping and leading the development of workplace strategy across the France, supporting a wide range of clients across various sectors. This individual will initially report to the EMEA Head of Strategy.. This is a high-impact role working across marketing, strategy, design, and client services. You’ll partner closely with sales and design teams to create transformative workplace solutions that respond to business challenges and future trends. Key Responsibilities: Lead the development and delivery of workplace strategy across our Northern Europe projects. Act as a strategic adviser to clients, helping them reimagine their workplace through data-driven insights, vision setting, and storytelling. Form and lead pitch strategies and compelling storylines tailored to client objectives. Define project scopes, timelines, and programmes, working in alignment with our global process. Collaborate with internal teams to craft project briefs, define workplace visions, and drive clarity around the ‘why’ behind each initiative. Analyse business and real estate drivers, industry shifts, and workforce behaviours to influence strategy. Lead and facilitate client presentations and stakeholder engagement sessions. Build and maintain high-level relationships with clients and partners, becoming a trusted thought leader. Create strategic plans and opportunity proposals that align with client objectives and Unispace’s unique value proposition. Develop change management strategies and lead associated communication plans. Produce thought leadership materials and go-to-market strategies to support business growth. Partner with sales and marketing teams to enhance positioning and messaging. Contribute to global workplace strategy frameworks and toolkits. What We’re Looking For: Proven experience in workplace strategy, preferably in the design, architecture, real estate, or consulting space. Strong client-facing and presentation skills, with a background in leading stakeholder engagements. Ability to build a compelling strategic narrative backed by research, analytics, and business logic. Adept at managing multiple projects and priorities in a fast-paced environment. Confident in distilling complex ideas and producing clear, engaging strategies. Comfortable leading cross-functional teams and aligning diverse stakeholders. Visionary thinker with the ability to translate workplace trends into actionable strategies. Why Unispace? Unispace is a global workplace strategy, design, and construction firm creating tailored spaces that spark brilliance. With 26 studios worldwide, we collaborate with some of the most innovative organisations to redefine what the workplace can be. This role is an exciting opportunity to influence the strategic direction of work environments across EMEA and, over time, globally. What We Offer In return, you will receive a competitive salary and a generous benefits package, including a pension, paid holiday leave, and travel opportunities across our global offices. Unispace Group values its employees and offers extensive rewards and recognition, career development, and a focus on well-being. While we do support Hybrid and Flexible working where possible, there will be a requirement to travel to client-sites as well as to be in our Paris Studio to collaborate with the team on a regular basis. Join Us If you are passionate about joining Unispace, and contributing to some of the world’s most recognisable commercial design projects, then please apply through our careers site or reach out to one of our Talent Acquisition team. The statements in this job description are intended to describe the general nature and level of work being performed by individuals assigned to this role. They are not intended to be an exhaustive list of all responsibilities, duties, or skills required. We encourage applications from individuals of all backgrounds and experiences and are committed to providing reasonable accommodations throughout the recruitment process and employment lifecycle where required by applicable law. Inclusion & Diversity At Unispace, we believe diverse perspectives strengthen our teams, our culture, and the work we deliver for our clients. We are committed to fostering an inclusive workplace where everyone is treated with respect and has the opportunity to thrive. Employment decisions are based on qualifications, merit, and business needs, in accordance with applicable local laws and regulations.", "summaryDescription" : "Principal Workplace Strategy at Unispace. Skills: Workplace strategy, Client advisory, Strategic planning. Lead workplace strategy development. Lead workplace strategy delivery", "postedDate" : "2026-06-16T01:16:37.012", "createdAt" : "2026-06-16T01:16:37.012", "lastUpdated" : "2026-06-16T09:31:05.794", "ingestTimestamp" : "2026-06-16T01:16:37.012", "mongoId" : "6a30772df292fd229c023250", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data-driven insights", "Storytelling", "Project scope definition", "Project timeline definition", "Project program definition", "Client presentation", "Stakeholder engagement", "Relationship building", "Opportunity proposal creation", "Communication plan development", "Positioning enhancement", "Messaging enhancement", "Workplace strategy", "Client advisory", "Strategic planning", "Business analysis", "Real estate analysis", "Workforce behavior analysis", "Change management strategy", "Go-to-market strategy", "Workplace trends", "Future trends" ], "skillCount" : 22, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a1a5cd658b93c861e80fa69", "title" : "Clinical Laboratory Scientist Lead - Clinical Research", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 115500.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Clinical Laboratory Scientist in Duarte, CA, adjusted for the healthcare industry and company size." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Clinical Laboratory/Pathology", "Onsite, Days, Days" ], "timestamp" : "2026-06-15T11:39:41.135", "fingerprint" : "aff187099fb7c1f1548ce5a27986c9409625e964c1c631b47a6703c20914407b", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=235665", "externalId" : "235665", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "Bachelor's Degree", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Test system analysis", "Troubleshooting", "Regulatory proficiency", "Staff development", "Technical resource" ], "hardSkillsList" : [ "Specimen processing", "Laboratory testing", "Equipment operation", "Result reporting", "Quality control", "Quality assurance", "Performance improvement", "Reagent preparation" ], "hardSkills" : [ { "name" : "Specimen processing", "level" : "intermediate" }, { "name" : "Laboratory testing", "level" : "intermediate" }, { "name" : "Equipment operation", "level" : "intermediate" }, { "name" : "Result reporting", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Performance improvement", "level" : "intermediate" }, { "name" : "Reagent preparation", "level" : "intermediate" } ], "majorSkills" : "Clinical laboratory testing, Quality assurance, Regulatory compliance", "majorSkillsList" : [ "Clinical laboratory testing", "Quality assurance", "Regulatory compliance" ], "coreResponsibilities" : "Prepare specimens, Perform clinical laboratory testing, Maintain technical proficiency, Perform quality control, Perform quality assurance, Perform performance improvement, Troubleshoot technical issues, Resolve technical issues, Prepare reagents, Prepare materials, Ensure proper documentation, Follow safety protocols, Uphold integrity standards, Uphold customer service standards, Draft laboratory policies, Revise laboratory policies, Validate laboratory policies, Ensure policy compliance, Draft SOPs, Revise SOPs, Validate SOPs, Ensure SOP compliance, Draft accreditation requirements, Revise accreditation requirements, Validate accreditation requirements, Ensure accreditation compliance, Lead validation of new instruments, Support validation of new instruments, Lead validation of new reagents, Support validation of new reagents, Analyze inspections, Participate in inspections, Analyze proficiency testing, Participate in proficiency testing, Analyze regulatory readiness, Participate in regulatory readiness, Oversee workflow, Oversee scheduling, Oversee staff competency, Oversee quality performance indicators, Identify improvement opportunities, Support departmental operations", "teamCollaboration" : "Laboratory personnel; Laboratory leadership", "domainKnowledge" : "Clinical laboratory testing; FACT; AABB; ACHI; CAP; FDA; Joint Commission; CLIA 1988", "domainList" : [ "clinical-laboratory-testing", "fact", "aabb", "achi", "cap", "fda", "joint-commission", "clia-1988" ], "domainSpecificKnowledge" : [ "Clinical laboratory testing", "FACT", "AABB", "ACHI", "CAP", "FDA", "Joint Commission", "CLIA 1988" ], "documentationSkills" : "Proper documentation", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "High-complexity clinical laboratory testing, FACT compliance, AABB compliance, ACHI compliance, CAP compliance, FDA compliance, Joint Commission compliance, CLIA 1988 compliance", "qualificationsPreferred" : "Continued growth in test system analysis, Continued growth in troubleshooting, Continued growth in regulatory proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the transformative team at City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. This role involves preparing specimens and performing waived to high‑complexity clinical laboratory testing in full compliance with SOPs and all major regulatory standards, including FACT, AABB, ACHI, CAP, FDA, and Joint Commission requirements. The position supports education by assisting in training students and staff, while also demonstrating continued growth in test system analysis, troubleshooting, and regulatory proficiency. It requires a strong understanding of section operations, contributions to staff development and future testing needs, and serving as a technical resource for laboratory personnel and leadership. All work is performed under the authorization of the Laboratory Director in accordance with CLIA 1988 (CFR 493.1445(a)). As a successful candidate, you will: Maintain strong technical proficiency in specimen processing, laboratory testing, equipment operation, and accurate result reporting. Perform and document quality control, quality assurance, and performance improvement activities, including troubleshooting and resolving complex technical issues. Prepare reagents and materials, ensure proper documentation, follow safety protocols, and uphold high standards of integrity and customer service. Draft, revise, validate, and ensure compliance of laboratory policies, procedures, SOPs, and accreditation requirements. Lead or support validation of new instruments, reagents, and tests; analyze data; and participate in inspections, proficiency testing, and regulatory readiness. Oversee workflow, scheduling, staff competency, and quality performance indicators while identifying improvement opportunities and supporting departmental operations. Your qualifications should include: Bachelor’s Degree Minimum 5 years as a certified or licensed clinical laboratory scientist Clinical Laboratory Scientist City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Clinical Laboratory Scientist Lead - Clinical Research at City of Hope. Skills: Clinical laboratory testing, Quality assurance, Regulatory compliance. Prepare specimens. Perform clinical laboratory testing", "createdAt" : "2026-06-14T06:26:43.012", "lastUpdated" : "2026-06-15T11:39:41.135", "ingestTimestamp" : "2026-06-14T06:26:43.012", "mongoId" : "6a1a5cd658b93c861e80fa69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Specimen processing", "Laboratory testing", "Equipment operation", "Result reporting", "Quality control", "Quality assurance", "Performance improvement", "Reagent preparation", "Clinical laboratory testing", "Regulatory compliance", "Test system analysis", "Troubleshooting", "Regulatory proficiency", "Staff development", "Technical resource", "FACT", "AABB", "ACHI", "CAP", "FDA", "Joint Commission", "CLIA 1988" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307651f292fd229c0184c3", "title" : "Sales Strategy Lead", "company" : "Doctolib", "industry" : "Healthcare", "salary" : { "min" : 50000.0, "max" : 70000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Milano, Milan, Italy", "locations" : [ "Milano", "Milan", "Italy" ], "timestamp" : "2026-06-16T10:51:16.202", "fingerprint" : "67f1a9c232b51fb00f834c8f2e02c2ade61263ead402aea32effa8d0d79fa892", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/doctolib/jobs/7773268003", "externalId" : "7773268003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milan", "state" : "Milan", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "45.4641943,9.1896346" } ], "locationText" : "Milan, Milan, Italy", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Excel, Google Sheets, SQL, BI tools", "professionalSkills" : [ "Sales Strategy", "Sales Operations", "FP&A", "Management Consulting", "Business Intelligence", "Commercial planning", "Budget management", "Headcount planning", "Capacity modeling", "Cost-of-sales projections", "Business case building", "Budget consumption tracking", "Incentive plan design", "Sales compensation", "Bonus plans", "Financial modeling" ], "hardSkillsList" : [ "Performance metrics analysis", "Ad-hoc analysis", "Executive reporting", "Target setting", "Quota allocation", "Revenue goal translation", "Performance monitoring", "Budget definition", "Headcount planning", "Capacity modeling", "Cost-of-sales projections", "Business case building", "Budget consumption tracking", "Incentive plan design", "Sales compensation", "Bonus plan modeling", "Bonus calculation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Performance metrics analysis", "level" : "intermediate" }, { "name" : "Ad-hoc analysis", "level" : "intermediate" }, { "name" : "Executive reporting", "level" : "intermediate" }, { "name" : "Target setting", "level" : "intermediate" }, { "name" : "Quota allocation", "level" : "intermediate" }, { "name" : "Revenue goal translation", "level" : "intermediate" }, { "name" : "Performance monitoring", "level" : "intermediate" }, { "name" : "Budget definition", "level" : "intermediate" }, { "name" : "Headcount planning", "level" : "intermediate" }, { "name" : "Capacity modeling", "level" : "intermediate" }, { "name" : "Cost-of-sales projections", "level" : "intermediate" }, { "name" : "Business case building", "level" : "intermediate" }, { "name" : "Budget consumption tracking", "level" : "intermediate" }, { "name" : "Incentive plan design", "level" : "intermediate" }, { "name" : "Sales compensation", "level" : "intermediate" }, { "name" : "Bonus plan modeling", "level" : "intermediate" }, { "name" : "Bonus calculation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Sales Strategy, Sales Planning, Budget Management, Incentive Design", "majorSkillsList" : [ "Sales Strategy", "Sales Planning", "Budget Management", "Incentive Design" ], "coreResponsibilities" : "Define sales metrics, Monitor sales metrics, Conduct ad-hoc analyses, Surface actionable insights, Implement insights, Create executive reports, Own target-setting process, Drive target-setting process, Build quota models, Maintain quota models, Allocate quotas, Translate revenue goals, Coordinate on assumptions, Monitor performance against targets, Recommend mid-cycle adjustments, Define sales budget, Manage sales budget, Plan headcount, Model capacity, Project cost-of-sales, Build business cases, Support investment decisions, Track budget consumption, Flag budget deviations, Propose corrective actions, Design bonus plans, Model bonus plans, Maintain bonus plans, Drive desired behaviors, Align individual incentives, Run incentive simulations, Assess incentive impact, Ensure bonus calculations, Coordinate bonus execution, Act as contact for compensation questions, Act as contact for compensation disputes", "teamCollaboration" : "Partner with Sales Leadership; Work cross-functionally; Coordinate with Finance; Coordinate with Sales Leadership; Coordinate with HR; Partner with Finance; Coordinate with Finance and HR", "domainKnowledge" : "Go-to-market strategy; Sales performance; Account management; Pipeline health; Win rates; Quota attainment; Forecasting accuracy; Customer segmentation; Territory white space; Sales productivity; QBRs; Leadership reviews; Strategic planning; Sales organization structure; Revenue goals; Sales targets; Market reality; Sales segments; Sales regions; Individual contributors; Sales budget; Headcount planning; Capacity modeling; Cost-of-sales; Investment decisions; Coverage model changes; Budget consumption; Sales compensation plans; Bonus plans; Company objectives; Incentive structures; B2B SaaS; High-growth tech; Healthcare; Health tech", "domainList" : [ "go-to-market-strategy", "sales-performance", "account-management", "pipeline-health", "win-rates", "quota-attainment", "forecasting-accuracy", "customer-segmentation", "territory-white-space", "sales-productivity", "qbrs", "leadership-reviews", "strategic-planning", "sales-organization-structure", "revenue-goals", "sales-targets", "market-reality", "sales-segments", "sales-regions", "individual-contributors", "sales-budget", "headcount-planning", "capacity-modeling", "cost-of-sales", "investment-decisions", "coverage-model-changes", "budget-consumption", "sales-compensation-plans", "bonus-plans", "company-objectives", "incentive-structures", "b2b-saas", "high-growth-tech", "healthcare", "health-tech" ], "domainSpecificKnowledge" : [ "Go-to-market strategy", "Sales performance", "Account management", "Pipeline health", "Win rates", "Quota attainment", "Forecasting accuracy", "Customer segmentation", "Territory white space", "Sales productivity", "QBRs", "Leadership reviews", "Strategic planning", "Sales organization structure", "Revenue goals", "Sales targets", "Market reality", "Sales segments", "Sales regions", "Individual contributors", "Sales budget", "Headcount planning", "Capacity modeling", "Cost-of-sales", "Investment decisions", "Coverage model changes", "Budget consumption", "Sales compensation plans", "Bonus plans", "Company objectives", "Incentive structures", "B2B SaaS", "High-growth tech", "Healthcare", "Health tech" ], "toolProficiency" : [ "Excel", "Google Sheets" ], "communicationSkills" : "Executive presentations; Senior stakeholder presentations", "continuousLearning" : "DoctoGrowth plan", "problemSolvingSkills" : "Strategic analysis; Actionable insights; Financial acumen; Budget management; Headcount planning; Capacity modeling; Cost-of-sales projections; Business case building; Budget consumption tracking; Incentive plan design; Sales compensation; Bonus plan modeling; Bonus calculation", "outcomesObjectives" : "Shape go-to-market strategy; Execute go-to-market strategy; Structure sales organization for performance; Structure sales organization for accountability; Structure sales organization for growth; Ensure sales organization is structured for performance; Ensure sales organization is structured for accountability; Ensure sales organization is structured for growth; Drive sales organization performance; Drive sales organization accountability; Drive sales organization growth; Achieve ambitious targets; Achieve fair targets; Ground targets in market reality; Align on assumptions; Align on methodology; Drive right behaviors; Align individual incentives with company objectives; Achieve measurable outcomes with AI", "qualificationsBasic" : "3+ years analytical role, Target setting experience, Quota modeling experience, Compensation design experience, Financial acumen, Advanced Excel/Google Sheets, Build complex models, Excellent English communication, Excellent Italian communication, Manage ambiguity, Prioritize effectively, Deliver in dynamic environment", "qualificationsPreferred" : "B2B SaaS experience, High-growth tech experience, Incentive plan design experience, Variable compensation frameworks experience, Familiar with SQL, Familiar with BI tools, Interest in healthcare, Interest in health tech", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for a Sales Strategy Lead to join the Sales Strategy team in Milan. As a Sales Strategy Lead, your mission will be to act as a trusted partner to Sales Leadership, helping shape and execute Doctolib's go-to-market strategy across markets. You will sit at the intersection of data, strategy, and commercial planning — owning critical processes such as target setting, budget definition, and incentive design. You will work cross-functionally with Marketing, Product, Finance and HR to ensure our sales organization is structured for performance, accountability, and growth. Your responsibilities include but are not limited to: Business performance & strategic analysis Define and monitor key sales and account management performance metrics (pipeline health, win rates, quota attainment, forecasting accuracy) Conduct ad-hoc analyses (customer segmentation, territory white space, sales productivity) to surface actionable insights and own their implementation Create compelling executive-level reports for QBRs, leadership reviews, and strategic planning sessions. Target setting & sales planning Own and drive the annual and quarterly target-setting process for the sales organization, ensuring targets are ambitious, fair, and grounded in market reality Build and maintain robust models to allocate quotas across segments, regions, and individual contributors Translate company-level revenue goals into granular sales targets, coordinating with Finance and Sales Leadership to align on assumptions and methodology Monitor performance against targets throughout the year and recommend mid-cycle adjustments when needed. Budget definition & headcount planning Partner with Finance to define and manage the sales budget, including headcount planning, capacity modeling, and cost-of-sales projections Build business cases to support investment decisions (new hires, new markets, coverage model changes) Track budget consumption and flag deviations proactively, proposing corrective actions where necessary. Bonus & incentive plan design Design, model, and maintain sales compensation and bonus plans that drive the right behaviors and align individual incentives with company objectives Run simulations to assess the financial and motivational impact of different incentive structures before they are rolled out Ensure bonus calculations are executed accurately and on time each period, in close coordination with Finance and HR Act as the primary point of contact for Sales Leadership on compensation-related questions and disputes. Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You could be our next team mate if you: Have 3+ years of experience in a highly analytical role such as Sales Strategy, Sales Operations, FP&A, Management Consulting, or Business Intelligence Have demonstrated experience with target setting, quota modeling, or compensation design in a commercial environment Have strong financial acumen and are comfortable working with budgets, headcount models, and P&L logic Have advanced proficiency in Excel/Google Sheets, with the ability to build complex models from scratch Have excellent communication skills in English and Italian and can present clearly to senior stakeholders Have experience building AI-powered workflows or agents, and you are able to design and roll out AI-driven initiatives with a clear focus on measurable outcomes Can manage ambiguity, prioritize effectively, and deliver in a dynamic environment. Now it would be fantastic if you: Have experience in a B2B SaaS or high-growth tech environment Have exposure to incentive plan design or variable compensation frameworks Are familiar with SQL or BI tools for data querying and reporting Have an interest in healthcare or health tech. What we offer Supplementary health insurance, with the option to include family members in your household A flexible workplace policy offering both hybrid and office-based mode Electronic meal vouchers (8.00€ per worked day), Foorban fridges, and office breakfast Reimbursement of public transportation Work from abroad for up to 10 days per year thanks to our flexibility days policy Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth Parent Care Program: various initiatives supporting parenthood, including 100% paid parental leave Free mental health and coaching services through our partner Moka.care For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support A partnership with Wellhub, as well as free access to the gym in our Milan office, with 3 classes offered per week (yoga, pilates, functional training) Partnership for retirement funds with Ciao Elsa. The interview process Screening call with the Talent Acquisition team Interview with the hiring manager Case study Final interview At least one reference check Offer! Job details Permanent position Full Time Milan Start date: September 2026 Compensation: €50.000 - €70.000 (including 8% performance-based bonus) Hybrid work setup (up to 2 remote days per week). At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e. g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.", "summaryDescription" : "Sales Strategy Lead at Doctolib. Skills: Sales Strategy, Sales Planning, Budget Management, Incentive Design. Define sales metrics. Monitor sales metrics", "postedDate" : "2026-06-16T01:16:35.320", "createdAt" : "2026-06-16T01:16:35.320", "lastUpdated" : "2026-06-16T10:51:16.202", "ingestTimestamp" : "2026-06-16T01:16:35.320", "mongoId" : "6a307651f292fd229c0184c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Performance metrics analysis", "Ad-hoc analysis", "Executive reporting", "Target setting", "Quota allocation", "Revenue goal translation", "Performance monitoring", "Budget definition", "Headcount planning", "Capacity modeling", "Cost-of-sales projections", "Business case building", "Budget consumption tracking", "Incentive plan design", "Sales compensation", "Bonus plan modeling", "Bonus calculation", "Leadership", "Sales Strategy", "Sales Planning", "Budget Management", "Incentive Design", "Sales Operations", "FP&A", "Management Consulting", "Business Intelligence", "Commercial planning", "Budget management", "Bonus plans", "Financial modeling", "Go-to-market strategy", "Sales performance", "Account management", "Pipeline health", "Win rates", "Quota attainment", "Forecasting accuracy", "Customer segmentation", "Territory white space", "Sales productivity", "QBRs", "Leadership reviews", "Strategic planning", "Sales organization structure", "Revenue goals", "Sales targets", "Market reality", "Sales segments", "Sales regions", "Individual contributors", "Sales budget", "Cost-of-sales", "Investment decisions", "Coverage model changes", "Budget consumption", "Sales compensation plans", "Company objectives", "Incentive structures", "B2B SaaS", "High-growth tech", "Healthcare", "Health tech", "Excel", "Google Sheets" ], "skillCount" : 64, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f92f292fd229cee8bf6", "title" : "Clinical Lead", "company" : "Marie Curie", "industry" : "Non-Profit Organization Management", "salary" : { "min" : 56000.0, "max" : 62000.0, "currency" : "GBP", "frequency" : "yearly" }, "location" : "Liverpool, United Kingdom", "locations" : [ "Liverpool", "United Kingdom" ], "certifications" : [ "Professional Regulation Registration" ], "timestamp" : "2026-06-16T06:17:33.962", "fingerprint" : "78a95b084bb6dfbf0a0273a2f53a12500a488f20ffe9f2296452caf53d9017a9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MarieCurie1/3743990013621466-clinical-lead", "externalId" : "3743990013621466", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Liverpool", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.3933411,-2.9166389" } ], "locationText" : "Liverpool, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceLevel" : "not-applicable", "professionalSkills" : [ "Clinical governance", "Workforce leadership", "Continuous improvement", "Person-centred care" ], "hardSkillsList" : [ "Complex care needs", "Team management", "Performance management" ], "hardSkills" : [ { "name" : "Complex care needs", "level" : "intermediate" }, { "name" : "Team management", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" } ], "majorSkills" : "End-of-life care, Clinical leadership, Team support", "majorSkillsList" : [ "End-of-life care", "Clinical leadership", "Team support" ], "coreResponsibilities" : "Provide clear oversight across established services, Drive excellence through clinical governance, Drive excellence through workforce leadership, Drive excellence through continuous improvement, Act as a trusted link between frontline services, Ensure services run effectively, Ensure services meet performance expectations, Ensure services continue to evolve, Offer expert guidance, Strengthen partnerships, Ensure care remains person-centred", "teamCollaboration" : "Multi professional setting", "domainKnowledge" : "End-of-life care; Hospice care; Community nursing", "domainList" : [ "end-of-life-care", "hospice-care", "community-nursing" ], "domainSpecificKnowledge" : [ "End-of-life care", "Hospice care", "Community nursing" ], "continuousLearning" : "Continuous Professional development; Industry leading training programmes", "specialRequirements" : "Flexibility to travel", "outcomesObjectives" : "Deliver high-quality compassionate care; Lead and support teams to perform at best", "qualificationsBasic" : "Degree in nursing or health and social care, Evidence of post registration studies, Current Professional Regulation Registration, Extensive experience caring for patients, Leadership experience in team management, Leadership experience in performance management, Leadership experience in multi professional setting, UK driving licence and access to car", "qualificationsPreferred" : "Masters level degree or equivalent experience, Management or leadership training", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Marie Curie is the UK’s leading end-of-life charity. We are the largest non-NHS provider of end-of-life care in the UK, the only provider across all 4 nations, delivering community nursing and hospice care across the country, while providing information and support on all aspects of dying, death, and bereavement. Our leading research pushes the boundaries of what we know about good end-of-life, and our campaigns fight for a world where everyone gets to have the best possible quality of life while living with an illness, they’re likely to die from. The care and support we provide is highly valued by the people we care for and their loved ones, but at present we are only reaching around 10% of dying people at the end of life. Right now, one in four people in the UK with a terminal illness, do not get the care or support they deserve at the end of their lives. We want a different society than the one we live in now. Our mission for the next five years is to close the gap in the number of people missing out on what they need at the end-of-life, through 3 ways: * Growing and transforming our direct care and support * Delivering more practical information and support * Leading in shaping the end-of-life experience We have an exciting opportunity for an experienced and dedicated Clinical Lead to join our Hospice team in Liverpool. This is a key leadership role for a committed professional who is passionate about delivering high-quality, compassionate care while leading and supporting teams to perform at their very best. Acting as a trusted link between frontline services and the Head of Operations & Quality, you will play a pivotal role in ensuring services run effectively, meet performance expectations and continue to evolve. As a Clinical Lead, you will provide clear oversight across established services, driving excellence through strong clinical governance, workforce leadership and continuous improvement. You will be a visible and credible clinical presence, offering expert guidance, strengthening partnerships and ensuring care remains truly person-centred for the communities we serve. Hours: Full-time, 35 hours per week Contract: Permanent Salary: £56,000 - £62,000 per annum (pro rata), plus a whole range of Marie Curie benefits. Location: Marie Curie Liverpool Hospice ## Qualifications * Degree in a nursing or health and social care qualification * Masters level degree in relevant subject or equivalent experience. * Evidence of post registration studies (including management or leadership training) * Current Professional Regulation Registration * Broad and extensive experience of caring for patients and families with complex care needs * Leadership experience in team and performance management * Leadership experience within multi professional setting * Self-motivated and able to meet deadlines * Ability to work on own initiative * UK driving licence and access to a car you can use for business purposes * Flexibility to travel to new and existing services where required ## Additional Information What's in it for you: * Annual leave allowance 25 days plus 8 public holidays (pro rata) – We honour continued NHS service and reassess total annual leave dates. * Competitive Policy for parental/sick Leave * Continuous Professional development * Industry leading training programmes * Season ticket loan for travelling to and from work * Defined contribution schemes for Pension - NHS pensions can be carried over! * Marie Curie Group Personal Pension Scheme * Loan schemes for bikes; computers and satellite navigation systems * Introduce a friend scheme * Help with eye care costs * Entitled to Marie Curie Blue Light Card * Entitled to Benefit-Hub Discount Scheme * Life assurance – for all employees To view the job description, please click [here](https://mariecurie.pagetiger.com/ckvovoh/1). To apply, please send us your most recent CV and a cover letter detailing your experience, how you meet the person specification and why you would like to work for Marie Curie. Advert closes: Sunday 28th June 2026 Interviews are being held on 1st July. For more information or an informal chat please contact Hiring Manager Rachel Woodington on Rachel.Woodington1@mariecurie.org.uk. At Marie Curie, our values are central to everything we do. They guide how we care for people, how we work together, and how we make decisions every day. We are committed to creating a workplace that is safe for everyone — staff and volunteers alike — supportive, inclusive and rewarding. We take stringent steps to ensure that anyone who joins our organisation are suitable for their roles and are committed to safeguarding all our people from harm. We actively consider our impact on the planet, embedding sustainability into everyday decisions to create a lasting, positive difference for the individuals we care for and the world we share. We believe everyone should have the opportunity to thrive and fulfil their potential. Marie Curie is deeply committed to diversity, equity and inclusion, recognising both the social justice imperative and the strength a diverse workforce brings. We actively encourage applications from people of all cultures, perspectives and lived experiences. We are happy to make reasonable adjustments throughout the recruitment process. If you require any support, please contact us at [recruitment@mariecurie.org.uk](mailto:recruitment@mariecurie.org.uk). Every application we receive is personally reviewed by a member of our Talent Acquisition team, and in return, we ask that your application authentically reflects you — your experience, perspective and voice.", "summaryDescription" : "Clinical Lead at Marie Curie. Skills: End-of-life care, Clinical leadership, Team support. Provide clear oversight across established services. Drive excellence through clinical governance", "postedDate" : "2026-06-15T15:41:36.000", "createdAt" : "2026-06-15T21:37:54.788", "lastUpdated" : "2026-06-16T06:17:33.962", "ingestTimestamp" : "2026-06-15T21:37:54.788", "mongoId" : "6a304f92f292fd229cee8bf6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Complex care needs", "Team management", "Performance management", "End-of-life care", "Clinical leadership", "Team support", "Clinical governance", "Workforce leadership", "Continuous improvement", "Person-centred care", "Hospice care", "Community nursing", "Professional Regulation Registration" ], "skillCount" : 13, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305051f292fd229ceeee43", "title" : "Sales Strategy Lead", "company" : "Doctolib", "industry" : "Sales", "salary" : { "min" : 50000.0, "max" : 70000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Milan", "locations" : [ "Milan" ], "timestamp" : "2026-06-16T10:46:29.576", "fingerprint" : "c7fe81435b7a19580070c2607ae2d557f23708beaf30d84462798f32b5e55896", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/doctolib/3378c5dd-0313-4930-a05a-57a18097ddb7/application", "externalId" : "3378c5dd-0313-4930-a05a-57a18097ddb7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milan", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "45.4641943,9.1896346" } ], "locationText" : "Milan, Italy", "employmentType" : "CONTRACT", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Excel, Google Sheets", "professionalSkills" : [ "Sales strategy", "Sales operations", "FP&A", "Management consulting", "Business intelligence", "Commercial planning", "Budget definition", "Incentive design", "Capacity modeling", "Cost-of-sales projections", "Business case building", "Sales compensation", "Bonus plans", "Financial modeling" ], "hardSkillsList" : [ "Performance metrics analysis", "Ad-hoc analysis", "Executive reporting", "Target setting", "Quota allocation", "Revenue goal translation", "Budget management", "Headcount planning", "Capacity modeling", "Cost projection", "Business case development", "Budget tracking", "Compensation plan design", "Bonus plan design", "Simulation modeling", "Bonus calculation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Performance metrics analysis", "level" : "intermediate" }, { "name" : "Ad-hoc analysis", "level" : "intermediate" }, { "name" : "Executive reporting", "level" : "intermediate" }, { "name" : "Target setting", "level" : "intermediate" }, { "name" : "Quota allocation", "level" : "intermediate" }, { "name" : "Revenue goal translation", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Headcount planning", "level" : "intermediate" }, { "name" : "Capacity modeling", "level" : "intermediate" }, { "name" : "Cost projection", "level" : "intermediate" }, { "name" : "Business case development", "level" : "intermediate" }, { "name" : "Budget tracking", "level" : "intermediate" }, { "name" : "Compensation plan design", "level" : "intermediate" }, { "name" : "Bonus plan design", "level" : "intermediate" }, { "name" : "Simulation modeling", "level" : "intermediate" }, { "name" : "Bonus calculation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Sales Strategy, Sales Operations, Financial Planning, Commercial Planning", "majorSkillsList" : [ "Sales Strategy", "Sales Operations", "Financial Planning", "Commercial Planning" ], "coreResponsibilities" : "Define sales metrics, Monitor sales metrics, Conduct ad-hoc analyses, Implement actionable insights, Create executive reports, Drive target-setting process, Build quota models, Maintain quota models, Allocate quotas, Translate revenue goals, Align on assumptions, Monitor performance against targets, Recommend mid-cycle adjustments, Define sales budget, Manage sales budget, Plan headcount, Model capacity, Project costs, Build business cases, Track budget consumption, Flag deviations, Propose corrective actions, Design compensation plans, Model compensation plans, Maintain compensation plans, Drive desired behaviors, Align individual incentives, Run incentive simulations, Assess financial impact, Assess motivational impact, Ensure bonus calculations, Coordinate bonus execution", "teamCollaboration" : "Partner with Sales Leadership; Work cross-functionally; Coordinate with Finance; Coordinate with Sales Leadership; Coordinate with Marketing; Coordinate with Product; Coordinate with HR; Partner with Finance; Coordinate with HR", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Go-to-market strategy; Sales performance metrics; Customer segmentation; Territory white space; Sales productivity; Quota attainment; Forecasting accuracy; B2B SaaS; High-growth tech; Healthcare; Health tech", "domainList" : [ "go-to-market-strategy", "sales-performance-metrics", "customer-segmentation", "territory-white-space", "sales-productivity", "quota-attainment", "forecasting-accuracy", "b2b-saas", "high-growth-tech", "healthcare", "health-tech" ], "domainSpecificKnowledge" : [ "Go-to-market strategy", "Sales performance metrics", "Customer segmentation", "Territory white space", "Sales productivity", "Quota attainment", "Forecasting accuracy", "B2B SaaS", "High-growth tech", "Healthcare", "Health tech" ], "toolProficiency" : [ "Excel", "Google Sheets" ], "communicationSkills" : "Executive presentations; Senior stakeholder presentations", "continuousLearning" : "Mentorship programme", "problemSolvingSkills" : "Analytical skills; Problem solving", "outcomesObjectives" : "Structure sales for performance; Structure sales for accountability; Structure sales for growth; Achieve ambitious targets; Achieve fair targets; Drive right behaviors; Align individual incentives; Achieve company objectives; Focus on measurable outcomes", "qualificationsBasic" : "3+ years analytical role, Target setting experience, Quota modeling experience, Compensation design experience, Financial acumen, Advanced Excel proficiency, Advanced Google Sheets proficiency, English communication skills, Italian communication skills, AI-powered workflows experience, AI-driven initiatives design, AI-driven initiatives rollout", "qualificationsPreferred" : "B2B SaaS experience, High-growth tech experience, Incentive plan design exposure, Variable compensation frameworks exposure, SQL familiarity, BI tools familiarity, Healthcare interest, Health tech interest", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for a Sales Strategy Lead to join the Sales Strategy team in Milan. As a Sales Strategy Lead, your mission will be to act as a trusted partner to Sales Leadership, helping shape and execute Doctolib's go-to-market strategy across markets. You will sit at the intersection of data, strategy, and commercial planning — owning critical processes such as target setting, budget definition, and incentive design. You will work cross-functionally with Marketing, Product, Finance and HR to ensure our sales organization is structured for performance, accountability, and growth. Your responsibilities include but are not limited to: Business performance & strategic analysis - Define and monitor key sales and account management performance metrics (pipeline health, win rates, quota attainment, forecasting accuracy) - Conduct ad-hoc analyses (customer segmentation, territory white space, sales productivity) to surface actionable insights and own their implementation - Create compelling executive-level reports for QBRs, leadership reviews, and strategic planning sessions. Target setting & sales planning - Own and drive the annual and quarterly target-setting process for the sales organization, ensuring targets are ambitious, fair, and grounded in market reality - Build and maintain robust models to allocate quotas across segments, regions, and individual contributors - Translate company-level revenue goals into granular sales targets, coordinating with Finance and Sales Leadership to align on assumptions and methodology - Monitor performance against targets throughout the year and recommend mid-cycle adjustments when needed. Budget definition & headcount planning - Partner with Finance to define and manage the sales budget, including headcount planning, capacity modeling, and cost-of-sales projections - Build business cases to support investment decisions (new hires, new markets, coverage model changes) - Track budget consumption and flag deviations proactively, proposing corrective actions where necessary. Bonus & incentive plan design - Design, model, and maintain sales compensation and bonus plans that drive the right behaviors and align individual incentives with company objectives - Run simulations to assess the financial and motivational impact of different incentive structures before they are rolled out - Ensure bonus calculations are executed accurately and on time each period, in close coordination with Finance and HR - Act as the primary point of contact for Sales Leadership on compensation-related questions and disputes. WHO YOU ARE Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You could be our next team mate if you: - Have 3+ years of experience in a highly analytical role such as Sales Strategy, Sales Operations, FP&A, Management Consulting, or Business Intelligence - Have demonstrated experience with target setting, quota modeling, or compensation design in a commercial environment - Have strong financial acumen and are comfortable working with budgets, headcount models, and P&L logic - Have advanced proficiency in Excel/Google Sheets, with the ability to build complex models from scratch - Have excellent communication skills in English and Italian and can present clearly to senior stakeholders - Have experience building AI-powered workflows or agents, and you are able to design and roll out AI-driven initiatives with a clear focus on measurable outcomes - Can manage ambiguity, prioritize effectively, and deliver in a dynamic environment. Now it would be fantastic if you: - Have experience in a B2B SaaS or high-growth tech environment - Have exposure to incentive plan design or variable compensation frameworks - Are familiar with SQL or BI tools for data querying and reporting - Have an interest in healthcare or health tech. WHAT WE OFFER - Supplementary health insurance, with the option to include family members in your household - A flexible workplace policy offering both hybrid and office-based mode - Electronic meal vouchers (8.00€ per worked day), Foorban fridges, and office breakfast - Reimbursement of public transportation - Work from abroad for up to 10 days per year thanks to our flexibility days policy - Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth - Parent Care Program: various initiatives supporting parenthood, including 100% paid parental leave - Free mental health and coaching services through our partner Moka.care - For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support - A partnership with Wellhub, as well as free access to the gym in our Milan office, with 3 classes offered per week (yoga, pilates, functional training) - Partnership for retirement funds with Ciao Elsa. THE INTERVIEW PROCESS - Screening call with the Talent Acquisition team - Interview with the hiring manager - Case study - Final interview - At least one reference check - Offer! JOB DETAILS - Permanent position - Full Time - Milan - Start date: September 2026 - Compensation: €50.000 - €70.000 (including 8% performance-based bonus) - Hybrid work setup (up to 2 remote days per week). At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here https://doctolib.legal/B2C-Privacy-Policy-Career-IT. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.", "summaryDescription" : "Sales Strategy Lead at Doctolib. Skills: Sales Strategy, Sales Operations, Financial Planning, Commercial Planning. Define sales metrics. Monitor sales metrics", "createdAt" : "2026-06-16T00:26:41.951", "lastUpdated" : "2026-06-16T10:46:29.576", "ingestTimestamp" : "2026-06-16T00:26:41.951", "mongoId" : "6a305051f292fd229ceeee43", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Performance metrics analysis", "Ad-hoc analysis", "Executive reporting", "Target setting", "Quota allocation", "Revenue goal translation", "Budget management", "Headcount planning", "Capacity modeling", "Cost projection", "Business case development", "Budget tracking", "Compensation plan design", "Bonus plan design", "Simulation modeling", "Bonus calculation", "Leadership", "Sales Strategy", "Sales Operations", "Financial Planning", "Commercial Planning", "Sales strategy", "Sales operations", "FP&A", "Management consulting", "Business intelligence", "Commercial planning", "Budget definition", "Incentive design", "Cost-of-sales projections", "Business case building", "Sales compensation", "Bonus plans", "Financial modeling", "Roadmap planning", "Go-to-market strategy", "Sales performance metrics", "Customer segmentation", "Territory white space", "Sales productivity", "Quota attainment", "Forecasting accuracy", "B2B SaaS", "High-growth tech", "Healthcare", "Health tech", "Excel", "Google Sheets" ], "skillCount" : 48, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306f13f292fd229cfe4e3e", "title" : "Sr Principal Data Scientist", "company" : "Smartsheet", "industry" : "Technology", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Sr Principal Data Scientist in India, adjusted for executive seniority and SaaS industry." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T12:57:10.373", "fingerprint" : "a47fdd84f1abdd9a6c6bad7c3ae31c23d9dd31bbb39de2f4c75ee09115a7ad98", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/smartsheet/jobs/8007345", "externalId" : "8007345", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring Personally ship the highest-leverage models and sub-agents — the ones that need a senior IC to frame the problem, push through ambiguity, and de-risk the approach Drive technical decisions on the data foundations and knowledge layer sub-agents reason over, with strong stewardship of privacy, aggregation, and customer trust Partner with senior Product, Engineering, and Applied AI leaders to shape strategy, roadmap, and investment Raise the bar for the data science team — mentor staff and principal data scientists, review designs, set hiring standards, and grow the org’s modeling rigor You Have: Bachelor’s degree and 12+ years of experience (or 14+ years of experience); advanced degree in a quantitative field (Statistics, CS, ML, Economics, Operations Research, or similar) strongly preferred Track record of setting technical direction for applied ML and AI work that ships and matters — major initiatives, complex systems, or new modeling paradigms taken from idea to production impact Deep applied ML expertise across both traditional ML and deep learning: gradient boosting, regularized linear models, transformer-based sequence models, foundation model embeddings, causal ML, contextual bandits, and offline RL Architect-level grasp of agentic AI systems: tool use, retrieval, multi-step reasoning, evaluation, guardrails, and the patterns for keeping all of it reliable in production Strong grasp of causal inference for intervention design and lifecycle modeling: uplift modeling, difference-in-differences, propensity scoring, and synthetic control Solid foundation in statistics and experimental design at scale: hypothesis testing, power analysis, multiple comparisons, sequential testing, and quasi-experimental methods Experience operating ML in production at scale — feature engineering and pipelines, model monitoring, drift detection, retraining cadence, and the trade-offs between batch and real-time serving Proficient in SQL and Python; comfort with ML/LLM tooling at scale (Spark, Databricks, Snowflake, or equivalents), ML frameworks (PyTorch, scikit-learn, XGBoost/LightGBM), and visualization tools (Tableau or similar) Experience leading lifecycle modeling work — churn, expansion, adoption, plan health, lead/account scoring — and business fluency in the SaaS metrics that drive it (NRR, GRR, ARR, and cohort economics) A pragmatic production bar: latency, cost, monitoring, drift, hallucination, and what happens when the model or sub-agent is wrong Demonstrated ability to influence senior product and engineering leaders and to mentor staff and principal data scientists — your track record shows people and decisions, not just models, getting better Comfort operating in deep ambiguity — defining the problem, choosing the approach, and aligning the team when no playbook exists Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. #LI-Remote", "summaryDescription" : "Sr Principal Data Scientist at Smartsheet", "postedDate" : "2026-06-16T01:15:47.812", "createdAt" : "2026-06-16T01:15:47.812", "lastUpdated" : "2026-06-16T12:57:10.373", "ingestTimestamp" : "2026-06-16T01:15:47.812", "mongoId" : "6a306f13f292fd229cfe4e3e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca5bd74d8ee00a09b7ee8", "title" : "Principal Data Scientist", "company" : "Intellishore", "industry" : "Consulting", "salary" : { "min" : 950000.0, "max" : 1450000.0, "currency" : "DKK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Denmark, adjusted for executive seniority, biotech industry, and Copenhagen city tier." }, "location" : "Copenhagen", "locations" : [ "Copenhagen" ], "timestamp" : "2026-06-16T00:46:31.765", "fingerprint" : "9488786ac1ba448028ae7190dbf3c956e5ec1dfccd326cf39dd5db85c2c2d3e4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/intellishoredk/jobs/7724568003", "externalId" : "7724568003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Copenhagen", "country" : "Denmark", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "55.6867243,12.5700724" } ], "locationText" : "Copenhagen, Denmark", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine learning, Forecasting", "professionalSkills" : [ "Client engagements", "Business critical programs", "Commercial measurement", "Data science workstream", "Methodology development", "Offering development" ], "hardSkillsList" : [ "Machine learning", "Forecasting", "Causal inference", "Measurement" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Measurement", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Forecasting, Causal inference", "majorSkillsList" : [ "Machine learning", "Forecasting", "Causal inference" ], "coreResponsibilities" : "Lead data science workstream on client engagements, Set technical bar on machine learning, Set technical bar on forecasting, Build methods and templates, Mentor and grow data scientists, Mentor and grow data engineers, Shape new offerings, Represent Intellishore externally", "teamCollaboration" : "Client executives; Brand leadership; Leadership team", "domainKnowledge" : "Commercial pharma; Regulated industry; Healthcare; Pharma", "domainList" : [ "commercial-pharma", "regulated-industry", "healthcare", "pharma" ], "domainSpecificKnowledge" : [ "Commercial pharma", "Regulated industry", "Healthcare", "Pharma" ], "communicationSkills" : "Thought leadership; Client conversations", "specialRequirements" : "Right to work in Denmark", "qualificationsBasic" : "8+ years in data science, Machine learning experience, Forecasting experience, Commercial context experience, Marketing context experience, Pricing context experience, Lead senior client-facing engagements, Lead business-critical internal programs, Domain grounding in pharma, Domain grounding in healthcare, Domain grounding in regulated industry", "qualificationsPreferred" : "Understanding MLOps, Experience shaping data offerings, Experience shaping AI offerings, Experience launching data offerings, Experience launching AI offerings, Experience shaping data products, Experience shaping AI products, Experience launching data products, Experience launching AI products, Danish language", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The problem we're hiring you to solve Commercial pharma is sitting on a measurement problem. Launch decisions, field force deployment, HCP engagement, pricing - most of the value moves before anyone knows what worked, and the standard playbooks weren't built for fragmented channels, privacy constraints, or the causal questions that actually matter to commercial leaders. And the ground keeps moving - AI is rewriting what \"analytics\" even means to a commercial org, and the regulatory and tech stack underneath it all is shifting faster than most teams can absorb. Intellishore works at the sharp end of this. Our commercial pharma practice partners with global top-20 pharma pioneers on data and AI decisions that shape launches, portfolios, and commercial performance. We're hiring a Principal Data Scientist to lead the technical depth of this work — shaping methodology, owning delivery on our most demanding engagements, and building out how we deliver measurements, causal inference, and machine learning in the next generation of our offerings. What you'll actually do Lead the data science workstream on senior client engagements - typically 1-2 concurrent projects, working directly with client executives and brand leadership. Set the technical bar on machine learning and forecasting across our commercial pharma portfolio and build the methods and templates that scale across the practice and into new segments. Mentor and grow a small team of data scientists and engineers. Team size: 10 today, growing to 30. Shape new offerings alongside our leadership - from scoping to pricing to the IP that underpins them. Represent Intellishore externally: Thought leadership, conferences, and senior client conversations where credibility matters. Who you are Must-haves: 8+ years in data science, with meaningful time spent on machine learning and forecasting in commercial, marketing, or pricing contexts. Track record of leading senior client-facing engagements or business-critical internal programs - consulting, in-house commercial analytics, or both. Strong domain grounding in pharma, healthcare, or another regulated industry where commercial measurement is hard. Nice to have: Understanding MLOps at a level where you know what good looks like and can still get your hands dirty when it matters. Experience shaping or launching data/AI offerings, practices, or products. Danish is a plus, not a requirement. Our working language is English. Why Intellishore? We're a boutique of ~100 people across Copenhagen and Zürich, and our commercial pharma stronghold is genuine - not a side bet. That means three things that matter at your level: Real mandate. You'll own the technical direction of a practice, not a single workstream within a larger machine. If you've wanted to shape how a firm approaches machine learning in healthcare, this is the seat. Concrete path. Practice Lead for ML in Commercial Pharma within 1–2 years; Director track over 2–4 years from hire. We'll map it to your ambitions in the first conversation. Compensation. We'll be direct about level, bonus structure, and the full package early in the process. Practicalities Based in Copenhagen. Expect 3-5 days in the office or at the client site. Travel roughly 5% of weeks, primarily within Europe. You must have the right to work in Denmark at the time of application. Apply We read every application. If most of this resonates, but you don't tick every box, apply anyway — we'd rather have the conversation. Reach out to Sofie Freund with questions: sofie.freund@intellishore.dk · +45 93 98 17 27. We interview on a rolling basis.", "summaryDescription" : "Principal Data Scientist at Intellishore. Skills: Machine learning, Forecasting, Causal inference. Lead data science workstream on client engagements. 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TGH Main Campus (TGHMAIN)
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Tampa, 33601

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We’re looking for a Clinical Lead to join our team and manage a caseload of adult and paediatric packages across Yorkshire. Acacium Group are a leading global healthcare delivery partner and we are hiring a Clinical Lead. Part of Acacium Group, Thornbury Community Services are a team of exceptional and conscientious nurses and care staff with high-quality care as their number one priority. This enables us to deliver the best complex care at home or in the community, 24/7 or whenever our service users need it. With compassion, integrity and dedication, we help empower people to achieve personal aspirations, as well as providing care tailored to their needs. Making a positive difference to our client’s lives is our passion and it’s this that sets us apart. About the Role In this role, you will: Undertake initial holistic nursing assessments in partnership with the client, their family and the care team. Develop individualised care plans in partnership with the client, their family and other healthcare professionals. Effectively communicate with staff on the clinical condition/diagnosis and treatment/discharge plans of clients and ensure accurate records are maintained by staff. Identify and manage risks as part of care provision and lead the investigation and resolution of clinical incidents, ensuring timely and thorough documentation. Support staff by delivering client-specific clinical training, mentorship and supervision by providing feedback, conducting performance reviews, and supporting professional development. This is a role where your nursing skills and knowledge will really make a difference. What You’ll Bring We don’t expect perfection. If most of this sounds like you, we’d love to hear from you: Confidence working with Microsoft packages like Word, Excel and Outlook. Good written and verbal communication skills. A person centred approach. Why Join Us? Your work will directly shape decisions that improve our services. You’ll help us maximise value by ensuring data quality. You’ll be part of a supportive team where new ideas are welcomed. You’ll have opportunities to learn, grow, and develop your skills. Your Benefits Pensions scheme, free mortgage broker service & life assurance Wellbeing Benefits - Employee Assistance Programme. Digital Health & Wellbeing App. Mental, Social, Physical & Financial Workshops Recognition Benefits. Long Service awards, Exceptional performance awards & Increasing holiday allowance Discounts. 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From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Strategy you can delegate, prioritize, and take responsibility You are a problem solver; you don’t accept the status quo and are always looking for creative solutions Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary Range: $130,000 - $165,000 / year We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. Ready to join the ride? Via is an equal opportunity employer.", "summaryDescription" : "Strategy & Operations Principal, Driver Supply at Via", "postedDate" : "2026-06-15T23:23:26.191", "createdAt" : "2026-06-15T23:23:26.191", "lastUpdated" : "2026-06-16T09:11:32.125", "ingestTimestamp" : "2026-06-15T23:23:26.191", "mongoId" : "6a30577ef292fd229cf3a618", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2ca40074d8ee00a09af53a", "title" : "Clinical Lead", "company" : "Thornbury Community Services", "industry" : "Healthcare", "salary" : { "min" : 49000.0, "max" : 53000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "222 Grays Inn Rd, London, WC1X 8HB", "locations" : [ "222 Grays Inn Rd", "London", "WC1X 8HB" ], "certifications" : [ "NMC pin" ], "timestamp" : "2026-06-15T22:24:27.005", "fingerprint" : "aeaaa0135c03ee6d4412a9a528b119f1af63cdd18fbad2311fd025f9fa7efdf3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tcs/jobs/7731935003", "externalId" : "7731935003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gloucester", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.8653705,-2.2458192" }, { "city" : "Bristol", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.4538022,-2.5972985" }, { "city" : "Oxford", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.7520131,-1.2578499" } ], "locationText" : "Gloucester, United Kingdom; Bristol, United Kingdom; Oxford, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Care planning", "Risk management", "Clinical training", "Mentorship", "Performance reviews", "Professional development" ], "hardSkillsList" : [ "Holistic nursing assessments", "Client-specific training" ], "hardSkills" : [ { "name" : "Holistic nursing assessments", "level" : "intermediate" }, { "name" : "Client-specific training", "level" : "intermediate" } ], "majorSkills" : "Complex care, Community care, Team management", "majorSkillsList" : [ "Complex care", "Community care", "Team management" ], "coreResponsibilities" : "Undertake holistic nursing assessments, Develop individualised care plans, Communicate clinical condition/diagnosis, Ensure accurate records are maintained, Identify and manage risks, Lead investigation of clinical incidents, Lead resolution of clinical incidents, Support staff by delivering training, Provide feedback to staff, Conduct performance reviews, Support professional development", "teamCollaboration" : "Care team; Other healthcare professionals", "domainKnowledge" : "Complex care; Tracheostomy care; Ventilation management", "domainList" : [ "complex-care", "tracheostomy-care", "ventilation-management" ], "domainSpecificKnowledge" : [ "Complex care", "Tracheostomy care", "Ventilation management" ], "toolProficiency" : [ "Microsoft Word", "Microsoft Excel", "Microsoft Outlook" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Accurate record maintenance; Thorough documentation", "continuousLearning" : "Opportunities to learn; Opportunities to grow; Opportunities to develop skills", "innovationCreativity" : "New ideas welcomed", "problemSolvingSkills" : "Clinical incident resolution", "specialRequirements" : "On call telephone support, Frequent travel", "outcomesObjectives" : "Improve our services; Maximise value by ensuring data quality", "qualificationsBasic" : "Adult nursing degree, Active NMC pin, Experience in complex care, Experience in critical care, Competencies in tracheostomy, Competencies in ventilation, Experience managing clinical teams, Experience in a community setting", "qualificationsPreferred" : "Microsoft packages experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "We’re Hiring: Clinical Lead Permanent, Full Time + on call telephone support on a rota system Field based with frequent travel across Gloucester, Bristol and Oxford £49,000-£53,000 + £3,000 car allowance Are you passionate about delivering exceptional care and making a real difference in the community? We’re looking for a Clinical Lead to join our team and manage a caseload of adult and paediatric packages. Acacium Group are a leading global healthcare delivery partner and we are hiring a Clinical Lead. Part of Acacium Group, Thornbury Community Services are a team of exceptional and conscientious nurses and care staff with high-quality care as their number one priority. This enables us to deliver the best complex care at home or in the community, 24/7 or whenever our service users need it. With compassion, integrity and dedication, we help empower people to achieve personal aspirations, as well as providing care tailored to their needs. Making a positive difference to our client’s lives is our passion and it’s this that sets us apart. About the Role In this role, you will: Undertake initial holistic nursing assessments in partnership with the client, their family and the care team. Develop individualised care plans in partnership with the client, their family and other healthcare professionals. Effectively communicate with staff on the clinical condition/diagnosis and treatment/discharge plans of clients and ensure accurate records are maintained by staff. Identify and manage risks as part of care provision and lead the investigation and resolution of clinical incidents, ensuring timely and thorough documentation. Support staff by delivering client-specific clinical training, mentorship and supervision by providing feedback, conducting performance reviews, and supporting professional development. This is a role where your nursing skills and knowledge will really make a difference. What You’ll Bring We don’t expect perfection. If most of this sounds like you, we’d love to hear from you: Confidence working with Microsoft packages like Word, Excel and Outlook. Good written and verbal communication skills. A person centred approach. Why Join Us? Your work will directly shape decisions that improve our services. You’ll help us maximise value by ensuring data quality. You’ll be part of a supportive team where new ideas are welcomed. You’ll have opportunities to learn, grow, and develop your skills. Your Benefits Pensions scheme, free mortgage broker service & life assurance Wellbeing Benefits - Employee Assistance Programme. Digital Health & Wellbeing App. Mental, Social, Physical & Financial Workshops Recognition Benefits. Long Service awards, Exceptional performance awards & Increasing holiday allowance Discounts. Shopping, lifestyle & cinema discounts Experience and Qualifications We’re Looking For An adult nursing degree with an active NMC pin Experience in complex or critical care with competencies in tracheostomy and ventilation Experience managing clinical teams Experience in a community setting Inclusion & Accessibility We are passionately committed to being a truly inclusive and diverse company- it is at the heart of our core value of Putting People First. We continue to enhance our culture of inclusion and diversity across all of our roles and actively encourage applications from all backgrounds and communities.", "summaryDescription" : "Clinical Lead at Thornbury Community Services. Skills: Complex care, Community care, Team management. Undertake holistic nursing assessments. Develop individualised care plans", "postedDate" : "2026-06-14T19:15:34.792", "createdAt" : "2026-06-14T19:15:34.792", "lastUpdated" : "2026-06-15T22:24:27.005", "ingestTimestamp" : "2026-06-14T19:15:34.792", "mongoId" : "6a2ca40074d8ee00a09af53a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Holistic nursing assessments", "Client-specific training", "Complex care", "Community care", "Team management", "Care planning", "Risk management", "Clinical training", "Mentorship", "Performance reviews", "Professional development", "Tracheostomy care", "Ventilation management", "NMC pin", "Microsoft Word", "Microsoft Excel", "Microsoft Outlook" ], "skillCount" : 17, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6b9774d8ee00a09136e7", "title" : "Principal Workplace Strategy", "company" : "Unispace", "industry" : "Real Estate", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "NZD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Principal Workplace Strategist in Auckland, New Zealand, adjusted for senior experience and the real estate industry." }, "location" : "Auckland, New Zealand", "locations" : [ "Auckland", "New Zealand" ], "timestamp" : "2026-06-15T10:02:08.904", "fingerprint" : "8385c5452d15a60489d4215dd3f765a55a0e7482deb0072691f944d95d613e57", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/unispace/jobs/5978594004", "externalId" : "5978594004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Auckland", "country" : "New Zealand", "continent" : "oc", "source" : "llm", "workMode" : "hybrid", "geo" : "-36.8520950,174.7631803" } ], "locationText" : "Auckland, New Zealand", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Strategic advisory", "Data-driven insights", "Vision setting", "Storytelling", "Pitch strategies", "Project scope definition", "Timeline definition", "Programme definition", "Business analysis", "Real estate analysis", "Industry shift analysis", "Workforce behavior analysis", "Stakeholder engagement", "Relationship building", "Opportunity proposals", "Change management", "Communication plans", "Thought leadership", "Go-to-market strategies", "Positioning enhancement", "Messaging enhancement" ], "hardSkillsList" : [ "Workplace strategy development", "Workplace strategy delivery", "Client presentations", "Stakeholder engagement facilitation", "Relationship management", "Strategic plan creation", "Opportunity proposal creation", "Communication plan development", "Go-to-market strategy development" ], "hardSkills" : [ { "name" : "Workplace strategy development", "level" : "intermediate" }, { "name" : "Workplace strategy delivery", "level" : "intermediate" }, { "name" : "Client presentations", "level" : "intermediate" }, { "name" : "Stakeholder engagement facilitation", "level" : "intermediate" }, { "name" : "Relationship management", "level" : "intermediate" }, { "name" : "Strategic plan creation", "level" : "intermediate" }, { "name" : "Opportunity proposal creation", "level" : "intermediate" }, { "name" : "Communication plan development", "level" : "intermediate" }, { "name" : "Go-to-market strategy development", "level" : "intermediate" } ], "majorSkills" : "Workplace strategy, Client advisory, Strategic narrative, Stakeholder engagement", "majorSkillsList" : [ "Workplace strategy", "Client advisory", "Strategic narrative", "Stakeholder engagement" ], "coreResponsibilities" : "Lead workplace strategy development, Lead workplace strategy delivery, Act as strategic adviser, Reimagine workplace through insights, Set workplace vision, Tell workplace stories, Form pitch strategies, Create compelling storylines, Define project scopes, Define project timelines, Define project programmes, Craft project briefs, Define workplace visions, Drive clarity around initiatives, Analyse business drivers, Analyse real estate drivers, Analyse industry shifts, Analyse workforce behaviours, Influence strategy, Lead client presentations, Facilitate stakeholder engagement, Build client relationships, Maintain client relationships, Build partner relationships, Maintain partner relationships, Become trusted thought leader, Create strategic plans, Create opportunity proposals, Develop change management strategies, Lead communication plans, Produce thought leadership materials, Produce go-to-market strategies, Enhance positioning, Enhance messaging, Contribute to global frameworks, Contribute to global toolkits", "teamCollaboration" : "Internal teams; Sales teams; Design teams; Marketing teams; Cross-functional teams; Diverse stakeholders", "projectManagementSkills" : [ "Project scope", "Timelines", "Programmes" ], "domainKnowledge" : "Workplace strategy; Life sciences projects; Commercial design", "domainList" : [ "workplace-strategy", "life-sciences-projects", "commercial-design" ], "domainSpecificKnowledge" : [ "Workplace strategy", "Life sciences projects", "Commercial design" ], "communicationSkills" : "Client presentations; Stakeholder engagement; Storytelling; Thought leadership", "continuousLearning" : "Career development; Innovation; New ideas", "innovationCreativity" : "Innovation; New ideas", "problemSolvingSkills" : "Solve complex challenges", "specialRequirements" : "Travel to client-sites, Be in Auckland Studio", "outcomesObjectives" : "Create transformative workplace solutions; Respond to business challenges; Respond to future trends; Align with client objectives; Support business growth", "qualificationsBasic" : "Proven experience in workplace strategy, Client-facing and presentation skills, Background in leading stakeholder engagements, Ability to build compelling strategic narrative, Manage multiple projects and priorities, Distill complex ideas, Produce clear, engaging strategies, Lead cross-functional teams, Align diverse stakeholders, Visionary thinker, Translate workplace trends into actionable strategies", "qualificationsPreferred" : "Experience in design, architecture, real estate, or consulting space", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Unispace, we create spaces that empower people and businesses to thrive. We are a global design-build partner delivering workplace and life sciences projects for some of the world’s most innovative brands. With over 500 people across four continents, we bring together strategy, design, project management, and delivery into one seamless experience. Our integrated approach enables us to move with agility, solve complex challenges, and deliver meaningful outcomes for our clients. Our people are at the centre of everything we do. We foster a collaborative, inclusive culture that values curiosity, accountability, creativity, and continuous improvement. We believe diverse perspectives strengthen our teams and help us create better experiences for our clients and each other. At Unispace, you’ll have the opportunity to contribute to impactful projects, work alongside talented global teams, and grow your career in an environment that encourages innovation and new ideas. Role Profile: At Unispace, our approach to workplace strategy is rooted in our belief that space shapes outcomes. We are looking for a strategic and visionary Principal Workplace Strategy to join our growing team. Based in Auckland, this role will be fundamental in shaping and leading the development of workplace strategy across New Zealand, supporting a wide range of clients across various sectors. This individual will initially report to our Head of Sales for New Zealand. This is a high-impact role working across marketing, strategy, design, and client services. You’ll partner closely with sales and design teams to create transformative workplace solutions that respond to business challenges and future trends. Key Responsibilities: Lead the development and delivery of workplace strategy across our ANZ projects. Act as a strategic adviser to clients, helping them reimagine their workplace through data-driven insights, vision setting, and storytelling. Form and lead pitch strategies and compelling storylines tailored to client objectives. Define project scopes, timelines, and programmes, working in alignment with our global process. Collaborate with internal teams to craft project briefs, define workplace visions, and drive clarity around the ‘why’ behind each initiative. Analyse business and real estate drivers, industry shifts, and workforce behaviours to influence strategy. Lead and facilitate client presentations and stakeholder engagement sessions. Build and maintain high-level relationships with clients and partners, becoming a trusted thought leader. Create strategic plans and opportunity proposals that align with client objectives and Unispace’s unique value proposition. Develop change management strategies and lead associated communication plans. Produce thought leadership materials and go-to-market strategies to support business growth. Partner with sales and marketing teams to enhance positioning and messaging. Contribute to global workplace strategy frameworks and toolkits. What We’re Looking For: Proven experience in workplace strategy, preferably in the design, architecture, real estate, or consulting space. Strong client-facing and presentation skills, with a background in leading stakeholder engagements. Ability to build a compelling strategic narrative backed by research, analytics, and business logic. Adept at managing multiple projects and priorities in a fast-paced environment. Confident in distilling complex ideas and producing clear, engaging strategies. Comfortable leading cross-functional teams and aligning diverse stakeholders. Visionary thinker with the ability to translate workplace trends into actionable strategies. Why Unispace? Unispace is a global workplace strategy, design, and construction firm creating tailored spaces that spark brilliance. With 26 studios worldwide, we collaborate with some of the most innovative organisations to redefine what the workplace can be. This role is an exciting opportunity to influence the strategic direction of work environments across ANZ and, over time, globally. What We Offer In return, you will receive a competitive salary and a generous benefits package, including paid holiday leave, and travel opportunities across our global offices. Unispace Group values its employees and offers extensive rewards and recognition, career development, and a focus on well-being. While we do support Hybrid and Flexible working where possible, there will be a requirement to travel to client-sites as well as to be in our Auckland Studio to collaborate with the team on a regular basis. Join Us If you are passionate about joining Unispace, and contributing to some of the world’s most recognisable commercial design projects, then please apply through our careers site or reach out to one of our Talent Acquisition team. The statements in this job description are intended to describe the general nature and level of work being performed by individuals assigned to this role. They are not intended to be an exhaustive list of all responsibilities, duties, or skills required. We encourage applications from individuals of all backgrounds and experiences and are committed to providing reasonable accommodations throughout the recruitment process and employment lifecycle where required by applicable law. Inclusion & Diversity At Unispace, we believe diverse perspectives strengthen our teams, our culture, and the work we deliver for our clients. We are committed to fostering an inclusive workplace where everyone is treated with respect and has the opportunity to thrive. Employment decisions are based on qualifications, merit, and business needs, in accordance with applicable local laws and regulations.", "summaryDescription" : "Principal Workplace Strategy at Unispace. Skills: Workplace strategy, Client advisory, Strategic narrative, Stakeholder engagement. Lead workplace strategy development. 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Communication with Lab Leadership", "domainKnowledge" : "CLIA-certified laboratory; Genomics; Precision medicine; Transplant patient care", "domainList" : [ "clia-certified-laboratory", "genomics", "precision-medicine", "transplant-patient-care" ], "domainSpecificKnowledge" : [ "CLIA-certified laboratory", "Genomics", "Precision medicine", "Transplant patient care" ], "toolProficiency" : [ "Microsoft Office", "Outlook", "Word", "Excel", "PowerPoint", "LIMS" ], "documentationSkills" : "Prepare reports; Document QC activities; Document corrective actions; Draft standard operating procedures", "problemSolvingSkills" : "Troubleshooting; Analytical skills; Problem identification; Root cause analysis", "qualificationsBasic" : "California Clinical Laboratory Scientist (CLS) license, BSA in biology-related science, 1-6 years experience high-complexity testing, Proficiency in Microsoft Office suite, Analytical skills with databases and Excel, Ability to build relationships, Proficiency in molecular testing techniques", "qualificationsPreferred" : "Experience in immunology, Experience in microbiology, Experience in related fields, Understanding of disease complex treatment algorithms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "CareDx, Inc. is a leading precision medicine solutions company focused on the discovery, development, and commercialization of clinically differentiated, high-value healthcare solutions for transplant patients and caregivers. CareDx offers products, testing services, and digital healthcare solutions along the pre- and post-transplant patient journey, and is the leading provider of genomics-based information for transplant patients. **This role is based on-site in Brisbane, CA** The Clinical Laboratory Scientist (CLS) performs testing in the CLIA-certified laboratory, participates in quality control, quality assurance and troubleshooting activities. A CLS performs duties under general direction, carrying out work assignments in accordance with policies and objectives established by the Clinical Laboratory Manager (CLM)or designee. A CLS is expected to plan and organize his or her own work, determining work methods and assisting in the determination of priorities and deadlines. Completed work is reviewed by the CLM or designee to verify the achievement of expected results. Shift Schedule: Tuesday-Saturday, 10:30 am-7:00 pm Responsibilities: Handle and process patient samples, analyze test results, prepare reports, and maintain records of test results. May be required to accession samples into the laboratory information management system (LIMS) to facilitate sample throughput. Comply with CareDx quality control policies and document QC activities, including instrument and procedural calibrations and maintenance. Maintain confidentiality of personal health information (PHI). Identify problems that may affect test performance or results and, following established protocols, correct problems or escalate to Clinical Laboratory Manager, technical supervisor, clinical consultant or lab director. Identify test systems that deviate from acceptable performance specifications and follow established policies and procedures to correct operation. Document corrective actions taken when test systems deviate from established performance specifications. Teach/train CareDx policy, methods, and techniques to new employees; may perform in-service and competency testing of employees. Participate in drafting and developing standard operating procedures for tasks in which proficiency has been demonstrated. Represent the Reference lab testing, quality control and quality assurance program in interactions with other groups. Under direction of the CLM, investigate and follow-up on proficiency testing, quality control results and patient testing that does not meet standards. Perform additional duties and projects assigned by the Clinical Laboratory Manager. Demonstrate knowledge of, and support, the CareDx mission, vision, value statements, standards, policies and procedures, operating instructions, confidentiality standards, and ethical behavior. Comply with all local, state, and federal laws and regulations governing clinical laboratory operations Minimum Education, Experience, & Specialized Knowledge (Required):  Held California Clinical Laboratory Scientist (CLS) license BS/BA in a biology-related science At least 1-6 years of experience performing high-complexity testing in a clinical laboratory Proficiency in Microsoft Office suite of programs (Outlook, Word, Excel, PowerPoint, etc.) Demonstrated analytical skills, including working with databases and Excel Strong interpersonal skills Ability to build and maintain effective working relationships with CareDx employees at all levels as well as customers and vendors. Demonstrated proficiency in the performance of molecular testing techniques (PCR, real-time PCR, etc.) is highly desirable Experience in immunology, microbiology or related fields is preferred Demonstrated understanding of a disease with complex treatment algorithms highly desired Growth: CLS, I: Fully meets the qualifications listed above in addition to the following: 0-2 years of licensed clinical laboratory experience. CLS, II: Fully meets the qualifications listed above in addition to the following: 3-5 years of licensed clinical laboratory experience. CLS, III: Fully meets the qualifications listed above in addition to the following: 6 + years of licensed experience Lead: Fully meets qualification section of this description in addition to the following: Must have a minimum of 2 years of licensed clinical laboratory experience Knowledge of workflow timing and efficiency Strong communication with the Lab Leadership team including other leads, supervisors, managers, and director. Supervisor: Fully meets the qualification section of this description in addition to the following: Meet requirements of Lead role described above.    Must have at least 3 + years of licensed experience. 1-2 years of leadership experience preferred. Additional Details: Every individual at CareDx has a direct impact on our collective mission to improve the lives of organ transplant patients worldwide. We believe in taking great care of our people, so they take even greater care of our patients. Our competitive Total Rewards package for US Employees includes: Competitive base salary and incentive compensation Health and welfare benefits, including a gym reimbursement program 401(k) savings plan match Employee Stock Purchase Plan Pre-tax commuter benefits And more! Please refer to our page to view detailed benefits at https://caredx.com/company/careers/ In addition, we have a Living Donor Employee Recovery Policy that allows up to 30 days of paid leave annually to a full-time employee who makes the selfless act of donating an organ or bone marrow. With products that are making a difference in the lives of transplant patients today and a promising pipeline for the future, it’s an exciting time to be part of the CareDx team. Join us in partnering with transplant patients to transform our future together. CareDx, Inc. is an Equal Opportunity Employer and participates in the E-Verify program. By proceeding with our application and submitting your information, you acknowledge that you have read our U. S. Personnel Privacy Notice and consent to receive email communication from CareDx. ***We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.*** Certain jurisdictions require notice of how we use and protect your personal information. For more information, please read our Privacy Policy. This is the anticipated base salary range for candidates who will work in Brisbane, California. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, the type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. CareDx is a multi-state employer, and this salary range may not reflect positions that work in other states. San Francisco Bay Area Roles: $55—$65 USD", "summaryDescription" : "Clinical Lab Scientist at CareDx, Inc.. Skills: Clinical laboratory science, Molecular testing, Quality control. Handle and process patient samples. Analyze test results", "postedDate" : "2026-06-14T08:24:47.435", "createdAt" : "2026-06-14T08:24:47.435", "lastUpdated" : "2026-06-15T14:01:10.369", "ingestTimestamp" : "2026-06-14T08:24:47.435", "mongoId" : "6a2c90fc74d8ee00a0981af3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 65000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Molecular testing", "Laboratory testing", "Data analysis", "Clinical laboratory science", "Quality control", "Test analysis", "Quality assurance", "Troubleshooting", "Process correction", "Procedure development", "Proficiency testing", "Patient sample handling", "CLIA-certified laboratory", "Genomics", "Precision medicine", "Transplant patient care", "California Clinical Laboratory Scientist (CLS) license", "Microsoft Office", "Outlook", "Word", "Excel", "PowerPoint", "LIMS" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a6af292fd229cf50547", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and company size." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T11:05:30.121", "fingerprint" : "8e027fce54abc926a9eebea78a61fc140b324b454e895a1c094d41cc76a8efd9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008494&gh_jid=8008494", "externalId" : "8008494", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "technicalSkills" : "Python, SQL, Spark, AWS, GCP, Azure, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, SageMaker, Vertex AI, ML Studio, S3, Glue, Athena, Synapse", "professionalSkills" : [ "Data engineering", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Machine learning", "Deep learning", "Data modeling", "Data warehousing", "ETL development", "Data pipeline", "Data visualization", "Experiment design", "A/B testing", "Causal inference" ], "hardSkillsList" : [ "Statistical analysis", "Regression analysis", "Classification models", "Clustering algorithms", "Time-series forecasting", "Experimentation design", "Causal inference methods", "Model deployment", "Model monitoring", "Data wrangling", "Feature engineering", "Algorithm development" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification models", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "Experimentation design", "level" : "intermediate" }, { "name" : "Causal inference methods", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Data wrangling", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering, AI", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering", "AI" ], "coreResponsibilities" : "Build and deploy machine learning models, Develop and maintain data pipelines, Design and implement data solutions, Conduct data analysis, Perform statistical modeling, Develop ML models, Deploy ML models, Monitor ML models, Collaborate with engineering teams, Collaborate with product teams, Drive data science initiatives, Contribute to data strategy, Build agent models, Develop AI agents", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams", "toolProficiency" : [ "Python", "SQL", "Spark", "AWS", "GCP", "Azure", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "SageMaker", "Vertex AI", "ML Studio", "S3", "Glue", "Athena", "Synapse" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data-driven decision making", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €80.400—€127.200 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic. Skills: Data science, Machine learning, Data engineering, AI. Build and deploy machine learning models. Develop and maintain data pipelines", "postedDate" : "2026-06-15T23:22:17.099", "createdAt" : "2026-06-15T23:22:17.099", "lastUpdated" : "2026-06-16T11:05:30.121", "ingestTimestamp" : "2026-06-15T23:22:17.099", "mongoId" : "6a305a6af292fd229cf50547", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Regression analysis", "Classification models", "Clustering algorithms", "Time-series forecasting", "Experimentation design", "Causal inference methods", "Model deployment", "Model monitoring", "Data wrangling", "Feature engineering", "Algorithm development", "Data science", "Machine learning", "Data engineering", "AI", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Deep learning", "Data modeling", "Data warehousing", "ETL development", "Data pipeline", "Data visualization", "Experiment design", "A/B testing", "Causal inference", "Python", "SQL", "Spark", "AWS", "GCP", "Azure", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "SageMaker", "Vertex AI", "ML Studio", "S3", "Glue", "Athena", "Synapse" ], "skillCount" : 58, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8d9f74d8ee00a0979794", "title" : "Clinical Scientist 2, Clinical Development", "company" : "Xenon Pharmaceuticals", "industry" : "Clinical Development", "salary" : { "min" : 107900.0, "max" : 129500.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Vancouver", "locations" : [ "Vancouver" ], "timestamp" : "2026-06-15T07:05:27.993", "fingerprint" : "15b2fcba590a4e383203c188f6f6a238bd49c20f734ca3e846308e5c3619932a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/xenon/4477d3b8-ae2f-4377-85d1-0efa5dbe3f1f/application", "externalId" : "4477d3b8-ae2f-4377-85d1-0efa5dbe3f1f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Program strategy", "Study design", "Data interpretation", "Scientific leadership", "Clinical development planning", "Study execution", "Study documentation", "Regulatory submissions", "Scientific interactions" ], "hardSkillsList" : [ "Pharmacology", "Biomedical sciences", "Life sciences", "Clinical data review", "Clinical data interpretation", "Protocol development", "Endpoint strategy" ], "hardSkills" : [ { "name" : "Pharmacology", "level" : "intermediate" }, { "name" : "Biomedical sciences", "level" : "intermediate" }, { "name" : "Life sciences", "level" : "intermediate" }, { "name" : "Clinical data review", "level" : "intermediate" }, { "name" : "Clinical data interpretation", "level" : "intermediate" }, { "name" : "Protocol development", "level" : "intermediate" }, { "name" : "Endpoint strategy", "level" : "intermediate" } ], "majorSkills" : "Clinical development, Drug discovery, Neuroscience, Clinical trials", "majorSkillsList" : [ "Clinical development", "Drug discovery", "Neuroscience", "Clinical trials" ], "coreResponsibilities" : "Provide scientific leadership, Contribute to study design, Contribute to protocol development, Contribute to endpoint strategy, Contribute to clinical development planning, Support development of clinical trials, Support implementation of clinical trials, Support conduct of clinical trials, Support oversight of clinical trials, Support reporting of clinical trials, Perform literature reviews, Maintain knowledge of disease areas, Maintain knowledge of competitive landscape, Maintain knowledge of emerging science, Maintain knowledge of regulatory developments, Participate in review of safety data, Participate in review of efficacy data, Participate in review of pharmacokinetic data, Participate in review of patient-reported outcome data, Participate in review of other clinical data, Collaborate cross-functionally, Draft clinical documents, Review clinical documents, Contribute to clinical documents, Draft regulatory documents, Review regulatory documents, Contribute to regulatory documents, Support scientific interactions with CROs, Support scientific interactions with investigators, Support scientific interactions with site personnel, Support scientific interactions with external collaborators, Contribute to investigator identification, Contribute to site feasibility, Contribute to study start-up", "teamCollaboration" : "Cross-functional teams; External collaborators; CROs; Investigators; Site personnel", "domainKnowledge" : "Neuroscience; Ion channel biology; Epilepsy; Depression; Pain; Focal onset seizures; Major depressive disorder; Bipolar depression; Nav1.7; Kv7; Human genetics", "domainList" : [ "neuroscience", "ion-channel-biology", "epilepsy", "depression", "pain", "focal-onset-seizures", "major-depressive-disorder", "bipolar-depression", "nav1-7", "kv7", "human-genetics" ], "domainSpecificKnowledge" : [ "Neuroscience", "Ion channel biology", "Epilepsy", "Depression", "Pain", "Focal onset seizures", "Major depressive disorder", "Bipolar depression", "Nav1.7", "Kv7", "Human genetics" ], "communicationSkills" : "Effective communication; Scientific communication; Operational communication", "documentationSkills" : "Study protocols; Investigator brochures; Clinical study reports; Health authority submissions; Briefing materials; Abstracts; Posters; Manuscripts", "continuousLearning" : "Training; Learning; Development program; Tuition assistance", "problemSolvingSkills" : "Solve problems", "qualificationsBasic" : "MSc or PhD degree, 2-5 years experience, Experience in clinical research, Experience drafting documentation, Working knowledge of GCP, Working knowledge of ICH guidelines, Familiarity with FDA environments, Familiarity with EMA environments, Written skills, Verbal skills, Interpersonal skills, Presentation skills, Organizational skills, Ability to work independently", "qualificationsPreferred" : "Experience in neurosciences, Experience in neuroscience, Experience in CNS, Experience in psychiatry, Experience in neurology, Demonstrated ability to analyze, Experience working with investigators, Experience working with CROs, Experience working with vendors, Experience working with external scientific experts", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who We Are: Xenon Pharmaceuticals (NASDAQ:XENE https://www.nasdaq.com/market-activity/stocks/xene) is a neuroscience-focused biopharmaceutical company dedicated to drug discovery, clinical development, and commercialization of life-changing therapeutics for patients in need. We are looking for great people who thrive in a respectful, collaborative, inclusive, and productive culture to join the Xenon team. What We Do: We are advancing an exciting product pipeline https://xenon-pharma.com/pipeline to address indications with high unmet medical need, including epilepsy, depression and pain. Our Phase 3 azetukalner program represents the most advanced, clinically validated potassium channel modulator in late-stage clinical development for multiple indications. In March 2026, we announced positive topline data from our Phase 3 X-TOLE2 study of azetukalner in focal onset seizures (FOS), and we anticipate submitting a New Drug Application to the Food and Drug Administration in the third quarter of 2026. Our Phase 3 epilepsy program also includes a second FOS study, X-TOLE3, which would support regulatory submissions outside the U.S., and the X-ACKT study in primary generalized tonic-clonic seizures, which would support regulatory submissions for an additional epilepsy indication. We also have multiple Phase 3 azetukalner clinical trials underway in major depressive disorder (MDD) and bipolar depression (BPD), based on topline data from our Phase 2 X-NOVA clinical trial. In addition, we are proud of our strong heritage in human genetics, deep understanding of ion channel biology, and expertise in novel chemistries to enable potent, selective ion channel targeting. We continue to advance an early-stage pipeline of novel therapeutic candidates, including Phase 1 studies for XEN1701 (targeting Nav1.7) and XEN1120 (targeting Kv7), which are important pain targets. Backed by a strong balance sheet to support our growth plans, we continue to build a fully integrated, premier neuroscience company with strong discovery, clinical development, corporate, and commercial operations. About the Role: We are seeking a Clinical Scientist 2, Clinical Development, to join our Clinical Development team. This role is intended for an experienced clinical scientist who can independently contribute to the design, execution, analysis, interpretation, and communication of clinical development activities across assigned programs. The clinical scientist will provide scientific leadership at the study level, contribute meaningfully to program strategy, and serve as a key partner to cross-functional teams to ensure that clinical development plans, study designs, and data packages are scientifically rigorous, operationally feasible, and aligned with evolving regulatory expectations. This position reports to the Senior Medical Director, Clinical Development, and will be based out of our Vancouver, BC office. We may consider remote locations for exceptional candidates. The level of the position will be commensurate with the candidate’s education and industry experience. This is a Hybrid position requiring a minimum of two onsite days per week. Your duties and responsibilities in this position will include those listed below: - Provide scientific leadership and independent contribution to study design, protocol development, endpoint strategy, and clinical development planning for assigned programs. - Support the development, implementation, conduct, oversight, and reporting of clinical trials, ensuring scientific quality and alignment with program objectives. - Perform comprehensive literature reviews and maintain current knowledge of disease areas, competitive landscape, emerging science, and regulatory developments relevant to assigned products and indications. - Participate in the review, monitoring, summarization, and interpretation of safety, efficacy, pharmacokinetic, patient-reported outcome, and other clinical data to support development decisions and recommendations. - Collaborate cross-functionally with Clinical Operations, Biometrics/Biostatistics, Data Management, Pharmacovigilance, Medical Writing, Regulatory, Translational Development, Medical Affairs, and other partners to support high-quality study execution and documentation. - Draft, review, and contribute to clinical and regulatory documents, including study protocols, synopses, investigator brochures, clinical study reports, health authority submission content, briefing materials, abstracts, posters, and manuscripts. - Support or lead scientific interactions with CROs, investigators, site personnel, and external collaborators to ensure consistency, scientific integrity, and effective study execution. - Contribute to investigator identification, site feasibility, study start-up, and scientific training activities for study teams, CROs, investigators, and site personnel. - Develop and maintain productive relationships with external scientific experts, key opinion leaders, and the broader medical community in alignment with development goals. - Provide critical evaluation of development strategies, identify scientific and operational risks, and help develop contingency and mitigation plans. - Contribute to advisory boards, expert meetings, and other scientific interactions that support program development and evidence generation. - Support the development of departmental processes, templates, standard operating procedures, and best practices as needed. - Development of standard operating procedures (SOPs) and guidelines linked with departmental activities. - Act in accordance with Company policies, including, for example, the Code of Business Conduct and Ethics and ensure policies are understood and followed by direct reports, if any. Other duties as assigned. QUALIFICATIONS: - MSc or PhD degree in Life Sciences, Biomedical Sciences, Pharmacology [PG1] or other professional doctorate in pharmaceutical sciences or a related scientific discipline. - A Scientist 2 will have at least 2-5 years of post-doctoral experience and/or relevant industry experience, preferably in neurosciences. - Experience in clinical research and clinical development with a strong understanding of study design, study conduct, clinical data review, and interpretation. - Experience drafting, reviewing, or supporting clinical and regulatory documentation and working effectively in cross-functional teams. - Working knowledge of GCP, ICH guidelines, and regulatory expectations, including familiarity with FDA and EMA environments. - Strong written, verbal, interpersonal, and presentation skills, with the ability to communicate effectively to scientific and operational audiences. - Strong organizational skills, attention to detail, and the ability to work independently while contributing effectively in a team environment. - Experience in neuroscience, CNS, psychiatry, neurology, or related therapeutic areas is preferred. - Demonstrated ability to analyze complex scientific information, generate sound recommendations, and solve problems in a dynamic development environment. - Experience working with investigators, CROs, vendors, and external scientific experts is preferred. Our Total Rewards program includes base salary, target bonus, and stock options, as well as a full range of benefits including medical, dental, vision, short-& long-term disability, accidental death & dismemberment, and life insurance programs, Employee Assistance Program, travel insurance, and retirement savings programs with company matching contributions. Xenon encourages time to rest and re-charge through vacation, personal days, sick days, and an end-of-year company shutdown. Xenon highly values employee development and has an expanding Training, Learning & Development program, including a Tuition Assistance program for advanced degrees.", "summaryDescription" : "Clinical Scientist 2, Clinical Development at Xenon Pharmaceuticals. Skills: Clinical development, Drug discovery, Neuroscience, Clinical trials. Provide scientific leadership. Contribute to study design", "createdAt" : "2026-06-14T09:10:25.004", "lastUpdated" : "2026-06-15T07:05:27.993", "ingestTimestamp" : "2026-06-14T09:10:25.004", "mongoId" : "6a2c8d9f74d8ee00a0979794", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Pharmacology", "Biomedical sciences", "Life sciences", "Clinical data review", "Clinical data interpretation", "Protocol development", "Endpoint strategy", "Clinical development", "Drug discovery", "Neuroscience", "Clinical trials", "Program strategy", "Study design", "Data interpretation", "Scientific leadership", "Clinical development planning", "Study execution", "Study documentation", "Regulatory submissions", "Scientific interactions", "Ion channel biology", "Epilepsy", "Depression", "Pain", "Focal onset seizures", "Major depressive disorder", "Bipolar depression", "Nav1.7", "Kv7", "Human genetics" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "69fc49814c40e2acd1a81e90", "title" : "Clinical Laboratory Scientist", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 78000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Clinical Laboratory Scientist in Corona, California, adjusted for the healthcare industry and company size." }, "location" : "United States-California-Corona", "locations" : [ "United States-California-Corona", "Clinical Laboratory/Pathology", "Onsite, Days, Days" ], "timestamp" : "2026-06-15T10:19:54.857", "fingerprint" : "22ce62c07fa4c19b285d73eb4ba365c0536cd03fc693b2f9d2bab10f14630a60", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=238265", "externalId" : "238265", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Corona", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.8752945,-117.5664440" } ], "locationText" : "Corona, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's Degree", "professionalSkills" : [ "Laboratory analysis", "Laboratory practices", "Laboratory procedures" ], "hardSkillsList" : [ "Point-of-care testing", "Specimen preparation", "Waived complexity testing", "Moderate complexity testing", "High complexity testing" ], "hardSkills" : [ { "name" : "Point-of-care testing", "level" : "intermediate" }, { "name" : "Specimen preparation", "level" : "intermediate" }, { "name" : "Waived complexity testing", "level" : "intermediate" }, { "name" : "Moderate complexity testing", "level" : "intermediate" }, { "name" : "High complexity testing", "level" : "intermediate" } ], "majorSkills" : "Laboratory procedures, Regulatory compliance", "majorSkillsList" : [ "Laboratory procedures", "Regulatory compliance" ], "coreResponsibilities" : "Perform point-of-care testing, Prepare clinical specimens for analysis, Conduct laboratory procedures, Report laboratory procedures, Ensure testing activities comply, Support training of staff, Support mentorship of staff, Work under Laboratory Director authorization, Comply with CLIA regulations", "teamCollaboration" : "Staff training and mentorship", "domainKnowledge" : "FACT; AABB; ACHI; CAP; FDA; Joint Commission; CLIA regulations", "domainList" : [ "fact", "aabb", "achi", "cap", "fda", "joint-commission", "clia-regulations" ], "domainSpecificKnowledge" : [ "FACT", "AABB", "ACHI", "CAP", "FDA", "Joint Commission", "CLIA regulations" ], "documentationSkills" : "Standard operating procedures", "qualificationsBasic" : "Perform point-of-care testing, Prepare clinical specimens, Conduct laboratory procedures, Report laboratory procedures, Comply with SOPs, Comply with regulatory standards, Support staff training, Support staff mentorship, Work under Laboratory Director", "qualificationsPreferred" : "Training and education of staff", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the transformative team at City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } This full-time role is based in Corona, California and follows a Monday through Friday schedule from 8:00 AM to 4:30 PM. The position is responsible for performing point-of-care testing, preparing clinical specimens for analysis, and conducting as well as reporting waived, moderate, and high-complexity laboratory procedures. All work is carried out in strict compliance with established standard operating procedures and regulatory requirements, including FACT, AABB, ACHI, CAP, FDA, and Joint Commission standards. The role also supports the training and education of staff in laboratory practices and operates under the direction of the Laboratory Director in accordance with Clinical Laboratory Improvement Amendments (CLIA) regulations, CFR Section 493.1445(a). As a successful candidate, you will: a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Perform point-of-care testing and prepare clinical specimens for accurate laboratory analysis Conduct and report waived, moderate, and high-complexity laboratory procedures in accordance with established protocols Ensure all testing activities comply with SOPs and regulatory standards including FACT, AABB, ACHI, CAP, FDA, and Joint Commission Support training and mentorship of staff in laboratory procedures and best practices Work under the authorization of the Laboratory Director in compliance with CLIA regulations (CFR Section 493.1445(a)) Perform other duties as assigned Your qualifications should include: Bachelor’s Degree Clinical Laboratory Scientist Generalist License BLS Certification through the American Heart Association City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Corona", "summaryDescription" : "Clinical Laboratory Scientist at City of Hope. Skills: Laboratory procedures, Regulatory compliance. Perform point-of-care testing. Prepare clinical specimens for analysis", "createdAt" : "2026-06-14T09:46:38.385", "lastUpdated" : "2026-06-15T10:19:54.857", "ingestTimestamp" : "2026-06-14T09:46:38.385", "mongoId" : "69fc49814c40e2acd1a81e90", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 78000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Point-of-care testing", "Specimen preparation", "Waived complexity testing", "Moderate complexity testing", "High complexity testing", "Laboratory procedures", "Regulatory compliance", "Laboratory analysis", "Laboratory practices", "FACT", "AABB", "ACHI", "CAP", "FDA", "Joint Commission", "CLIA regulations" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a6af292fd229cf5054e", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T08:10:42.353", "fingerprint" : "e40db0762c43f936f11de5b8d1eb6f4b99a6c75a4a4443d9c56580ffb77bbe8e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008502&gh_jid=8008502", "externalId" : "8008502", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €73.300—€115.900 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:26:19.410", "createdAt" : "2026-06-15T23:26:19.410", "lastUpdated" : "2026-06-16T08:10:42.353", "ingestTimestamp" : "2026-06-15T23:26:19.410", "mongoId" : "6a305a6af292fd229cf5054e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf5054a", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T07:36:20.025", "fingerprint" : "42b69b81ccf5dedf71320a5bc295c55ce32b7b0ec8e693c0f0fd92c726510c75", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008503&gh_jid=8008503", "externalId" : "8008503", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €67.000—€106.000 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:25:21.410", "createdAt" : "2026-06-15T23:25:21.410", "lastUpdated" : "2026-06-16T07:36:20.025", "ingestTimestamp" : "2026-06-15T23:25:21.410", "mongoId" : "6a305a6af292fd229cf5054a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf5054c", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T07:17:32.597", "fingerprint" : "83fb6be16f038229467f7084b3e657227affb388d25a5b5e6bd0376be1f2d78f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008504&gh_jid=8008504", "externalId" : "8008504", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 831 700 kr—1 315 600 kr SEK Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:24:36.526", "createdAt" : "2026-06-15T23:24:36.526", "lastUpdated" : "2026-06-16T07:17:32.597", "ingestTimestamp" : "2026-06-15T23:24:36.526", "mongoId" : "6a305a6af292fd229cf5054c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a6af292fd229cf5054b", "title" : "Principal Data Scientist - Agent Builder", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 215000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Principal Data Scientist in the Technology industry in the Netherlands, adjusted for executive seniority and full-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T10:08:58.213", "fingerprint" : "6c178ddd639013f96ee2ba83d5834512f7afcf12c54c3c726385d95d5fe35e21", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=8008495&gh_jid=8008495", "externalId" : "8008495", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "remoteFriendly" : true, "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Conversational Experiences team builds Elastic’s new conversational and agentic platform that lets customers chat with their own data in Elasticsearch. We build the core quality layer for RAG, agents and tools, retrieval and citations, streaming, memory, and the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Principal Data Scientist, you will help set the technical direction for how we evaluate, improve, and scale chat quality across Elastic’s agentic platform. You will define the evaluation strategy that guides product decisions, including which models we standardize on, how we route requests across agents, which tools we enable and when, and how we tailor agents to different Elastic use cases in search and beyond. You will work closely with backend engineering, product, UX, and other data scientists to turn ambiguous, cutting-edge problems into measurable product improvements. You’ll help lead work on frontier problems such as folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to improve groundedness, shaping reasoning strategies and tool-selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality where it can create meaningful user value. This is an applied leadership role: you will prototype, evaluate, influence roadmap direction, and help teams ship improvements that customers can feel. What You Will Be Doing Define the evaluation strategy for conversational and agentic search, including offline and online evaluation, golden datasets, rubrics, LLM-as-judge calibration, groundedness and citation checks, and A/B testing. Lead the design of quality metrics and decision frameworks for RAG, agents, tools, model selection, agent routing, prompt behavior, and cost/latency trade-offs. Build, compare, and guide improvements across retrieval and re-ranking approaches, including sparse and dense retrieval, vector search, query understanding, semantic rewrites, and context enrichment. Turn experimental results into product and business decisions: which models to use, how to route requests efficiently, which tools should be exposed, and how agents should be customized for different Elastic use cases. Partner with engineering to productionize evaluation pipelines, telemetry, dashboards, CI guardrails, and regression detection for chat quality, helpfulness, dedication, latency, and cost. Influence the roadmap by identifying the highest-leverage quality gaps, proposing practical solutions, and communicating trade-offs clearly to product, engineering, and leadership. Mentor other data scientists and engineers in experiment design, evaluation methodology, statistical rigor, and practical approaches to improving LLM-powered systems. Share outcomes through clear docs, notebooks, PRs, dashboards, technical proposals, and cross-functional reviews. What You Bring 8+ years of applied DS/ML experience, with deep expertise in IR, NLP, ranking, semantic search, RAG, or LLM-powered product experiences. Strong track record defining and leading evaluation for production AI/ML systems, including offline metrics, online experimentation, LLM-as-judge approaches, groundedness, citation quality, and model comparison. Experience influencing product and technical strategy through data, especially in ambiguous or emerging domains where the “right” metric or approach is not obvious at the start. Hands-on ability with Python, PyTorch/Transformers, Pandas, notebooks, reproducible experiments, versioned datasets, and clean, reviewable code. Strong understanding of retrieval systems, including dense and sparse retrieval, re-ranking, vector search, query understanding, and evaluation metrics such as nDCG, MRR, Recall@k, precision,and latency/cost trade-offs. Experience collaborating closely with engineering teams to move from prototype to production, including telemetry design, dashboards, CI guardrails, and quality regression tracking. Practical Elasticsearch experience, or experience with similar search and distributed data systems. ES|QL familiarity is a plus. Excellent written and verbal communication, with the ability to explain complex scientific and technical trade-offs to engineering, product, design, and leadership audiences. A collaborative, low-ego style and a strong ability to mentor, raise standards, and develop transparency for others in a distributed team. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €102.700—€162.500 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Data Scientist - Agent Builder at Elastic", "postedDate" : "2026-06-15T23:23:07.738", "createdAt" : "2026-06-15T23:23:07.738", "lastUpdated" : "2026-06-16T10:08:58.213", "ingestTimestamp" : "2026-06-15T23:23:07.738", "mongoId" : "6a305a6af292fd229cf5054b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7f7374d8ee00a09556aa", "title" : "Clinical Lab Scientist", "company" : "Veracyte", "industry" : "Healthcare", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Mid-level Clinical Lab Scientist in San Diego, California, adjusted for the biotech industry and company size." }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "certifications" : [ "California Department of Public Health Clinical Laboratory Scientist (CLS) license", "Clinical Genetic Molecular Biology Scientist (CGMBS) license" ], "timestamp" : "2026-06-15T11:21:18.992", "fingerprint" : "6142bfaf8a9b257f449005fde896e91e9e2408af06132b844537d21be361495d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://veracyte.com/job-detail?gh_jid=5152329007", "externalId" : "5152329007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "technicalSkills" : "Molecular genetic testing, PCR, Microarray, Sanger sequencing, NGS sequencing", "professionalSkills" : [ "Test performance troubleshooting", "Corrective action documentation" ], "hardSkillsList" : [ "Clinical laboratory testing", "Quality control", "Quality assurance", "Proficiency testing", "Reagent preparation" ], "hardSkills" : [ { "name" : "Clinical laboratory testing", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Proficiency testing", "level" : "intermediate" }, { "name" : "Reagent preparation", "level" : "intermediate" } ], "majorSkills" : "Molecular genetic testing, Clinical laboratory testing, Quality assurance", "majorSkillsList" : [ "Molecular genetic testing", "Clinical laboratory testing", "Quality assurance" ], "coreResponsibilities" : "Perform molecular genetic testing, Follow standard operating procedures, Perform quality control, Review quality control, Document quality control, Complete laboratory tasks, Complete non-laboratory tasks, Prepare reagents, Engage in training, Perform proficiency testing, Identify basic issues, Troubleshoot basic issues, Document corrective actions, Follow safety procedures, Report quality concerns, Report safety concerns, Perform site specific duties", "teamCollaboration" : "Work cooperatively in team; Support laboratory staff; Support management staff", "domainKnowledge" : "Cancer care; Molecular diagnostics; Clinical laboratory regulations", "domainList" : [ "cancer-care", "molecular-diagnostics", "clinical-laboratory-regulations" ], "domainSpecificKnowledge" : [ "Cancer care", "Molecular diagnostics", "Clinical laboratory regulations" ], "communicationSkills" : "Verbal communication; Written communication; Interpersonal communication", "documentationSkills" : "Document patient results; Document quality control; Document corrective actions", "continuousLearning" : "Continuing education units", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Troubleshoot basic issues", "specialRequirements" : "Repetitive hand movement, Repetitive arm movement, Repetitive leg movement, Repetitive finger movement, Gripping/grasping, Reaching above shoulder, Reaching below shoulder, Sitting, Occasional walking, Occasional standing, Occasional stooping, Occasional moving about, Lift up to 25 pounds", "qualificationsBasic" : "California CLS license, CGMBS license, High complexity testing experience, Analytical skills, Problem-solving skills, Detail-oriented, Comfortable with technology, Excellent verbal communication, Excellent written communication, Computer skills, Interpersonal communication skills, Team player attitude, Adapt to change, Adapt to rapid work pace", "qualificationsPreferred" : "Molecular diagnostics experience, Molecular testing experience, PCR experience, Microarray experience, Sanger sequencing experience, NGS sequencing experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We pursue bold ideas, embrace complexity, and keep pushing forward. We Make It Happen: We act with urgency, deliver with excellence, and always find a way. We Are Stronger Together: We engage with empathy, align around what's best for Veracyte, and celebrate as one team. We Care Deeply: We show up with integrity, kindness, and respect for one another. The Position: The Clinical Laboratory Scientist (CLS) is responsible for performing high complexity clinical laboratory testing on patient specimens, reviewing and reporting patient results, performing quality control and quality assurance activities, and complying with all applicable local, state and federal laboratory, quality, and safety requirements. The high complexity nature of the work requires excellent attention to detail, effective written and verbal communication skills, the ability to multitask and be flexible with tasks and schedules, and the ability to work independently and effectively in a team environment. ESSENTIAL DUTIES AND RESPONSIBILITIES: The main duties and responsibilities of the Clinical Laboratory Scientist include the following, but not limited to: Perform molecular genetic testing on clinical specimens Follow the laboratory's standard operating procedures for specimen handling, processing, test analyses, and recording of test results Perform, review and document laboratory quality control procedures in accordance with the Quality Assurance Program Complete assigned laboratory and non-laboratory tasks Prepare reagents required for laboratory testing Engage in training Perform proficiency testing for the clinical tests Assist in research and validation activities Independently identify and troubleshoot basic issues that could potentially adversely affect test performance Document all corrective actions taken when test systems deviate from the laboratory's established performance specifications Follow the laboratory’s standard operating procedures for quality and environmental health and safety and report all concerns of test quality and/or safety to the Lab Supervisor or Safety Officer Ensure all work is performed in accordance with local, state, and federal regulations and participate in all regulatory inspections Work cooperatively in a team environment support fellow laboratory and management staff Perform any other site/lab specific duties as assigned Who You Are: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. EDUCATION and/or EXPERIENCE Active California Department of Public Health Clinical Laboratory Scientist (CLS) license or Clinical Genetic Molecular Biology Scientist (CGMBS) license (no exceptions) Experience in high complexity clinical laboratory testing, preferably in molecular diagnostics Performance of molecular testing (PCR, Microarray, Sanger/NGS sequencing) a plus Must have strong analytical and problem-solving skills Must be detail-oriented and comfortable with technology Must have excellent verbal and written communication skills Strong computer skills across diverse platforms Excellent interpersonal communication and team player attitude Ability to adapt to change and a rapid work pace Maintains continuing education units required by California Department of Health Services and New York State Department of Health. PHYSICAL REQUIREMENTS Repetitive movement of hands, arms and leg, fingers (typing and/or writing) Gripping/grasping Reaching above/below shoulder level Sitting, with occasional walking, standing, stooping and moving about Exposure to general office environment conditions Occasionally required to lift up to 25 pounds Location: This is an onsite position based in our San Diego, CA office. Schedule: Sunday - Thursday, 12:30pm - 9:00pm. This shift is eligible for differential pay. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range $46—$50 USD What We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit www.veracyte.com or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to careers@veracyte.com", "summaryDescription" : "Clinical Lab Scientist at Veracyte. Skills: Molecular genetic testing, Clinical laboratory testing, Quality assurance. Perform molecular genetic testing. 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background, Strategy background, Consulting background, RevOps background, Finance background, Structured thinking, Practical execution, Cross-functional collaboration, Stakeholder management, Improving business processes, Building business processes, Analytical mindset, High ownership mindset, Ability to design solutions, Ability to execute solutions", "qualificationsPreferred" : "Experience in high-growth environments, Scaling businesses experience, Familiarity with enterprise workflows, Familiarity with CRM systems, Familiarity with quote-to-cash processes, Familiarity with commercial operations, Exposure to AI tools, Exposure to automation, Exposure to systems design thinking, Experience with insurance, Experience with enterprise SaaS, Experience with AI-enabled business transformation", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Own and coordinate complex enterprise deals across the full lifecycle, from pricing and contracting through customer handoff and onboarding. Partner with Sales, Legal, Finance, and Customer Success to improve operational efficiency, streamline workflows, and ensure execution quality. Design, refine, and govern key commercial processes including pricing frameworks, approvals, contract execution, and exception management. Identify and resolve operational bottlenecks across go-to-market and revenue operations to improve scalability and cycle time. Build and implement AI-driven workflows and automation systems to reduce manual effort and enhance operational decision-making. Develop agentic and automated solutions for pricing analysis, workflow routing, contract generation, and operational monitoring. Lead cross-functional initiatives spanning pricing strategy, customer lifecycle optimization, onboarding, and operational readiness. Define KPIs, improve reporting frameworks, and support data-driven decision-making across business operations. Drive continuous process improvement by transforming static workflows into scalable, adaptive systems. Support special projects at the intersection of strategy, operations, and execution as business needs evolve. Requirements: Strong background in business operations, strategy, consulting, RevOps, finance, or similar cross-functional roles. Proven ability to solve ambiguous, complex business problems with structured thinking and practical execution. Experience working in high-growth environments, ideally scaling businesses in the ~$40M–$100M ARR range. Strong cross-functional collaboration and stakeholder management skills across technical and business teams. Hands-on experience improving or building business processes such as pricing, contracting, or go-to-market operations. Familiarity with enterprise workflows such as CRM systems, quote-to-cash processes, or commercial operations (preferred). Strong analytical mindset with the ability to translate data into actionable business decisions. Exposure to AI tools, automation, or systems design thinking is a strong plus. High ownership mindset with the ability to both design and execute solutions independently. Bonus: experience with insurance, enterprise SaaS, or AI-enabled business transformation. Benefits: Competitive compensation aligned with experience and impact. Flexible remote-friendly work environment within Canada. Opportunity to work directly on high-impact strategic and operational initiatives. Exposure to cutting-edge AI and automation applied to real business systems. High autonomy with meaningful ownership of business outcomes. Fast-paced, high-growth environment with strong cross-functional collaboration. Career growth opportunities across strategy, operations, and leadership tracks. Work at the intersection of AI, business transformation, and scalable systems design. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Business Operations & Strategy Lead. Skills: Business operations, Strategy, Process improvement, Automation. Own enterprise deals. 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Pawtucket, Rhode Island, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Clinical development", "Study design", "Data interpretation", "Program strategy" ], "hardSkillsList" : [ "Scientific leadership", "Protocol development", "Endpoint strategy", "Clinical data review", "Statistical analysis" ], "hardSkills" : [ { "name" : "Scientific leadership", "level" : "intermediate" }, { "name" : "Protocol development", "level" : "intermediate" }, { "name" : "Endpoint strategy", "level" : "intermediate" }, { "name" : "Clinical data review", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Clinical development, Study design, Data interpretation", "majorSkillsList" : [ "Clinical development", "Study design", "Data interpretation" ], "coreResponsibilities" : "Provide scientific leadership, Contribute to study design, Contribute to protocol development, Contribute to endpoint strategy, Contribute to clinical development planning, Support development of clinical trials, Support implementation of clinical trials, Support conduct of clinical trials, Support oversight of clinical trials, Support reporting of clinical trials, Perform literature reviews, Maintain knowledge of disease areas, Maintain knowledge of competitive landscape, Maintain knowledge of emerging science, Maintain knowledge of regulatory developments, Participate in review of safety data, Participate in review of efficacy data, Participate in review of pharmacokinetic data, Participate in review of patient-reported outcome data, Collaborate cross-functionally, Draft clinical documents, Review clinical documents, Contribute to clinical documents, Draft regulatory documents, Review regulatory documents, Contribute to regulatory documents, Support scientific interactions with CROs, Lead scientific interactions with CROs, Support scientific interactions with investigators, Lead scientific interactions with investigators, Support scientific interactions with site personnel, Lead scientific interactions with site personnel, Support scientific interactions with external collaborators, Lead scientific interactions with external collaborators, Contribute to investigator identification, Contribute to site feasibility, Contribute to study start-up, Contribute to scientific training", "teamCollaboration" : "Cross-functional teams; Clinical Operations; Biostatistics; Data Management; Pharmacovigilance; Medical Writing; Regulatory; Translational Development; Medical Affairs", "domainKnowledge" : "Neuroscience; Ion channel biology; Epilepsy; Depression; Pain; Focal onset seizures; Major depressive disorder; Bipolar depression; Nav1.7; Kv7", "domainList" : [ "neuroscience", "ion-channel-biology", "epilepsy", "depression", "pain", "focal-onset-seizures", "major-depressive-disorder", "bipolar-depression", "nav1-7", "kv7" ], "domainSpecificKnowledge" : [ "Neuroscience", "Ion channel biology", "Epilepsy", "Depression", "Pain", "Focal onset seizures", "Major depressive disorder", "Bipolar depression", "Nav1.7", "Kv7" ], "communicationSkills" : "Written skills; Verbal skills; Interpersonal skills; Presentation skills", "documentationSkills" : "Study protocols; Investigator brochures; Clinical study reports; Health authority submissions; Briefing materials; Abstracts; Posters; Manuscripts", "continuousLearning" : "Training, Learning & Development program; Tuition Assistance program", "problemSolvingSkills" : "Analyze complex scientific information; Generate sound recommendations; Solve problems", "qualificationsBasic" : "MSc or PhD degree, 2-5 years post-doctoral experience, Experience in clinical research, Experience drafting clinical documents, Working knowledge of GCP, Working knowledge of ICH guidelines, Familiarity with FDA environments, Familiarity with EMA environments", "qualificationsPreferred" : "Relevant industry experience preferred, Neuroscience experience preferred, Experience in neuroscience preferred, Experience in CNS preferred, Experience in psychiatry preferred, Experience in neurology preferred, Experience with external scientific experts preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who We Are: Xenon Pharmaceuticals (NASDAQ:XENE https://www.nasdaq.com/market-activity/stocks/xene) is a neuroscience-focused biopharmaceutical company dedicated to drug discovery, clinical development, and commercialization of life-changing therapeutics for patients in need. We are looking for great people who thrive in a respectful, collaborative, inclusive, and productive culture to join the Xenon team. What We Do: We are advancing an exciting product pipeline https://xenon-pharma.com/pipeline to address indications with high unmet medical need, including epilepsy, depression and pain. Our Phase 3 azetukalner program represents the most advanced, clinically validated potassium channel modulator in late-stage clinical development for multiple indications. In March 2026, we announced positive topline data from our Phase 3 X-TOLE2 study of azetukalner in focal onset seizures (FOS), and we anticipate submitting a New Drug Application to the Food and Drug Administration in the third quarter of 2026. Our Phase 3 epilepsy program also includes a second FOS study, X-TOLE3, which would support regulatory submissions outside the U.S., and the X-ACKT study in primary generalized tonic-clonic seizures, which would support regulatory submissions for an additional epilepsy indication. We also have multiple Phase 3 azetukalner clinical trials underway in major depressive disorder (MDD) and bipolar depression (BPD), based on topline data from our Phase 2 X-NOVA clinical trial. In addition, we are proud of our strong heritage in human genetics, deep understanding of ion channel biology, and expertise in novel chemistries to enable potent, selective ion channel targeting. We continue to advance an early-stage pipeline of novel therapeutic candidates, including Phase 1 studies for XEN1701 (targeting Nav1.7) and XEN1120 (targeting Kv7), which are important pain targets. Backed by a strong balance sheet to support our growth plans, we continue to build a fully integrated, premier neuroscience company with strong discovery, clinical development, corporate, and commercial operations. About the Role: We are seeking a Clinical Scientist 2, Clinical Development, to join our Clinical Development team. This role is intended for an experienced clinical scientist who can independently contribute to the design, execution, analysis, interpretation, and communication of clinical development activities across assigned programs. The clinical scientist will provide scientific leadership at the study level, contribute meaningfully to program strategy, and serve as a key partner to cross-functional teams to ensure that clinical development plans, study designs, and data packages are scientifically rigorous, operationally feasible, and aligned with evolving regulatory expectations. This position reports to the Senior Medical Director, Clinical Development, and will be based out of Boston, MA, USA in our Needham office. The level of the position will be commensurate with the candidate’s education and industry experience. This is a Hybrid position requiring a minimum of two onsite days per week. Your duties and responsibilities in this position will include those listed below: - Provide scientific leadership and independent contribution to study design, protocol development, endpoint strategy, and clinical development planning for assigned programs. - Support the development, implementation, conduct, oversight, and reporting of clinical trials, ensuring scientific quality and alignment with program objectives. - Perform comprehensive literature reviews and maintain current knowledge of disease areas, competitive landscape, emerging science, and regulatory developments relevant to assigned products and indications. - Participate in the review, monitoring, summarization, and interpretation of safety, efficacy, pharmacokinetic, patient-reported outcome, and other clinical data to support development decisions and recommendations. - Collaborate cross-functionally with Clinical Operations, Biometrics/Biostatistics, Data Management, Pharmacovigilance, Medical Writing, Regulatory, Translational Development, Medical Affairs, and other partners to support high-quality study execution and documentation. - Draft, review, and contribute to clinical and regulatory documents, including study protocols, synopses, investigator brochures, clinical study reports, health authority submission content, briefing materials, abstracts, posters, and manuscripts. - Support or lead scientific interactions with CROs, investigators, site personnel, and external collaborators to ensure consistency, scientific integrity, and effective study execution. - Contribute to investigator identification, site feasibility, study start-up, and scientific training activities for study teams, CROs, investigators, and site personnel. - Develop and maintain productive relationships with external scientific experts, key opinion leaders, and the broader medical community in alignment with development goals. - Provide critical evaluation of development strategies, identify scientific and operational risks, and help develop contingency and mitigation plans. - Contribute to advisory boards, expert meetings, and other scientific interactions that support program development and evidence generation. - Support the development of departmental processes, templates, standard operating procedures, and best practices as needed. - Development of standard operating procedures (SOPs) and guidelines linked with departmental activities. - Act in accordance with Company policies, including, for example, the Code of Business Conduct and Ethics and ensure policies are understood and followed by direct reports, if any. - Other duties as assigned. QUALIFICATIONS: - MSc or PhD degree in Life Sciences, Biomedical Sciences, Pharmacology [PG1] or other professional doctorate in pharmaceutical sciences or a related scientific discipline. - A Scientist 2 will have at least 2-5 years of post-doctoral experience and/or relevant industry experience, preferably in neurosciences. - Experience in clinical research and clinical development with a strong understanding of study design, study conduct, clinical data review, and interpretation. - Experience drafting, reviewing, or supporting clinical and regulatory documentation and working effectively in cross-functional teams. - Working knowledge of GCP, ICH guidelines, and regulatory expectations, including familiarity with FDA and EMA environments. - Strong written, verbal, interpersonal, and presentation skills, with the ability to communicate effectively to scientific and operational audiences. - Strong organizational skills, attention to detail, and the ability to work independently while contributing effectively in a team environment. - Experience in neuroscience, CNS, psychiatry, neurology, or related therapeutic areas is preferred. - Demonstrated ability to analyze complex scientific information, generate sound recommendations, and solve problems in a dynamic development environment. - Experience working with investigators, CROs, vendors, and external scientific experts is preferred. Our Total Rewards program includes base salary, target bonus, and stock options, as well as a full range of benefits including medical, dental, vision, short-& long-term disability, accidental death & dismemberment, and life insurance programs, Employee Assistance Program, travel insurance, and retirement savings programs with company matching contributions. Xenon encourages time to rest and re-charge through vacation, personal days, sick days, and an end-of-year company shutdown. Xenon highly values employee development and has an expanding Training, Learning & Development program, including a Tuition Assistance program for advanced degrees.", "summaryDescription" : "Clinical Scientist 2, Clinical Development at Xenon Pharmaceuticals. Skills: Clinical development, Study design, Data interpretation. Provide scientific leadership. 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TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

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TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

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We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! What this job can offer you A senior IC role with real strategic influence — you'll work directly with the Senior Manager to shape how the Deal Desk operates and evolves The opportunity to lead cross-functional initiatives and drive meaningful process improvements across the Sales organization A clear path towards people management as the team matures A truly async, flexible work environment where ownership and proactivity are valued over process for its own sake What you bring 5+ years of experience in Deal Desk, Sales Operations, Revenue Operations, or a related function in an Enterprise SaaS/B2B company required; previous Lead or Supervisor experience is a plus A proven deal desk operator with a track record of handling complex, high-stakes situations across deal structure, pricing, and contract exceptions Strong understanding of Quote-to-Cash processes, revenue recognition principles, and order management Deep hands-on knowledge of Salesforce (SFDC) and CPQ systems, including troubleshooting and workflow optimization Natural relationship builder with the ability to engage, influence, and collaborate effectively with senior stakeholders across Go-to-Market, Legal, and Finance Data-driven and analytically sharp — you turn deal trends and operational signals into clear recommendations, not just observations Excellent communicator with outstanding written and spoken English Calm under pressure with strong prioritization instincts, able to keep the team unblocked during high-volume periods without dropping quality Self-starter who thrives in a fast-paced, fully remote, and globally distributed environment Demonstrates strong automation and AI capabilities It's not required to have experience working remotely, but considered a plus Key Responsibilities Act as the team's operational leader and the Senior Manager's closest extension — the go-to for escalations, the standard-setter for quality, and the primary mentor for Associates and Specialists Represent the Senior Manager in cross-functional forums with Sales VPs and Sales Leadership — aligning on Deal Desk priorities and surfacing team needs and blockers Serve as a senior point of contact and escalation for complex deals, non-standard pricing requests, and contract exceptions Oversee deal approval processes and pricing compliance, stepping in on escalations and exceptions that require senior judgment Ensure the team maintains SLA standards, stepping in to unblock or resolve complex or time-sensitive cases as needed Act as the eyes and ears of the Sales team — proactively identifying deal friction, recurring blockers, and emerging risks before they escalate Own the working relationship with Legal and Finance on behalf of the Senior Manager — aligning on policy, setting expectations, and ensuring the team has the guidance needed to handle non-standard situations independently Develop and maintain deal playbooks and sales enablement resources, ensuring the Sales team has the guidance they need before they need to ask Build and scale automated workflows that reduce manual effort and allow the team to focus on higher-value work Track Deal Desk performance metrics and deal trends, translating data into actionable recommendations and feeding directly into the Senior Manager's planning and prioritisation Act as the Senior Manager's operational extension — driving the Deal Desk improvement roadmap across processes, tooling, automation, and policy, and leading initiatives through to execution Support month-end and quarter-end close operations to ensure smooth and accurate deal execution Practicals You'll report to: Senior Manager, Deal Commercial Strategy & Operations Team: Revenue Operations — Sales Operations Location: For this position we welcome everyone to apply, but we will prioritise applications from EMEA and AMER as we encourage our teams to diversify Start date: As soon as possible Application process Roughly 6 hours across 3 weeks Interview with recruiter - 30 min Interview with Senior Manager, Deal Commercial Strategy and Operations - 45 min Interview with a cross-functional partner - 30 min (async) Deal Desk case study Case study presentation to Director, Pricing & GTM Finance and Senior Manager, Deal Commercial Strategy and Operations - 45 min Bar raiser interview - 30 min Prior employment verification check #LI_DNP Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change. At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis. The annual salary range for this full-time position is $48,000—$162,000 USD Benefits Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters: work from anywhere flexible paid time off flexible working hours (we are async) 16 weeks paid parental leave mental health support services stock options learning budget home office budget & IT equipment budget for local in-person social events or co-working spaces How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async. You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs. If that sounds like something you want, apply now! How to apply Please fill out the form below and upload your CV with a PDF format. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead. Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter. We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to. At Remote, we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here. Please note we accept applications on an ongoing basis.", "summaryDescription" : "Deal Commercial Strategy & Operations Lead at Remote. Skills: Process management, Cross-functional coordination, Vendor management, Stakeholder management. Manage operational processes. Coordinate cross-functionally", "postedDate" : "2026-06-16T03:17:27.037", "createdAt" : "2026-06-16T03:17:27.037", "lastUpdated" : "2026-06-16T12:10:11.339", "ingestTimestamp" : "2026-06-16T03:17:27.037", "mongoId" : "6a309d64f292fd229c103062", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Operational metrics", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30892ef292fd229c092f2d", "title" : "Lead ML Engineer / Scientist", "company" : "Wise", "industry" : "Financial Services", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead ML Engineer/Scientist in London, UK, adjusted for FinTech industry and company size." }, "location" : "London, United Kingdom", "locations" : [ "London", "United Kingdom" ], "timestamp" : "2026-06-16T12:14:58.962", "fingerprint" : "b8d6d5f114077409cb3c9bb8a3fee34d982d459be304927875eb8c45c3e3cf05", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Wise/744000132201859-lead-ml-engineer-scientist", "externalId" : "744000132201859", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Java, Terraform, AWS, Docker, GitHub CI/CD, Apache Spark, Iceberg, Kafka, Dbt, Scikit-Learn, XGBoost, PyTorch, MLFlow, GraphFrames, Ray, AWS S3, AWS EMR, AWS SageMaker, AWS Lakeformation, Knowledge Graphs, Graph ML, Probabilistic programming, A/B testing", "professionalSkills" : [ "Software engineering", "Data Engineering", "MLOps", "Stakeholder management", "Roadmap delivery", "Onboarding" ], "hardSkillsList" : [ "Distributed data systems", "ML experimentation", "ML governance", "Distributed processing", "Algorithm application", "Impact estimation", "Impact measurement", "Experiment design", "Statistical analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Distributed data systems", "level" : "intermediate" }, { "name" : "ML experimentation", "level" : "intermediate" }, { "name" : "ML governance", "level" : "intermediate" }, { "name" : "Distributed processing", "level" : "intermediate" }, { "name" : "Algorithm application", "level" : "intermediate" }, { "name" : "Impact estimation", "level" : "intermediate" }, { "name" : "Impact measurement", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Machine Learning, Data Engineering, MLOps, Software Engineering", "majorSkillsList" : [ "Machine Learning", "Data Engineering", "MLOps", "Software Engineering" ], "coreResponsibilities" : "Remove bottlenecks from Data Science workflows, Provide ML tooling for experiments, Develop Wise's ML Label Platform, Drive high priority projects from proof-of-concept to MVP, Drive service / tooling development, Own evolution of ML experimentation tooling, Own evolution of label quality, Co-own stakeholder management, Co-own roadmap, Co-own delivery, Co-own onboarding, Conduct presentations, Conduct demos, Conduct workshops, Maintain good documentation, Maintain progress updates, Drive impactful proof-of-concepts, Bridge gap for two or more teams, Perform software engineering, Perform MLOps, Perform Data Engineering, Perform Science tasks, Prove value of new methodologies, Prove value of new algorithms, Estimate impact, Measure impact, Mentor junior members", "teamCollaboration" : "Cross-functional teams; Cross-team collaboration", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Fincrime; KYC; Customer Support; ML Label Platform; Knowledge Graphs; Graph ML; Probabilistic programming; A/B testing; Terabyte scale processing", "domainList" : [ "fincrime", "kyc", "customer-support", "ml-label-platform", "knowledge-graphs", "graph-ml", "probabilistic-programming", "a-b-testing", "terabyte-scale-processing" ], "domainSpecificKnowledge" : [ "Fincrime", "KYC", "Customer Support", "ML Label Platform", "Knowledge Graphs", "Graph ML", "Probabilistic programming", "A/B testing", "Terabyte scale processing" ], "toolProficiency" : [ "Terraform", "AWS", "Docker", "GitHub CI/CD", "MLFlow" ], "communicationSkills" : "Presentations; Demos; Workshops; Documentation; Progress updates", "documentationSkills" : "Documentation", "innovationCreativity" : "Proof-of-concept development; New methodologies; New tooling", "problemSolvingSkills" : "Problem solving; Refine problem statements; Propose solutions; Effort-impact-scalability tradeoff analysis", "qualificationsBasic" : "Extensive experience with end-to-end distributed data systems, ML-centric experience, Previous experience as Data Scientist, Excellent Python knowledge, Excellent Software Engineering knowledge, Ability to work with Java, Demonstrable experience collaborating with engineers, Drive to solve problems for Data Scientists, Ability to work independently, Good communication skills, Ability to get point across to non-technical individuals, Ability to back up with data, Ability to engage and manage project, Problem solving skills, Ability to help refine problem statements, Ability to propose solutions, Consider effort-impact-scalability tradeoff", "qualificationsPreferred" : "Apache Spark experience, Iceberg experience, Kafka experience, Dbt experience, Scikit-Learn experience, XGBoost experience, PyTorch experience, MLFlow experience, GraphFrames experience, Ray experience, AWS experience, Terraform experience, Docker experience, GitHub CI/CD experience, Knowledge Graphs experience, RAG experience, Graph ML experience, Probabilistic programming experience, A/B testing experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about [our mission](https://wise.jobs/our-mission) and [what we offer](https://wise.jobs/what-we-offer). We’re looking for a Lead Machine Learning Engineer to join our growing Servicing Machine Learning and Data Engineering Team in London. This role is a unique opportunity to scale and advance the impact of Data Science in Servicing tribe – namely Fincrime, KYC and Customer Support squads. What you build will have a direct impact on [Wise’s mission](https://www.transferwise.jobs/what-we-do/) and millions of our customers. Our team is responsible for 1) removing bottlenecks from Data Science workflows, 2) providing ML tooling for experiments, 3) developing Wise’s ML Label Platform. Moreover, we are responsible for driving high priority projects from proof-of-concept to MVP, to service / tooling. We are looking for someone to own the evolution of ML experimentation tooling and label quality – at first for Fincrime teams, then for other squads in Servicing. You will co-own stakeholder management, roadmap, delivery and onboarding. You’re also expected to conduct presentations, demos and workshops, in addition to maintaining good documentation and progress updates for your projects. Additionally, you will have the freedom to drive impactful proof-of-concepts of new methodologies and tooling that bridge a gap for two or more teams in Servicing tribe. Here’s how you’ll be contributing: * Software engineering: e.g. testing + CI/CD, monitoring/alerting + disaster recovery * MLOps: Terraform and AWS infra, ML governance for hundreds of models * Data Engineering: distributed processing at terabyte scale * Science: prove value of new methodologies / algorithms applied to cross-team domains, estimate and measure impact, mentor junior members in experiment design ## Qualifications A bit about you: * Extensive experience with end-to-end distributed data systems, specially ML-centric ones; * Previous experience as Data Scientist in large scale product team / business; * Excellent Python and Software Engineering knowledge. Ability to work with Java if needed. Demonstrable experience collaborating with engineers on services.; * Strong drive to solve problems for Data Scientists, with the ability to work independently in a cross-functional and cross-team environment; * Good communication skills, ability to get the point across to non-technical individuals and back it up with data (and statistical analysis), to engage and manage project stakeholders; * Strong problem solving skills with the ability to help refine problem statements and propose solutions taking effort-impact-scalability tradeoff into account. Some skills that will make you stand out: * Apache Spark, Iceberg, Kafka, dbt * Scikit-Learn, XGBoost, PyTorch, MLFlow,, GraphFrames, Ray * AWS (S3, EMR, SageMaker, Lakeformation), Terraform, Docker, GitHub CI/CD * Knowledge Graphs (+ RAG), graph ML, probabilistic programming, A/B testing ## Additional Information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit [Wise.Jobs](https://www.wise.jobs/). Keep up to date with life at Wise by following us on [LinkedIn](https://www.linkedin.com/company/1769571/) and [Instagram](https://www.instagram.com/wisecareers/).", "summaryDescription" : "Lead ML Engineer / Scientist at Wise. Skills: Machine Learning, Data Engineering, MLOps, Software Engineering. Remove bottlenecks from Data Science workflows. 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Perform a variety of complex laboratory tests and procedures according to prescribed protocols and assigned schedules, completing them within established turnaround times. Review normal and critical results for accuracy and completeness before reporting, promptly notifying supervisors of unusual results or discrepancies. Conduct quality control procedures, including preventive maintenance, calibrations, and data recording, to support and participate in Quality Assurance efforts and the Performance Improvement process. Utilize standard laboratory equipment, ensuring accuracy and completeness of recorded results, while also performing data entry of diagnostic information. Prepare and label solutions, reagents, culture media, and stains following standard formulas and procedures. 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TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

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Our group performs cutting-edge research in GI oncology, is very productive, and publishes in high-impact journals such as Nature Cancer, Nature Communications, Nature Biotechnology, Nature Reviews Gastroenterology and Hepatology, New England Journal of Medicine, CA: A Journal for Clinicians, Gastroenterology, Cancer Cell, PNAS, JAMA Oncology, JNCI, Cancer Research, Clinical Cancer Research, , Annals of Surgery, etc. For more information on Dr. Goel’s research, please visit here . If you are passionate about some of the following things, we are working on this may be the perfect opportunity: ·          Development of cell-free DNA (mutation and methylation), RNA, and exosomal-based liquid assays for early cancer detection, prognosis, and predictive responses to chemotherapies and targeted drugs. ·          Studying the genetic and epigenetic basis of GI cancers (e.g., aberrant DNA methylation, histone modifications, and non-coding RNAs). ·          Understanding the biological implications of gut microbiome and its translational application in gastrointestinal cancers ·          The genetic basis of early-onset colorectal cancer (EO-CRC) and familial/hereditary colorectal cancer. ·          The role of extracellular vesicles/exosomes in cancer pathogenesis and their role as disease biomarkers. ·          The role of the tumor microenvironment, stem cells, immune regulation, and identification of novel targeted therapies. ·          Cancer prevention and adjunctive role of natural and integrative therapy approaches. As a successful candidate, you will be: ·          Developing liquid biopsy biomarkers for cancer diagnosis, prognosis, and therapy response prediction. ·          Investigating the epigenetic basis of GI cancers, such as aberrant DNA methylation, histone modifications, and non-coding RNAs. ·          Exploring the genetics of early-onset and familial/hereditary colorectal cancers. ·          Studying the tumor microenvironment, stem cells, immune regulation, and identifying targeted therapies. ·          Investigating extracellular vesicles/exosomes in cancer pathogenesis and as disease biomarkers Your qualifications should include: ·          PhD, MD, or MD/PhD, with a strong background and profound knowledge in the field of oncology, cancer biology, immunology, or immunotherapy. ·          Prior molecular, cancer biology, and/or translational research experience and evidence of project development and supervision of post-doctoral fellows and technical staff. ·          Evidence of scientific rigor and excellence as documented by high-impact peer-reviewed publications, as a first/lead author. ·          Evidence for obtaining successful funding from various foundations or other extramural resources. ·          Documented evidence of mentoring post-docs, research associates, and others in a research laboratory environment. 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TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "certifications" : [ "Registered Nurse" ], "timestamp" : "2026-06-16T06:14:04.287", "fingerprint" : "365390546995d80e6a409b4bcb49739a1390bc9fff872ee40e8d71a588829105", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-tgh.taleo.net/careersection/ex/jobdetail.ftl?job=676609", "externalId" : "676609", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "professionalSkills" : [ "Nursing care", "Quality improvement" ], "hardSkillsList" : [ "Nursing documentation", "Patient rights" ], "hardSkills" : [ { "name" : "Nursing documentation", "level" : "intermediate" }, { "name" : "Patient rights", "level" : "intermediate" } ], "majorSkills" : "Nursing care, Patient care", "majorSkillsList" : [ "Nursing care", "Patient care" ], "coreResponsibilities" : "Deliver nursing care to patients, Plan nursing care, Implement nursing care, Document nursing care, Identify situations requiring further action, Report situations requiring further action, Formulate goal-directed plan, Communicate goal-directed plan, Assure patient rights", "domainKnowledge" : "Professional guidelines", "domainList" : [ "professional-guidelines" ], "domainSpecificKnowledge" : [ "Professional guidelines" ], "communicationSkills" : "Communicate plan", "documentationSkills" : "Nursing documentation", "qualificationsBasic" : "Graduate of an accredited School of Nursing, Licensure to practice as a Registered Nurse in the State of Florida", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, following established policies, procedures, and professional guidelines, delivers nursing care to patients. 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Plan nursing care", "createdAt" : "2026-06-14T18:48:41.141", "lastUpdated" : "2026-06-16T06:14:04.287", "ingestTimestamp" : "2026-06-14T18:48:41.141", "mongoId" : "6a0de91358b93c861eb990d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Nursing documentation", "Patient rights", "Nursing care", "Patient care", "Quality improvement", "Professional guidelines", "Registered Nurse" ], "skillCount" : 7, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30872bf292fd229c08682a", "title" : "Principal Scientist, Lentivirus Downstream Process Development", "company" : "Legend Biotech", "industry" : "Biotech", "salary" : { "min" : 146410.0, "max" : 192164.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Somerset, New Jersey, United States", "locations" : [ "Somerset", "New Jersey", "United States" ], "timestamp" : "2026-06-16T10:10:10.746", "fingerprint" : "30ce75b581742f4b4c5865aeb50ecd1d9c003e26c177b21bea469c2472692342", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/legendcareers/jobs/4706012005", "externalId" : "4706012005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Somerset", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.5675084,-74.6189556" } ], "locationText" : "Somerset, New Jersey, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Lentivirus, Viral vectors, Cell therapies, TCR-T, NK cell, Biotechnology, Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, Purification, Chromatography, TFF, GMP, CMC, IND, IMPD, Engineering modeling, Optimization", "professionalSkills" : [ "Process development", "Manufacturing", "Project management", "Tech transfer", "Regulatory compliance", "Scientific rigor", "Continuous improvement", "Strategic focus", "Troubleshooting" ], "hardSkillsList" : [ "Vector recovery", "Vector purity", "Vector potency" ], "softSkillsList" : [ "Leadership", "Emotional intelligence" ], "hardSkills" : [ { "name" : "Vector recovery", "level" : "intermediate" }, { "name" : "Vector purity", "level" : "intermediate" }, { "name" : "Vector potency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Emotional intelligence" } ], "majorSkills" : "Viral Vector Purification, Process Development, GMP Manufacturing", "majorSkillsList" : [ "Viral Vector Purification", "Process Development", "GMP Manufacturing" ], "coreResponsibilities" : "Implement state-of-the-art knowledge management for DSP data, Communicate potential issues and delays, Communicate solutions and mitigation approaches, Identify project acceleration opportunities, Leverage advanced science and technology, Maximize vector recovery, purity, and potency, Identify creative solutions to define unknowns, Guide a team of scientists, Foster a culture of transparency, Foster a culture of scientific rigor, Foster a culture of continuous improvement, Author technical documents, Review technical documents, Work closely with Upstream Process Development, Work closely with Analytical Development, Ensure integrated process outcomes, Ensure holistic process outcomes, Tech transfer process, Resolve conflict, Proactively identify performance issues, Address performance issues, Ensure compliance with regulatory requirements", "teamCollaboration" : "Senior Leaders; CMC Project Manager; Project Leader; Technical leads; Upstream Process Development; Analytical Development", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Viral vector field; GMP manufacturing requirements; CMC strategies; Early-phase clinical trials", "domainList" : [ "viral-vector-field", "gmp-manufacturing-requirements", "cmc-strategies", "early-phase-clinical-trials" ], "domainSpecificKnowledge" : [ "Viral vector field", "GMP manufacturing requirements", "CMC strategies", "Early-phase clinical trials" ], "communicationSkills" : "Technical documentation; Regulatory submissions", "documentationSkills" : "Development reports; SOPs; CMC sections", "innovationCreativity" : "Creative solutions", "problemSolvingSkills" : "Troubleshooting skills", "outcomesObjectives" : "Maximize vector recovery; Maximize vector purity; Maximize vector potency", "qualificationsBasic" : "PhD or MS degree, 8+ years (PhD) experience, 10+ years (MS) experience, Deep technical hands-on experience in purification, Deep technical hands-on experience in chromatography, Deep technical hands-on experience in TFF, Understanding of GMP manufacturing, Understanding of CMC strategies, Deep knowledge in cell technologies, Deep knowledge in lentiviral vector technologies, Ability to implement closed-system processes, Ability to maximize cost effectiveness, Knowledge in engineering modeling, Knowledge in optimization, Excellent leadership, Excellent emotional intelligence, Excellent communication", "qualificationsPreferred" : "PhD preferred, Developing vector processes for CAR-T, Developing vector processes for systemic delivery, Handling large scale (>50L) purification process, Mandarin language is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R implement state-of-the-art knowledge management for DSP data. Communicate the potential for issues and delays along with solutions and mitigation approaches. In collaboration with the Senior Leaders, CMC Project Manager, Project Leader, and other technical leads identify project acceleration opportunities. Leverage advanced science and technology to maximize vector recovery, purity, and potency, identifying creative solutions to define unknowns in the viral vector field. Guide a team of scientists in the execution of project-specific activities, fostering a culture of transparency, scientific rigor, and continuous improvement. Author and serve as a primary reviewer for technical documents, including development reports, SOPs, and CMC sections for regulatory submissions (IND/IMPD). Work closely with Upstream Process Development and Analytical Development teams to ensure integrated and holistic process outcomes. Tech transfer process to/from other Legend sites or CDMOs Resolve conflict and proactively identify/address performance issues. Ensure compliance with regulatory requirements. Requirements Advanced degree (PhD preferred, or MS) in Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, or a related field. 8+ years (PhD) or 10+ years (MS) of experience in process development or manufacturing within a biotech or pharmaceutical setting. Deep technical hands-on experience in purification, chromatography, and TFF specifically for viral vectors (Lentivirus preferred) Strong understanding of GMP manufacturing requirements and CMC strategies for early-phase clinical trials. Deep knowledge and hands-on experiences in cell and lentiviral vector technologies within the current emerging field Ability to implement closed-system processes and maximize cost effectiveness Strong knowledge in engineering modeling and optimization. Excellent leadership, emotional intelligence, and communication skills; ability to maintain composure and strategic focus during challenging development timelines. Creative, strategic thinking Strong troubleshooting skills Preferred experience in developing vector processes tailored for CAR-T generation and systemic delivery Preferred experience in handling large scale(>50L) purification process. Language: English. Mandarin is a plus. #Li-JR1 #Li-Hybrid The base pay range below is what Legend Biotech USA Inc. reasonably expects to offer at the time of posting. Actual compensation may vary based on experience, skills, qualifications, and geographic location. The company reserves the right to modify this range as needed and in accordance with applicable laws. Other Types of Pay: Performance-based bonus and/or equity is available to employees in eligible roles. Benefits and Paid Time Off: Medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer eight (8) weeks of paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays. Additional voluntary benefits include flexible spending and health savings accounts, life and AD demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work. Pay Range (Base Pay): $146,410—$192,164 USD Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech. EEO Statement It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances. Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company. For information related to our privacy notice, please review: Legend Biotech Privacy Notice.", "summaryDescription" : "Principal Scientist, Lentivirus Downstream Process Development at Legend Biotech. Skills: Viral Vector Purification, Process Development, GMP Manufacturing. Implement state-of-the-art knowledge management for DSP data. Communicate potential issues and delays", "postedDate" : "2026-06-16T01:22:16.605", "createdAt" : "2026-06-16T01:22:16.605", "lastUpdated" : "2026-06-16T10:10:10.746", "ingestTimestamp" : "2026-06-16T01:22:16.605", "mongoId" : "6a30872bf292fd229c08682a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 146410, "salaryAnnualMax" : 192164, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Vector recovery", "Vector purity", "Vector potency", "Leadership", "Emotional intelligence", "Viral Vector Purification", "Process Development", "GMP Manufacturing", "Process development", "Manufacturing", "Project management", "Tech transfer", "Regulatory compliance", "Scientific rigor", "Continuous improvement", "Strategic focus", "Troubleshooting", "Viral vector field", "GMP manufacturing requirements", "CMC strategies", "Early-phase clinical trials" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30872bf292fd229c08682b", "title" : "Principal Scientist, Upstream Process, Process Development", "company" : "Legend Biotech", "industry" : "Biotech", "salary" : { "min" : 146410.0, "max" : 192164.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Somerset, New Jersey, United States", "locations" : [ "Somerset", "New Jersey", "United States" ], "timestamp" : "2026-06-16T10:46:06.092", "fingerprint" : "6a9a03ed4722086d519f0ca78f36667e4eac56fc0784b1643134bbc33c4a68c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/legendcareers/jobs/4706014005", "externalId" : "4706014005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Somerset", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.5675084,-74.6189556" } ], "locationText" : "Somerset, New Jersey, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "MS", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, Mammalian cell culture, HEK293, HEK293T, Seed train expansion, Feeding strategy, Transient transfection, Viral vectors, Lentivirus, Bioreactor, Engineering modeling, Mass transfer, Bioprocess optimization", "professionalSkills" : [ "Process development", "Manufacturing", "Scale-up models", "Scale-down models", "CMC strategies", "Tech transfer" ], "hardSkillsList" : [ "Cell culture", "Transfection optimization", "Bioreactor operation", "Process optimization", "Regulatory compliance" ], "softSkillsList" : [ "Leadership", "Emotional intelligence", "Strategic thinking", "Troubleshooting" ], "hardSkills" : [ { "name" : "Cell culture", "level" : "intermediate" }, { "name" : "Transfection optimization", "level" : "intermediate" }, { "name" : "Bioreactor operation", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Emotional intelligence" }, { "name" : "Strategic thinking" }, { "name" : "Troubleshooting" } ], "majorSkills" : "Upstream Process Development, Viral Vector Production, Bioreactor Scale-up, Process Optimization", "majorSkillsList" : [ "Upstream Process Development", "Viral Vector Production", "Bioreactor Scale-up", "Process Optimization" ], "coreResponsibilities" : "Implement state-of-the-art knowledge management, Communicate potential issues and delays, Communicate solutions and mitigation approaches, Identify project acceleration opportunities, Leverage science and technology, Maximize vector titer, Maximize specific productivity, Maximize quality, Identify creative solutions, Define unknowns in viral vector production, Guide scientists in project execution, Foster culture of transparency, Foster culture of scientific rigor, Foster culture of continuous improvement, Author technical documents, Review technical documents, Work closely with Downstream Process Development, Work closely with Analytical Development, Ensure integrated process outcomes, Ensure holistic process outcomes, Perform tech transfer, Resolve conflict, Proactively identify performance issues, Address performance issues, Ensure compliance with regulatory requirements", "teamCollaboration" : "Senior Leaders; CMC Project Manager; Project Leader; Technical leads; Downstream Process Development; Analytical Development", "projectManagementSkills" : [ "Project acceleration" ], "domainKnowledge" : "Biotechnology; Cell therapies; Viral vector production; Mammalian cell culture; Lentivirus; GMP manufacturing; CMC strategies; Early-phase clinical trials; Engineering modeling; Mass transfer; Bioprocess optimization", "domainList" : [ "biotechnology", "cell-therapies", "viral-vector-production", "mammalian-cell-culture", "lentivirus", "gmp-manufacturing", "cmc-strategies", "early-phase-clinical-trials", "engineering-modeling", "mass-transfer", "bioprocess-optimization" ], "domainSpecificKnowledge" : [ "Biotechnology", "Cell therapies", "Viral vector production", "Mammalian cell culture", "Lentivirus", "GMP manufacturing", "CMC strategies", "Early-phase clinical trials", "Engineering modeling", "Mass transfer", "Bioprocess optimization" ], "toolProficiency" : [ "Bioreactors" ], "communicationSkills" : "Technical documentation; Regulatory submissions", "documentationSkills" : "Development reports; SOPs; CMC sections", "innovationCreativity" : "Creative solutions", "problemSolvingSkills" : "Troubleshooting skills", "outcomesObjectives" : "Maximize vector titer; Maximize specific productivity; Maximize quality", "qualificationsBasic" : "MS or PhD, 8+ years (PhD) experience, 10+ years (MS) experience, Mammalian cell culture experience, Seed train expansion experience, Feeding strategy experience, Transient transfection optimization experience, Viral vector experience, Lentivirus experience, Bioreactor scale-up models experience, Bioreactor scale-down models experience, GMP manufacturing requirements knowledge, CMC strategies knowledge, Cell technology knowledge, Lentiviral vector technology knowledge, Engineering modeling knowledge, Mass transfer knowledge, Bioprocess optimization knowledge", "qualificationsPreferred" : "PhD preferred, Large-scale bioreactor processes experience, Mandarin language a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R implement state-of-the-art knowledge management for USP data. Communicate the potential for issues and delays along with solutions and mitigation approaches. In collaboration with the Senior Leaders, CMC Project Manager, Project Leader, and other technical leads, identify project acceleration opportunities. Leverage advanced science and technology to maximize vector titer, specific productivity, and quality, identifying creative solutions to define unknowns in the viral vector production field. Guide a team of scientists in the execution of project-specific activities, fostering a culture of transparency, scientific rigor, and continuous improvement. Author and serve as a primary reviewer for technical documents, including development reports, SOPs, and CMC sections for regulatory submissions (IND). Work closely with Downstream Process Development and Analytical Development teams to ensure integrated and holistic process outcomes. Tech transfer process to/from other Legend sites or CDMOs. Resolve conflict and proactively identify/address performance issues. Ensure compliance with regulatory requirements. Requirements Advanced degree (PhD preferred, or MS) in Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, or a related field. 8+ years (PhD) or 10+ years (MS) of experience in process development or manufacturing within a biotech or pharmaceutical setting Deep technical hands-on experience in mammalian cell culture (HEK293, HEK293T), seed train expansion, feeding strategy and transient transfection optimization specifically for viral vectors (Lentivirus preferred). Proven expertise in developing and implementing bioreactor scale-up and scale-down models. Strong understanding of GMP manufacturing requirements and CMC strategies for early-phase clinical trials. Deep knowledge and hands-on experiences in cell and lentiviral vector technologies within the current emerging field Strong knowledge in engineering modeling, mass transfer, and bioprocess optimization. Excellent leadership, emotional intelligence, and communication skills; ability to maintain composure and strategic focus during challenging development timelines. Creative, strategic thinking. Strong troubleshooting skills Preferred experience in handling large-scale (>50L, e.g., 200L/500L) upstream bioreactor processes. Language(s): English. Mandarin is a plus. #Li-JR1 #Li-Onsite The base pay range below is what Legend Biotech USA Inc. reasonably expects to offer at the time of posting. Actual compensation may vary based on experience, skills, qualifications, and geographic location. The company reserves the right to modify this range as needed and in accordance with applicable laws. Other Types of Pay: Performance-based bonus and/or equity is available to employees in eligible roles. Benefits and Paid Time Off: Medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer eight (8) weeks of paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays. Additional voluntary benefits include flexible spending and health savings accounts, life and AD demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work. Pay Range (Base Pay): $146,410—$192,164 USD Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech. EEO Statement It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances. Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company. For information related to our privacy notice, please review: Legend Biotech Privacy Notice.", "summaryDescription" : "Principal Scientist, Upstream Process, Process Development at Legend Biotech. Skills: Upstream Process Development, Viral Vector Production, Bioreactor Scale-up, Process Optimization. Implement state-of-the-art knowledge management. Communicate potential issues and delays", "postedDate" : "2026-06-16T01:21:58.038", "createdAt" : "2026-06-16T01:21:58.038", "lastUpdated" : "2026-06-16T10:46:06.092", "ingestTimestamp" : "2026-06-16T01:21:58.038", "mongoId" : "6a30872bf292fd229c08682b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 146410, "salaryAnnualMax" : 192164, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cell culture", "Transfection optimization", "Bioreactor operation", "Process optimization", "Regulatory compliance", "Leadership", "Emotional intelligence", "Strategic thinking", "Troubleshooting", "Upstream Process Development", "Viral Vector Production", "Bioreactor Scale-up", "Process Optimization", "Process development", "Manufacturing", "Scale-up models", "Scale-down models", "CMC strategies", "Tech transfer", "Project acceleration", "Biotechnology", "Cell therapies", "Viral vector production", "Mammalian cell culture", "Lentivirus", "GMP 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"b6201a1b7310eb1a56207dfdf8317975cc2206fae877bc298f23cb4b6029238a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/genezenlabs/jobs/6030515004", "externalId" : "6030515004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fishers", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9555928,-86.0138729" } ], "locationText" : "Fishers, Indiana, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Bioprocess Engineering, Life Science Biotechnology, Biochemistry, Protein Chemistry, Chemical Engineering, Cell Culture, Bioreactor Technologies, Transfection, Infection approaches, Gene therapy, Viral vaccines, Therapeutic proteins", "professionalSkills" : [ "Process Development", "Cell Line Development", "Upstream Processing", "Technology Transfer", "GMP Manufacturing", "Scale-up", "Process Improvements", "Process Characterization", "Bills of Materials", "Sampling Plans", "Process Troubleshooting", "Data Analysis", "Root Cause Analysis", "Change Controls", "CAPAs", "CCRs", "Quality Systems", "Experimental Design", "Data Review", "Scale-down Models", "Lab Notebooks", "Protocols", "Development Reports", "Process Descriptions", "Scientific Reports", "Client Presentations", "Program Strategy" ], "hardSkillsList" : [ "Process Development", "Cell Line Development", "Upstream Processing", "Cell Culture", "Bioreactor Technologies", "Transfection", "Infection approaches", "Technology Transfer", "GMP Manufacturing", "Scale-up", "Process Improvements", "Process Characterization", "Data Analysis", "Root Cause Analysis", "Quality Systems", "Experimental Design", "Scale-down Models" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Process Development", "level" : "intermediate" }, { "name" : "Cell Line Development", "level" : "intermediate" }, { "name" : "Upstream Processing", "level" : "intermediate" }, { "name" : "Cell Culture", "level" : "intermediate" }, { "name" : "Bioreactor Technologies", "level" : "intermediate" }, { "name" : "Transfection", "level" : "intermediate" }, { "name" : "Infection approaches", "level" : "intermediate" }, { "name" : "Technology Transfer", "level" : "intermediate" }, { "name" : "GMP Manufacturing", "level" : "intermediate" }, { "name" : "Scale-up", "level" : "intermediate" }, { "name" : "Process Improvements", "level" : "intermediate" }, { "name" : "Process Characterization", "level" : "intermediate" }, { "name" : "Data Analysis", "level" : "intermediate" }, { "name" : "Root Cause Analysis", "level" : "intermediate" }, { "name" : "Quality Systems", "level" : "intermediate" }, { "name" : "Experimental Design", "level" : "intermediate" }, { "name" : "Scale-down Models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Upstream Process Development, Technology Transfer, GMP Manufacturing Support", "majorSkillsList" : [ "Upstream Process Development", "Technology Transfer", "GMP Manufacturing Support" ], "coreResponsibilities" : "Provide technical oversight, Provide strategic input, Lead platform improvement projects, Manage platform improvement projects, Coordinate platform improvement projects, Support late-stage development, Identify development tasks, Plan development activities, Monitor deliverable progress, Generate protocols, Generate reports, Qualify scale-down models, Characterize processes, Validate scale-down models, Support technology transfer activities, Perform experiments, Implement process improvements, Characterize processes at scale, Provide MSAT technical support, Provide manufacturing technical support, Troubleshoot processes, Analyze manufacturing data, Perform root cause analysis, Manage deviations during GMP production, Manage change controls, Manage CAPAs, Manage CCRs, Design experimental plans, Analyze experimental results, Review experimental results, Optimize scale-down models, Maintain scale-down models, Write lab notebook entries, Approve lab notebook entries, Write experimental protocols, Approve experimental protocols, Write development reports, Approve development reports, Write process descriptions, Approve process descriptions, Write scientific reports, Approve scientific reports, Present project progress, Present project results, Maintain communication with functions, Supervise USP lab activities, Guide junior team members, Set goals for team members, Assign tasks to team members", "teamCollaboration" : "Cross-functional teams; External partners; Analytical Development; Manufacturing; Engineering; MSAT; Relevant functions", "projectManagementSkills" : [ "Program Strategy" ], "domainKnowledge" : "Gene therapy; Viral vectors; Cell therapy; GMP manufacturing; EMA/FDA regulations; ICH guidelines", "domainList" : [ "gene-therapy", "viral-vectors", "cell-therapy", "gmp-manufacturing", "ema-fda-regulations", "ich-guidelines" ], "domainSpecificKnowledge" : [ "Gene therapy", "Viral vectors", "Cell therapy", "GMP manufacturing", "EMA/FDA regulations", "ICH guidelines" ], "toolProficiency" : [ "Electronic Lab Notebooks" ], "communicationSkills" : "External presentations; Technical discussion; Internal presentations; Client presentations", "documentationSkills" : "Protocol generation; Report generation; Lab notebook entries; Process descriptions; Scientific reports; Quality Systems documentation", "innovationCreativity" : "Innovative problem solvers", "problemSolvingSkills" : "Problem solvers; Process troubleshooting; Root cause analysis", "specialRequirements" : "Work schedule may change, Criminal background check required, Sit for long periods, Lift up to 10 pounds, Lift up to 25 pounds", "qualificationsBasic" : "MSc with 8+ years of relevant work experience, PhD with 6+ years of relevant work experience, Process Development and Cell Line Development Experience, Upstream Processing Experience with Cell Culture, Bioreactor Technologies, and Transfection/Infection approaches, Hands-on experience on complex biologics, Experience with technology transfer and GMP manufacturing technical support, Experience with EMA/FDA regulations, ICH", "qualificationsPreferred" : "Prior work experience at a CDMO", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The field of gene therapy is growing rapidly and Genezen is here to meet the exacting needs of our clients. We provide process development, produce GMP viral vectors, and provide cell transduction for gene and cell therapy clinical trials and are proud to be a part of the process that leads to new cures. WORKING AT GENEZEN Many people have worked in environments where you feel like just another nameless part of an enormous machine. Genezen is different. We want our employees to be innovative, collaborative problem solvers who are dedicated to meeting the challenges of working at a fast-growing company. We are dedicated to empowering our employees to be their best and making Genezen a rewarding place to work. Every employee contributes to the success of the company and you can be part of that team. JOB SUMMARY The Sr./Principal Scientist, Upstream Process Development will be part of the Process Development Group reporting to the Director of Process Development. The role will have direct management responsibility for a team of Scientists and Research Associates. The Sr/Principal Scientist is responsible for the Upstream Process development, characterization, technology transfer and GMP manufacturing technical support. This individual will lead or contribute as a core member of various cross-functional teams, and interact extensively with other departments within Genezen, including Analytical Development, Manufacturing, Engineering, and MSAT. This is a client-facing position with regular interaction with our partners including external presentations, driving the technical discussion and program strategy. JOB RESPONSIBILITIES Provides technical oversight and strategic input for upstream viral vector drug substance development activities Leads, proposes, manages, and coordinates activities on platform improvement/continuous projects in USP labs Leads, manages, and supports late-stage development, by identifying tasks, planning, monitoring progress of deliverables, and in terms of protocol and report generation in areas such as scale-down model qualification, process characterization, and scale-down model process validation studies Leads and supports technology transfer activities at pilot plant and when necessary, preforms experiments him/herself, focusing scale-up platform process at scale and process improvements implementation, process characterization at scale and bills of materials as well as sampling plans. Provides MSAT and manufacturing technical Upstream SME support for process troubleshooting, manufacturing data analysis, root cause analysis, and deviations during GMP production, change controls, CAPAs, CCRs and other Quality Systems documentation as needed. Designs and outlines experimental plans to meet the defined Genezen and client objective. Analyses and reviews experimental results and data. Performs, optimizes, and maintains linear scale-down models. Writes, reviews, and approves electronic lab notebooks (ELNs) entries, experimental protocols, development reports, process descriptions, and scientific reports Presents project progress and results internally to cross-functional teams and externally to clients/stakeholders Maintains robust communication with all relevant functions that have an impact on or are impacted by Upstream Process Development Coordinates and supervises the activities in the USP labs (with a team of engineers/ (Jr.) bioprocess technologist, co-op students, interns, temporary personnel (contractors), and technical SMEs and when necessary, performs experiments him/herself. Guides junior USP team members by setting goals/tasks on projects SPECIAL JOB REQUIREMENTS Adaptability required as work schedule may change based on business needs Criminal background check required Other duties as assigned KNOWLEDGE, SKILLS AND EXPERIENCE EDUCATION / CERTIFICATIONS / LICENSES Essential/Desired MSc with 8+ years of relevant work experience in Bioprocess Engineering/ Life Science Biotechnology/Biochemistry/ Protein Chemistry, Chemical Engineering or related disciplines Essential PhD with 6+ years of relevant work experience in Bioprocess Engineering/ Life Science Biotechnology/Biochemistry/ Protein Chemistry, Chemical Engineering or related disciplines Desired ON-THE-JOB EXPERIENCE Process Development and Cell Line Development Experience Essential Upstream Processing Experience with Cell Culture, Bioreactor Technologies, and Transfection/Infection approaches Essential Prior work experience at a CDMO Desired SKILLS / ABILITIES Hands-on experience on complex biologics, e. g. gene therapy, viral vaccines, therapeutic proteins Essential Experience with technology transfer and GMP manufacturing technical support Essential Experience with EMA/FDA regulations, ICH guidelines, GMP and quality systems Essential Effective communicator with track record of presenting data to relevant stakeholders including external stakeholders Essential Experience with DoE design and statistical analysis on large data sets Essential Excellent scientific writing skills demonstrated by publications and reports Essential Experience with direct management of Scientists and Research Associates including day-to-day oversight and direction and career development and coaching. Essential PHYSICAL DEMANDS While performing the duties of this job, the employee is required to meet the following physical demands: Work Environment Regularly sit for long periods of time Movement Frequently required to stand; sit; use hands to finger, handle, or feel; reach with hands and arms Occasionally required to walk; climb or balance; and stoop, kneel, crouch, or crawl Lifting Frequently lift and/or move up to 10 pounds Rarely lift and/or move up to 25 pounds Vision Frequently utilize close vision and the ability to adjust focus Communication Frequently required to communicate by talking, hearing, using telephone and e-mail GENEZEN'S CURES VALUE-BASED COMPETENCIES Committed to Science We are committed to scientific excellence, staying current with industry developments, making data-driven decisions, and pursuing innovation to advance healthcare. Urgency in action for the patients We operate with urgency and a commitment to delivering timely treatments to patients by accelerating our partners' programs. Resilience however, we are not able to sponsor visas. Genezen has operates two locations: one in Fishers, Indiana and the second in Lexington, Massachusetts. Fishers is a suburb of Indianapolis. Fishers was named the #1 place to live in the US by Money Magazine in 2017 for its livability, safety and entrepreneurship. Fishers is one of the fastest growing communities in Indiana and is dedicated to supporting a high quality of life for all its residents. Nearby Indianapolis is home to professional and college sports teams, the Indy 500, a growing art community and the world’s largest children’s museum--to name just a few reasons why this area is a great place to live. Lexington, Massachusetts, located just northwest of Boston, is renowned as a historic suburb with a rich cultural heritage. It boasts picturesque New England charm, tree-lined streets, and a vibrant community. Known for its pivotal role in the American Revolution, Lexington offers visitors and residents alike a blend of historical landmarks, modern amenities, and a strong sense of community pride.", "summaryDescription" : "Sr/Principal Scientist - Upstream Process Development at Genezen. Skills: Upstream Process Development, Technology Transfer, GMP Manufacturing Support. Provide technical oversight. Provide strategic input", "postedDate" : "2026-06-16T01:20:25.644", "createdAt" : "2026-06-16T01:20:25.644", "lastUpdated" : "2026-06-16T12:09:40.636", "ingestTimestamp" : "2026-06-16T01:20:25.644", "mongoId" : "6a307f69f292fd229c058f0d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Process Development", "Cell Line Development", "Upstream Processing", "Cell Culture", "Bioreactor Technologies", "Transfection", "Infection approaches", "Technology Transfer", "GMP Manufacturing", "Scale-up", "Process Improvements", "Process Characterization", "Data Analysis", "Root Cause Analysis", "Quality Systems", "Experimental Design", "Scale-down Models", "Adaptability", "Upstream Process Development", "GMP Manufacturing Support", "Bills of Materials", "Sampling Plans", "Process Troubleshooting", "Change Controls", "CAPAs", "CCRs", "Data Review", "Lab Notebooks", "Protocols", "Development Reports", "Process Descriptions", "Scientific Reports", "Client Presentations", "Program Strategy", "Gene therapy", "Viral vectors", "Cell therapy", "GMP manufacturing", "EMA/FDA regulations", "ICH guidelines", "Electronic Lab Notebooks" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf26132beec4dd3d90b565", "title" : "Clinical Nurse - Medicine Overflow 2K7", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 65000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Clinical Nurse in Tampa, FL, adjusted for the healthcare industry and hospital size." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "certifications" : [ "Registered Nurse" ], "timestamp" : "2026-06-16T01:34:48.688", "fingerprint" : "b115b3d680f592432e02fdf13dc5c3f6d3a10e66515280c546b28a5d0a0d0c44", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=675110", "externalId" : "675110", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "minimumEducation" : "Graduate of an accredited School of Nursing", "majorSkills" : "Nursing care", "majorSkillsList" : [ "Nursing care" ], "coreResponsibilities" : "Deliver nursing care to patients, Plan nursing care, Implement nursing care, Document nursing assessments, Report situations requiring intervention, Formulate plan of care, Communicate plan of care, Assure patient rights, Provide professional nursing care, Perform job duties", "domainKnowledge" : "Patient care", "domainList" : [ "patient-care" ], "domainSpecificKnowledge" : [ "Patient care" ], "documentationSkills" : "Nursing assessments", "qualificationsBasic" : "Graduate of an accredited School of Nursing, Licensure to practice as a Registered Nurse in the state of Florida", "qualificationsPreferred" : "Hospital experience preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision of the Nurse Manager or designee, following established policies, procedures and professional guidelines, delivers nursing care to patients throughout the life span, neonatal through geriatric. Plans and implements nursing care; documents nursing assessments, identifies and reports situations requiring further intervention, formulates and communications goal directed plan of care; assures patient rights. Provides professional nursing care to patients in all areas covered by the Specialty Staffing Team within the assigned clinical division. Responsible for performing job duties in accordance with the mission, vision and values of Tampa General Hospital. Graduate of an accredited School of Nursing Licensure to practice as a Registered Nurse in the state of Florida. Hospital experience preferred. Tampa", "summaryDescription" : "Clinical Nurse - Medicine Overflow 2K7 at Tampa General Hospital. Skills: Nursing care. Deliver nursing care to patients. Plan nursing care", "createdAt" : "2026-06-14T17:32:01.562", "lastUpdated" : "2026-06-16T01:34:48.688", "ingestTimestamp" : "2026-06-14T17:32:01.562", "mongoId" : "69cf26132beec4dd3d90b565", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 90000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Nursing care", "Patient care", "Registered Nurse" ], "skillCount" : 3, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca40074d8ee00a09af537", "title" : "Clinical Lead", "company" : "Thornbury Community Services", "industry" : "Healthcare", "salary" : { "min" : 49000.0, "max" : 53000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "222 Grays Inn Rd, London, WC1X 8HB", "locations" : [ "222 Grays Inn Rd", "London", "WC1X 8HB" ], "certifications" : [ "NMC pin" ], "timestamp" : "2026-06-15T11:39:48.014", "fingerprint" : "3938dea64c6cb6fabeedfd9a9c4d4aaddc47bfa911d3c681731df0ce040cea78", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tcs/jobs/7726173003", "externalId" : "7726173003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gloucester", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.8653705,-2.2458192" }, { "city" : "Bristol", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.4538022,-2.5972985" }, { "city" : "Oxford", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.7520131,-1.2578499" } ], "locationText" : "Gloucester, United Kingdom; Bristol, United Kingdom; Oxford, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Degree", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Holistic nursing assessments", "Individualised care plans", "Clinical training", "Mentorship", "Supervision", "Performance reviews", "Professional development" ], "hardSkillsList" : [ "Tracheostomy care", "Ventilation management" ], "hardSkills" : [ { "name" : "Tracheostomy care", "level" : "intermediate" }, { "name" : "Ventilation management", "level" : "intermediate" } ], "majorSkills" : "Clinical care, Team management, Community care", "majorSkillsList" : [ "Clinical care", "Team management", "Community care" ], "coreResponsibilities" : "Undertake holistic nursing assessments, Develop individualised care plans, Communicate clinical condition, Ensure accurate records maintained, Identify and manage risks, Lead investigation of incidents, Resolution of clinical incidents, Support staff, Deliver client-specific training, Provide feedback, Support professional development", "teamCollaboration" : "Care team partnership; Other healthcare professionals", "domainKnowledge" : "Complex care; Paediatric packages; Adult packages", "domainList" : [ "complex-care", "paediatric-packages", "adult-packages" ], "domainSpecificKnowledge" : [ "Complex care", "Paediatric packages", "Adult packages" ], "toolProficiency" : [ "Microsoft Word", "Microsoft Excel", "Microsoft Outlook" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Accurate records maintenance; Incident documentation", "continuousLearning" : "Opportunities to learn; Grow and develop skills", "problemSolvingSkills" : "Risk management; Incident resolution", "specialRequirements" : "Frequent travel, On call telephone support", "outcomesObjectives" : "Improve services; Maximise value by ensuring data quality", "qualificationsBasic" : "Adult nursing degree, Active NMC pin, Experience in complex care, Experience in critical care, Competencies in tracheostomy, Competencies in ventilation, Experience managing clinical teams, Experience in community setting", "qualificationsPreferred" : "Microsoft packages experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "We’re Hiring: Clinical Lead Permanent, Full Time + on call telephone support on a rota system Field based with frequent travel across Gloucester, Bristol and Oxford £49,000-£53,000 + £3,000 car allowance Are you passionate about delivering exceptional care and making a real difference in the community? We’re looking for a Clinical Lead to join our team and manage a caseload of adult and paediatric packages. Acacium Group are a leading global healthcare delivery partner and we are hiring a Clinical Lead. Part of Acacium Group, Thornbury Community Services are a team of exceptional and conscientious nurses and care staff with high-quality care as their number one priority. This enables us to deliver the best complex care at home or in the community, 24/7 or whenever our service users need it. With compassion, integrity and dedication, we help empower people to achieve personal aspirations, as well as providing care tailored to their needs. Making a positive difference to our client’s lives is our passion and it’s this that sets us apart. About the Role In this role, you will: Undertake initial holistic nursing assessments in partnership with the client, their family and the care team. Develop individualised care plans in partnership with the client, their family and other healthcare professionals. Effectively communicate with staff on the clinical condition/diagnosis and treatment/discharge plans of clients and ensure accurate records are maintained by staff. Identify and manage risks as part of care provision and lead the investigation and resolution of clinical incidents, ensuring timely and thorough documentation. Support staff by delivering client-specific clinical training, mentorship and supervision by providing feedback, conducting performance reviews, and supporting professional development. This is a role where your nursing skills and knowledge will really make a difference. What You’ll Bring We don’t expect perfection. If most of this sounds like you, we’d love to hear from you: Confidence working with Microsoft packages like Word, Excel and Outlook. Good written and verbal communication skills. A person centred approach. Why Join Us? Your work will directly shape decisions that improve our services. You’ll help us maximise value by ensuring data quality. You’ll be part of a supportive team where new ideas are welcomed. You’ll have opportunities to learn, grow, and develop your skills. Your Benefits Pensions scheme, free mortgage broker service & life assurance Wellbeing Benefits - Employee Assistance Programme. Digital Health & Wellbeing App. Mental, Social, Physical & Financial Workshops Recognition Benefits. Long Service awards, Exceptional performance awards & Increasing holiday allowance Discounts. Shopping, lifestyle & cinema discounts Experience and Qualifications We’re Looking For An adult nursing degree with an active NMC pin Experience in complex or critical care with competencies in tracheostomy and ventilation Experience managing clinical teams Experience in a community setting Inclusion & Accessibility We are passionately committed to being a truly inclusive and diverse company- it is at the heart of our core value of Putting People First. We continue to enhance our culture of inclusion and diversity across all of our roles and actively encourage applications from all backgrounds and communities.", "summaryDescription" : "Clinical Lead at Thornbury Community Services. Skills: Clinical care, Team management, Community care. Undertake holistic nursing assessments. 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Multi-disciplinary teams", "domainKnowledge" : "Automotive industry; Enterprise SaaS", "domainList" : [ "automotive-industry", "enterprise-saas" ], "domainSpecificKnowledge" : [ "Automotive industry", "Enterprise SaaS" ], "toolProficiency" : [ "TensorFlow", "Keras", "PyTorch", "OpenCV", "SpaCy", "Spark", "GCP", "Azure", "AWS", "Git" ], "communicationSkills" : "Technical liaison; Executive presentations", "innovationCreativity" : "Innovation; Novel solutions; R&D roadmap", "problemSolvingSkills" : "First-principles thinking; Complex problems; Unstructured problems; Data-driven approach", "outcomesObjectives" : "Translate research into business value; Deliver transformative solutions", "qualificationsBasic" : "7 - 9 years of post-academic experience, Advanced degree (Ph.D. or M.S.) in quantitative discipline, Programming, data manipulation, and model building experience, Sophisticated data visualization and presentation skills", "qualificationsPreferred" : "Domain expertise in automotive industry, Experience in Recommendation Engines, Experience in advanced NLP", "rawDescription" : "Tekion seeks an exceptionally talented and seasoned Staff / Lead Applied Scientist to architect the future of our AI-driven solutions. The incumbent will assume a pivotal role in our organization, providing the strategic and technical stewardship necessary to translate cutting-edge research into tangible business value. The ideal candidate is a first-principles thinker, adept at navigating ambiguity, and possesses the intellectual curiosity to formulate and solve complex, unstructured problems. This is seminal opportunity to influence the trajectory of our AI strategy and deliver transformative solutions at an enterprise scale.    Key Responsibilities - Strategic Direction: Architect and execute the strategic vision for applied AI and Machine Learning within Tekion, ensuring rigorous alignment with overarching business objectives and industry challenges. - Innovation & Research Leadership: Steer the R&D roadmap by identifying and capitalizing on emergent technological opportunities. Drive innovation through the ideation and implementation of novel, scientifically-grounded solutions. - Stakeholder Alignment: Serve as the principal technical liaison between the R&D organization and executive stakeholders, ensuring technical strategies are congruent with business imperatives. - Cross-Functional Execution: Lead collaborations with product, engineering, and business units to define, develop, and integrate sophisticated machine learning systems into core products and services. - Scientific Contribution: Contribute to the broader scientific community through publications in premier academic conferences and journals, enhancing Tekion's position as a center of innovation. - Mentorship & Talent Development: Mentor and cultivate a culture of scientific rigor and innovation among applied scientists, guiding project execution and fostering professional growth. - Impact Quantification: Establish robust frameworks for model evaluation and performance measurement. Quantify and articulate the business impact of machine learning initiatives to executive leadership. - Governance & Best Practices: Institute and govern best practices for the entire machine learning lifecycle, including model development, validation, deployment, and monitoring, while championing ethical and responsible AI CORE COMPETENCIES & TECHNICAL EXPERTISE             The successful candidate will demonstrate mastery in the following areas: - Foundational Expertise: Deep, theoretical and practical expertise in Machine Learning, Deep Learning, Causal Inference, and Explainable AI. - Statistical Rigor: Advanced proficiency in applied probability and statistics to derive and validate insights from complex, high-dimensional data.   DEEP LEARNING: - Expert-level proficiency with frameworks such as TensorFlow, Keras, and PyTorch. - Extensive experience implementing advanced neural network architectures. - Practical application of Computer Vision (e.g., OpenCV) and Natural Language Processing (e.g.,spaCy) methodologies. - Large Language Models (LLMs): Demonstrated experience with Large Language Models, including advanced prompt engineering, fine-tuning, and deployment for specific business applications. TECHNICAL PROFICIENCIES: - Advanced programming skills in Python and mastery of SQL. Familiarity with distributed computing frameworks (e.g., Spark) is advantageous. - Proficiency with cloud computing platforms (GCP, Azure, AWS). - Expertise in experimental design (A/B testing, causal inference). - Proficient in version control systems (Git). REQUIRED QUALIFICATIONS - An advanced degree (Ph.D. or M.S. preferred) in a quantitative discipline such as Computer Science, Statistics, Operations Research, Physics, or a related field. - A minimum of 7 - 9 years of post-academic experience in applied science or quantitative research roles, with a demonstrable history of translating complex models into tangible business value. - A distinguished track record of solving difficult, business-critical problems using a scientific, data-driven approach. - Proven experience in programming, data manipulation, and building models in a business context. - Sophisticated data visualization and presentation skills, with the ability to distill complex analytical results into clear, actionable insights for diverse audiences. IDEAL CANDIDATE PROFILE - A profound intellectual curiosity and a systematic, first-principles approach to problem-solving. - Domain expertise in the automotive industry or related fields such as finance or enterprise SaaS is highly desirable. - Experience in specialized areas such as Recommendation Engines or advanced NLP is preferred. - Exceptional communication and presentation capabilities, with a proven ability to distill complex technical concepts for executive-level audiences. - A demonstrated ability to work collaboratively and effectively lead initiatives across multi-disciplinary teams. - A commitment to continuous personal and team development within a collaborative, high-performance culture. PERKS AND BENEFITS - Competitive compensation - Generous stock options - Medical Insurance coverage - Work with some of the brightest minds from Silicon Valley’s most dominant and successful companies ", "summaryDescription" : "Lead Applied Scientist at Tekion. Skills: Applied AI, Machine Learning, Deep Learning, Causal Inference. Architect strategic vision for applied AI. 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Additionally, will assist in teaching students and staff, working under the authority of the Laboratory Director as per the Clinical Laboratory Improvement Amendments of 1988, CFR Section 493. 1445(a).", "teamCollaboration" : "assist coworkers as needed", "projectManagementSkills" : [ "assigned schedules" ], "toolProficiency" : [ "standard laboratory equipment" ], "communicationSkills" : "promptly notifying supervisors; interacting with colleagues; interacting with patients; interacting with physicians; interacting with vendors", "documentationSkills" : "data recording; data entry", "continuousLearning" : "Maintain knowledge of techniques for preparing and processing biological specimens for clinical analyses using universal precautions.", "problemSolvingSkills" : "unusual results; discrepancies", "specialRequirements" : "per diem evenings position, welcomes new licensed clinical laboratory scientists to apply, sign-on bonus to eligible candidates", "outcomesObjectives" : "deliver the cures of tomorrow to the people who need them today", "qualificationsBasic" : "Bachelor’s Degree, California Clinical Laboratory Scientist (CLS) licensure", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the transformative team at City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. We have an exciting Clinical Chemistry Laboratory opportunity for a Clinical Laboratory Scientist I position at City of Hope, located in Duarte, California. This is a per diem evenings position that welcomes new licensed clinical laboratory scientists to apply. We offer a sign-on bonus to eligible candidates. In this role, you will be responsible for preparing specimens for analysis and performing and reporting clinical laboratory procedures, ranging from waived to high complexity, all while adhering to strict compliance with written SOPs and various regulatory guidelines, including FACT, AABB, ACHI, CAP, FDA, and Joint Commission regulations. Additionally, you'll have the opportunity to assist in teaching students and staff, working under the authority of the Laboratory Director as per the Clinical Laboratory Improvement Amendments of 1988, CFR Section 493.1445(a). Join our dynamic team at City of Hope and contribute to groundbreaking medical research and patient care. Apply now! As a successful candidate, you will: Maintain knowledge of techniques for preparing and processing biological specimens for clinical analyses using universal precautions. Demonstrate proficiency in manual, semi-automated, and automated laboratory procedures. Perform a variety of complex laboratory tests and procedures according to prescribed protocols and assigned schedules, completing them within established turnaround times. Review normal and critical results for accuracy and completeness before reporting, promptly notifying supervisors of unusual results or discrepancies. Conduct quality control procedures, including preventive maintenance, calibrations, and data recording, to support and participate in Quality Assurance efforts and the Performance Improvement process. Utilize standard laboratory equipment, ensuring accuracy and completeness of recorded results, while also performing data entry of diagnostic information. Prepare and label solutions, reagents, culture media, and stains following standard formulas and procedures. Prioritize work, provide efficient service, assist coworkers as needed, maintain cleanliness and safety practices, and uphold a high level of integrity and confidentiality while maintaining a positive customer service image when interacting with colleagues, patients, physicians, and vendors. Your qualifications should include: Bachelor’s Degree California Clinical Laboratory Scientist (CLS) licensure City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Clinical Laboratory Scientist - Chemistry at City of Hope. Skills: Clinical Laboratory Scientist, specimen preparation, laboratory procedures, quality control, regulatory guidelines. Responsible for preparing specimens for analysis and performing and reporting clinical laboratory procedures, ranging from waived to high complexity, all while adhering to strict compliance with written SOPs and various regulatory guidelines, including FACT, AABB, ACHI, CAP, FDA, and Joint Commission regulations. 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}, { "name" : "Deal trend analysis", "level" : "intermediate" }, { "name" : "Process improvement roadmap", "level" : "intermediate" }, { "name" : "Automation development", "level" : "intermediate" }, { "name" : "AI implementation", "level" : "intermediate" }, { "name" : "Month-end close", "level" : "intermediate" }, { "name" : "Quarter-end close", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Deal Desk Strategy, Sales Operations, Revenue Operations, Process Improvement", "majorSkillsList" : [ "Deal Desk Strategy", "Sales Operations", "Revenue Operations", "Process Improvement" ], "coreResponsibilities" : "Act as operational leader, Serve as Senior Manager's extension, Be go-to for escalations, Set standard for quality, Mentor Associates and Specialists, Represent Senior Manager in forums, Align on Deal Desk priorities, Surface team needs and blockers, Serve as senior point of contact, Handle complex deals, Handle non-standard pricing requests, Handle contract exceptions, Oversee deal approval processes, Oversee pricing compliance, Step in on escalations, Step in on exceptions, Ensure team maintains SLA standards, Unblock complex cases, Resolve time-sensitive cases, Identify deal friction, Identify recurring blockers, Identify emerging risks, Own working relationship with Legal, Own working relationship with Finance, Align on policy, Set expectations, Ensure team has guidance, Develop deal playbooks, Maintain sales enablement resources, Build automated workflows, Scale automated workflows, Reduce manual effort, Focus on higher-value work, Track Deal Desk performance metrics, Track deal trends, Translate data into recommendations, Feed data into planning, Feed data into prioritization, Drive Deal Desk improvement roadmap, Lead improvement initiatives, Execute improvement initiatives, Support month-end close, Support quarter-end close, Ensure smooth deal execution, Ensure accurate deal execution", "teamCollaboration" : "Cross-functional initiatives; Senior stakeholders; Go-to-Market teams; Legal teams; Finance teams; Sales VPs; Sales Leadership", "projectManagementSkills" : [ "Process improvement", "Roadmap development", "Initiative execution" ], "domainKnowledge" : "Enterprise SaaS; Quote-to-Cash; Revenue recognition; Order management; Deal structure; Pricing; Contract exceptions", "domainList" : [ "enterprise-saas", "quote-to-cash", "revenue-recognition", "order-management", "deal-structure", "pricing", "contract-exceptions" ], "domainSpecificKnowledge" : [ "Enterprise SaaS", "Quote-to-Cash", "Revenue recognition", "Order management", "Deal structure", "Pricing", "Contract exceptions" ], "toolProficiency" : [ "Salesforce", "CPQ systems" ], "communicationSkills" : "Written English; Spoken English; Presentations", "continuousLearning" : "Learning budget", "problemSolvingSkills" : "Troubleshooting; Prioritization; Root cause analysis", "qualificationsBasic" : "5+ years experience Deal Desk, 5+ years experience Sales Operations, 5+ years experience Revenue Operations, 5+ years experience Enterprise SaaS, Proven deal desk operator, Track record complex deals, Track record pricing, Track record contract exceptions, Understanding Quote-to-Cash, Understanding revenue recognition, Understanding order management, Deep hands-on Salesforce, Deep hands-on CPQ systems, Troubleshooting SFDC, Workflow optimization SFDC, Excellent communicator, Outstanding written English, Outstanding spoken English, Calm under pressure, Prioritization instincts, Keep team unblocked, Self-starter, Thrives fast-paced environment, Thrives fully remote environment, Thrives globally distributed environment, Demonstrates automation capabilities, Demonstrates AI capabilities", "qualificationsPreferred" : "Previous Lead experience a plus, Previous Supervisor experience a plus, Experience working remotely a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! What this job can offer you A senior IC role with real strategic influence — you'll work directly with the Senior Manager to shape how the Deal Desk operates and evolves The opportunity to lead cross-functional initiatives and drive meaningful process improvements across the Sales organization A clear path towards people management as the team matures A truly async, flexible work environment where ownership and proactivity are valued over process for its own sake What you bring 5+ years of experience in Deal Desk, Sales Operations, Revenue Operations, or a related function in an Enterprise SaaS/B2B company required; previous Lead or Supervisor experience is a plus A proven deal desk operator with a track record of handling complex, high-stakes situations across deal structure, pricing, and contract exceptions Strong understanding of Quote-to-Cash processes, revenue recognition principles, and order management Deep hands-on knowledge of Salesforce (SFDC) and CPQ systems, including troubleshooting and workflow optimization Natural relationship builder with the ability to engage, influence, and collaborate effectively with senior stakeholders across Go-to-Market, Legal, and Finance Data-driven and analytically sharp — you turn deal trends and operational signals into clear recommendations, not just observations Excellent communicator with outstanding written and spoken English Calm under pressure with strong prioritization instincts, able to keep the team unblocked during high-volume periods without dropping quality Self-starter who thrives in a fast-paced, fully remote, and globally distributed environment Demonstrates strong automation and AI capabilities It's not required to have experience working remotely, but considered a plus Key Responsibilities Act as the team's operational leader and the Senior Manager's closest extension — the go-to for escalations, the standard-setter for quality, and the primary mentor for Associates and Specialists Represent the Senior Manager in cross-functional forums with Sales VPs and Sales Leadership — aligning on Deal Desk priorities and surfacing team needs and blockers Serve as a senior point of contact and escalation for complex deals, non-standard pricing requests, and contract exceptions Oversee deal approval processes and pricing compliance, stepping in on escalations and exceptions that require senior judgment Ensure the team maintains SLA standards, stepping in to unblock or resolve complex or time-sensitive cases as needed Act as the eyes and ears of the Sales team — proactively identifying deal friction, recurring blockers, and emerging risks before they escalate Own the working relationship with Legal and Finance on behalf of the Senior Manager — aligning on policy, setting expectations, and ensuring the team has the guidance needed to handle non-standard situations independently Develop and maintain deal playbooks and sales enablement resources, ensuring the Sales team has the guidance they need before they need to ask Build and scale automated workflows that reduce manual effort and allow the team to focus on higher-value work Track Deal Desk performance metrics and deal trends, translating data into actionable recommendations and feeding directly into the Senior Manager's planning and prioritisation Act as the Senior Manager's operational extension — driving the Deal Desk improvement roadmap across processes, tooling, automation, and policy, and leading initiatives through to execution Support month-end and quarter-end close operations to ensure smooth and accurate deal execution Practicals You'll report to: Senior Manager, Deal Commercial Strategy & Operations Team: Revenue Operations — Sales Operations Location: For this position we welcome everyone to apply, but we will prioritise applications from EMEA and AMER as we encourage our teams to diversify Start date: As soon as possible Application process Roughly 6 hours across 3 weeks Interview with recruiter - 30 min Interview with Senior Manager, Deal Commercial Strategy and Operations - 45 min Interview with a cross-functional partner - 30 min (async) Deal Desk case study Case study presentation to Director, Pricing & GTM Finance and Senior Manager, Deal Commercial Strategy and Operations - 45 min Bar raiser interview - 30 min Prior employment verification check #LI_DNP Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change. At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis. The annual salary range for this full-time position is $48,000—$162,000 USD Benefits Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters: work from anywhere flexible paid time off flexible working hours (we are async) 16 weeks paid parental leave mental health support services stock options learning budget home office budget & IT equipment budget for local in-person social events or co-working spaces How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async. You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs. If that sounds like something you want, apply now! How to apply Please fill out the form below and upload your CV with a PDF format. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead. We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to. Please note we accept applications on an ongoing basis.", "summaryDescription" : "Deal Commercial Strategy & Operations Lead at Remote. Skills: Deal Desk Strategy, Sales Operations, Revenue Operations, Process Improvement. Act as operational leader. 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We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! What this job can offer you A senior IC role with real strategic influence — you'll work directly with the Senior Manager to shape how the Deal Desk operates and evolves The opportunity to lead cross-functional initiatives and drive meaningful process improvements across the Sales organization A clear path towards people management as the team matures A truly async, flexible work environment where ownership and proactivity are valued over process for its own sake What you bring 5+ years of experience in Deal Desk, Sales Operations, Revenue Operations, or a related function in an Enterprise SaaS/B2B company required; previous Lead or Supervisor experience is a plus A proven deal desk operator with a track record of handling complex, high-stakes situations across deal structure, pricing, and contract exceptions Strong understanding of Quote-to-Cash processes, revenue recognition principles, and order management Deep hands-on knowledge of Salesforce (SFDC) and CPQ systems, including troubleshooting and workflow optimization Natural relationship builder with the ability to engage, influence, and collaborate effectively with senior stakeholders across Go-to-Market, Legal, and Finance Data-driven and analytically sharp — you turn deal trends and operational signals into clear recommendations, not just observations Excellent communicator with outstanding written and spoken English Calm under pressure with strong prioritization instincts, able to keep the team unblocked during high-volume periods without dropping quality Self-starter who thrives in a fast-paced, fully remote, and globally distributed environment Demonstrates strong automation and AI capabilities It's not required to have experience working remotely, but considered a plus Key Responsibilities Act as the team's operational leader and the Senior Manager's closest extension — the go-to for escalations, the standard-setter for quality, and the primary mentor for Associates and Specialists Represent the Senior Manager in cross-functional forums with Sales VPs and Sales Leadership — aligning on Deal Desk priorities and surfacing team needs and blockers Serve as a senior point of contact and escalation for complex deals, non-standard pricing requests, and contract exceptions Oversee deal approval processes and pricing compliance, stepping in on escalations and exceptions that require senior judgment Ensure the team maintains SLA standards, stepping in to unblock or resolve complex or time-sensitive cases as needed Act as the eyes and ears of the Sales team — proactively identifying deal friction, recurring blockers, and emerging risks before they escalate Own the working relationship with Legal and Finance on behalf of the Senior Manager — aligning on policy, setting expectations, and ensuring the team has the guidance needed to handle non-standard situations independently Develop and maintain deal playbooks and sales enablement resources, ensuring the Sales team has the guidance they need before they need to ask Build and scale automated workflows that reduce manual effort and allow the team to focus on higher-value work Track Deal Desk performance metrics and deal trends, translating data into actionable recommendations and feeding directly into the Senior Manager's planning and prioritisation Act as the Senior Manager's operational extension — driving the Deal Desk improvement roadmap across processes, tooling, automation, and policy, and leading initiatives through to execution Support month-end and quarter-end close operations to ensure smooth and accurate deal execution Practicals You'll report to: Senior Manager, Deal Commercial Strategy & Operations Team: Revenue Operations — Sales Operations Location: For this position we welcome everyone to apply, but we will prioritise applications from EMEA and AMER as we encourage our teams to diversify Start date: As soon as possible Application process Roughly 6 hours across 3 weeks Interview with recruiter - 30 min Interview with Senior Manager, Deal Commercial Strategy and Operations - 45 min Interview with a cross-functional partner - 30 min (async) Deal Desk case study Case study presentation to Director, Pricing & GTM Finance and Senior Manager, Deal Commercial Strategy and Operations - 45 min Bar raiser interview - 30 min Prior employment verification check #LI_DNP Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change. At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis. The annual salary range for this full-time position is $48,000—$162,000 USD Benefits Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters: work from anywhere flexible paid time off flexible working hours (we are async) 16 weeks paid parental leave mental health support services stock options learning budget home office budget & IT equipment budget for local in-person social events or co-working spaces How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async. You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs. If that sounds like something you want, apply now! How to apply Please fill out the form below and upload your CV with a PDF format. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead. Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter. We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to. At Remote, we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here. 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We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! What this job can offer you A senior IC role with real strategic influence — you'll work directly with the Senior Manager to shape how the Deal Desk operates and evolves The opportunity to lead cross-functional initiatives and drive meaningful process improvements across the Sales organization A clear path towards people management as the team matures A truly async, flexible work environment where ownership and proactivity are valued over process for its own sake What you bring 5+ years of experience in Deal Desk, Sales Operations, Revenue Operations, or a related function in an Enterprise SaaS/B2B company required; previous Lead or Supervisor experience is a plus A proven deal desk operator with a track record of handling complex, high-stakes situations across deal structure, pricing, and contract exceptions Strong understanding of Quote-to-Cash processes, revenue recognition principles, and order management Deep hands-on knowledge of Salesforce (SFDC) and CPQ systems, including troubleshooting and workflow optimization Natural relationship builder with the ability to engage, influence, and collaborate effectively with senior stakeholders across Go-to-Market, Legal, and Finance Data-driven and analytically sharp — you turn deal trends and operational signals into clear recommendations, not just observations Excellent communicator with outstanding written and spoken English Calm under pressure with strong prioritization instincts, able to keep the team unblocked during high-volume periods without dropping quality Self-starter who thrives in a fast-paced, fully remote, and globally distributed environment Demonstrates strong automation and AI capabilities It's not required to have experience working remotely, but considered a plus Key Responsibilities Act as the team's operational leader and the Senior Manager's closest extension — the go-to for escalations, the standard-setter for quality, and the primary mentor for Associates and Specialists Represent the Senior Manager in cross-functional forums with Sales VPs and Sales Leadership — aligning on Deal Desk priorities and surfacing team needs and blockers Serve as a senior point of contact and escalation for complex deals, non-standard pricing requests, and contract exceptions Oversee deal approval processes and pricing compliance, stepping in on escalations and exceptions that require senior judgment Ensure the team maintains SLA standards, stepping in to unblock or resolve complex or time-sensitive cases as needed Act as the eyes and ears of the Sales team — proactively identifying deal friction, recurring blockers, and emerging risks before they escalate Own the working relationship with Legal and Finance on behalf of the Senior Manager — aligning on policy, setting expectations, and ensuring the team has the guidance needed to handle non-standard situations independently Develop and maintain deal playbooks and sales enablement resources, ensuring the Sales team has the guidance they need before they need to ask Build and scale automated workflows that reduce manual effort and allow the team to focus on higher-value work Track Deal Desk performance metrics and deal trends, translating data into actionable recommendations and feeding directly into the Senior Manager's planning and prioritisation Act as the Senior Manager's operational extension — driving the Deal Desk improvement roadmap across processes, tooling, automation, and policy, and leading initiatives through to execution Support month-end and quarter-end close operations to ensure smooth and accurate deal execution Practicals You'll report to: Senior Manager, Deal Commercial Strategy & Operations Team: Revenue Operations — Sales Operations Location: For this position we welcome everyone to apply, but we will prioritise applications from EMEA and AMER as we encourage our teams to diversify Start date: As soon as possible Application process Roughly 6 hours across 3 weeks Interview with recruiter - 30 min Interview with Senior Manager, Deal Commercial Strategy and Operations - 45 min Interview with a cross-functional partner - 30 min (async) Deal Desk case study Case study presentation to Director, Pricing & GTM Finance and Senior Manager, Deal Commercial Strategy and Operations - 45 min Bar raiser interview - 30 min Prior employment verification check #LI_DNP Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change. At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis. The annual salary range for this full-time position is $48,000—$162,000 USD Benefits Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters: work from anywhere flexible paid time off flexible working hours (we are async) 16 weeks paid parental leave mental health support services stock options learning budget home office budget & IT equipment budget for local in-person social events or co-working spaces How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async. You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs. If that sounds like something you want, apply now! How to apply Please fill out the form below and upload your CV with a PDF format. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead. Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter. We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to. At Remote, we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here. 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We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! What this job can offer you A senior IC role with real strategic influence — you'll work directly with the Senior Manager to shape how the Deal Desk operates and evolves The opportunity to lead cross-functional initiatives and drive meaningful process improvements across the Sales organization A clear path towards people management as the team matures A truly async, flexible work environment where ownership and proactivity are valued over process for its own sake What you bring 5+ years of experience in Deal Desk, Sales Operations, Revenue Operations, or a related function in an Enterprise SaaS/B2B company required; previous Lead or Supervisor experience is a plus A proven deal desk operator with a track record of handling complex, high-stakes situations across deal structure, pricing, and contract exceptions Strong understanding of Quote-to-Cash processes, revenue recognition principles, and order management Deep hands-on knowledge of Salesforce (SFDC) and CPQ systems, including troubleshooting and workflow optimization Natural relationship builder with the ability to engage, influence, and collaborate effectively with senior stakeholders across Go-to-Market, Legal, and Finance Data-driven and analytically sharp — you turn deal trends and operational signals into clear recommendations, not just observations Excellent communicator with outstanding written and spoken English Calm under pressure with strong prioritization instincts, able to keep the team unblocked during high-volume periods without dropping quality Self-starter who thrives in a fast-paced, fully remote, and globally distributed environment Demonstrates strong automation and AI capabilities It's not required to have experience working remotely, but considered a plus Key Responsibilities Act as the team's operational leader and the Senior Manager's closest extension — the go-to for escalations, the standard-setter for quality, and the primary mentor for Associates and Specialists Represent the Senior Manager in cross-functional forums with Sales VPs and Sales Leadership — aligning on Deal Desk priorities and surfacing team needs and blockers Serve as a senior point of contact and escalation for complex deals, non-standard pricing requests, and contract exceptions Oversee deal approval processes and pricing compliance, stepping in on escalations and exceptions that require senior judgment Ensure the team maintains SLA standards, stepping in to unblock or resolve complex or time-sensitive cases as needed Act as the eyes and ears of the Sales team — proactively identifying deal friction, recurring blockers, and emerging risks before they escalate Own the working relationship with Legal and Finance on behalf of the Senior Manager — aligning on policy, setting expectations, and ensuring the team has the guidance needed to handle non-standard situations independently Develop and maintain deal playbooks and sales enablement resources, ensuring the Sales team has the guidance they need before they need to ask Build and scale automated workflows that reduce manual effort and allow the team to focus on higher-value work Track Deal Desk performance metrics and deal trends, translating data into actionable recommendations and feeding directly into the Senior Manager's planning and prioritisation Act as the Senior Manager's operational extension — driving the Deal Desk improvement roadmap across processes, tooling, automation, and policy, and leading initiatives through to execution Support month-end and quarter-end close operations to ensure smooth and accurate deal execution Practicals You'll report to: Senior Manager, Deal Commercial Strategy & Operations Team: Revenue Operations — Sales Operations Location: For this position we welcome everyone to apply, but we will prioritise applications from EMEA and AMER as we encourage our teams to diversify Start date: As soon as possible Application process Roughly 6 hours across 3 weeks Interview with recruiter - 30 min Interview with Senior Manager, Deal Commercial Strategy and Operations - 45 min Interview with a cross-functional partner - 30 min (async) Deal Desk case study Case study presentation to Director, Pricing & GTM Finance and Senior Manager, Deal Commercial Strategy and Operations - 45 min Bar raiser interview - 30 min Prior employment verification check #LI_DNP Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change. At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis. The annual salary range for this full-time position is $48,000—$162,000 USD Benefits Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters: work from anywhere flexible paid time off flexible working hours (we are async) 16 weeks paid parental leave mental health support services stock options learning budget home office budget & IT equipment budget for local in-person social events or co-working spaces How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async. You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs. If that sounds like something you want, apply now! How to apply Please fill out the form below and upload your CV with a PDF format. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead. Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter. We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to. At Remote, we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here. Please note we accept applications on an ongoing basis.", "summaryDescription" : "Deal Commercial Strategy & Operations Lead at Remote", "postedDate" : "2026-06-16T03:16:00.794", "createdAt" : "2026-06-16T03:16:00.794", "lastUpdated" : "2026-06-16T13:57:13.790", "ingestTimestamp" : "2026-06-16T03:16:00.794", "mongoId" : "6a309d64f292fd229c103065", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210ea374d8ee00a0af89e6", "title" : "Senior Principal Analyst, Responsible AI Strategy", "industry" : "Technology", "salary" : { "min" : 225000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Principal Analyst in the Technology industry in Mountain View, United States, adjusted for seniority and company size." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:36:43.925", "fingerprint" : "f4d6031598528c3c92164e9216f1d9a7693fce796e11503d2efec300dbcec78a", "source" : "google", "language" : "en", "externalId" : "116281184316465862", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Responsible AI strategy", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Responsible AI, Data Science, Machine Learning, Strategy", "majorSkillsList" : [ "Responsible AI", "Data Science", "Machine Learning", "Strategy" ], "coreResponsibilities" : "Develop and implement strategies for responsible AI, Analyze data to identify trends and insights, Build and maintain data models, Collaborate with engineering teams on AI/ML solutions, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Responsible AI; AI ethics; Machine learning governance", "domainList" : [ "responsible-ai", "ai-ethics", "machine-learning-governance" ], "domainSpecificKnowledge" : [ "Responsible AI", "AI ethics", "Machine learning governance" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Present findings", "problemSolvingSkills" : "Data analysis", "qualificationsBasic" : "5+ years of experience in data science, data engineering, ML/AI, BI, analytics engineering, or quantitative analysis, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "summaryDescription" : "Senior Principal Analyst, Responsible AI Strategy. Skills: Responsible AI, Data Science, Machine Learning, Strategy. Develop and implement strategies for responsible AI. Analyze data to identify trends and insights", "postedDate" : "2026-06-16T01:49:07.392", "createdAt" : "2026-06-16T01:49:07.392", "lastUpdated" : "2026-06-16T10:36:43.925", "ingestTimestamp" : "2026-06-16T01:49:07.392", "mongoId" : "6a210ea374d8ee00a0af89e6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Responsible AI", "Data Science", "Machine Learning", "Strategy", "Responsible AI strategy", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "AI ethics", "Machine learning governance", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305046f292fd229ceee644", "title" : "Customer Experience Strategy & Operations Lead", "company" : "Notion", "industry" : "Revenue Operations & Strategy ", "salary" : { "min" : 185000.0, "max" : 265000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Customer Experience Strategy & Operations Lead in New York, United States, adjusted for industry and company size." }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco, California" ], "timestamp" : "2026-06-16T08:49:34.815", "fingerprint" : "e9bd9321e100fdf59c52799d526eb20673d7ef75245cca963c26d71ceceeda37", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/notion/8bb5da67-0b4d-4894-83eb-56d31e9bc662/application", "externalId" : "8bb5da67-0b4d-4894-83eb-56d31e9bc662", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "coreResponsibilities" : "Drive customer success, Manage customer relationships, Ensure customer retention, Improve customer satisfaction, Maximize customer value realization", "remoteFriendly" : false, "rawDescription" : "WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: The CX Strategy & Ops Lead is responsible for designing & executing the customer support strategy to ensure that the company provides an exceptional customer experience at scale. As a strategic partner to CX Leadership, they will partner with cross-functional teams to identify and prioritize customer needs, pain points, and opportunities for improvement, and develop and implement strategies, programs, processes and technology to deliver high-value, personalized support for a diverse array of users. The CX Strategy & Ops Lead will define and track key performance metrics to measure the effectiveness of customer support initiatives; They'll stay up to date on industry trends and best practices in customer support to ensure Notion is at the leading edge. They will identify areas to leverage AI to increase CX efficiency and effectiveness and maximize the impact of our support offering across both digital and human experiences. They will need to have strong project management skills, excellent communication and interpersonal skills, and be able to work collaboratively with cross-functional teams to bring strategies to life. WHAT YOU'LL ACHIEVE: - Own the execution of the customer support strategy to ensure that the company provides an exceptional customer experience at-scale for all Notion users. - Identify and implement operating frameworks to streamline customer support operations - including capacity planning, targeting setting, customer segmentation and targeted CX engagements, etc. - Refine and track key performance metrics (CSAT, FRT, Churn, Usage metrics, etc.) to measure the effectiveness of customer support initiatives. - Build a robust forecasting and analytics process to determine trends across demand, capacity, churn, ticket volume etc. -- and what we should do about it - Help project manage enhancements/changes to tech stack for CX (including Zendesk, Gainsight, Decagon, etc.). - Influence decision making, problem solving, and programs for CX across programs, projects, and teams. - Continuously automate and scale our customer journey, touch-points, triggers, and playbooks. - Introduce and track new metrics to ensure our CX business is performing efficiently, predictably and effectively from a financial perspective - Operate as both an extension of the CX and RevOps Leadership teams to ensure cross-functional alignment with broader GTM and Company strategy - Set annual and semi-annual plans that create customer value at-scale: Guide and define headcount, opex, and OKRs - Serve as a strategic trusted advisor to Head of CX and CX Leadership team SKILLS YOU'LL NEED TO BRING: - 8+ years of experience in customer support and success strategy and operations. - 3+ years of people leadership experience - Passion for improving the Customer Experience and Customer Value - Strong project management skills, with the ability to manage multiple projects simultaneously in a fast-paced, high-growth environment. - Excellent communication and interpersonal skills. You are a skilled dots-connector and expert in working collaboratively with cross-functional teams to get things done. You’re experienced in communicating across levels and audiences, from technical ICs up to C-Suite and/or Board - Strong analytical skills, with the ability to analyze data and make data-driven syntheses, diagnose and scope problems, inform and gain buy-in to recommendations, and track success. - AI-first approach — Experience implementing digital and/or scaled programs to increase efficiency while improving customer outcomes. AI-first approach towards building and implementing RevOps methodologies NICE TO HAVES: - Bachelor's degree in Business Administration, Marketing, or a related field. - Experience leading customer support and success teams - Experience leading data engineering, AI and automation teams - Positive attitude and enthusiasm to make an impact! Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $230,000 - $270,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.", "summaryDescription" : "Customer Experience Strategy & Operations Lead at Notion. Drive customer success. Manage customer relationships", "createdAt" : "2026-06-16T00:26:24.759", "lastUpdated" : "2026-06-16T08:49:34.815", "ingestTimestamp" : "2026-06-16T00:26:24.759", "mongoId" : "6a305046f292fd229ceee644", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 265000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "principal scientist precision medicine strategy lead clinical biomarkers jobs", "metadata" : { "title" : "principal scientist precision medicine strategy lead clinical biomarkers" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 45639, "totalPages" : 913, "hasNext" : true, "hasPrevious" : false } }

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