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Rockville, Maryland, United States; Potomac, Maryland, United States; Herndon, Virginia, United States; Reston, Virginia, United States; Sterling, Virginia, United States; McLean, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "R, S+, Python, SAS", "professionalSkills" : [ "Statistical consultation", "Scientific theories", "Medical practice", "Biomedical information" ], "hardSkillsList" : [ "Statistical data analysis", "Large-scale data analysis", "Analysis of variance", "Probability", "Regression analysis", "Contingency tables", "Survival analysis", "Tests of significance", "Confidence intervals", "Sample size requirements" ], "hardSkills" : [ { "name" : "Statistical data analysis", "level" : "intermediate" }, { "name" : "Large-scale data analysis", "level" : "intermediate" }, { "name" : "Analysis of variance", "level" : "intermediate" }, { "name" : "Probability", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Contingency tables", "level" : "intermediate" }, { "name" : "Survival analysis", "level" : "intermediate" }, { "name" : "Tests of significance", "level" : "intermediate" }, { "name" : "Confidence intervals", "level" : "intermediate" }, { "name" : "Sample size requirements", "level" : "intermediate" } ], "majorSkills" : "Mathematical statistics, Statistical analysis, Data analysis", "majorSkillsList" : [ "Mathematical statistics", "Statistical analysis", "Data analysis" ], "coreResponsibilities" : "Collaborate with investigators on design, Collaborate with investigators on conduct, Collaborate with investigators on interpretation, Collaborate with investigators on analysis, Prepare data for presentation, Prepare results for presentation, Prepare data for publication, Prepare results for publication, Validate scientific theories, Modify scientific theories, Validate methodologies, Modify methodologies, Apply conventional approaches, Apply established methods, Apply established techniques, Apply established solutions, Develop new analytical techniques, Develop new hypotheses, Develop new approaches for studies, Provide statistical consultation, Collaborate with scientists, Select methods of study design, Select methods of data collection, Select methods of summary, Select methods of analysis, Implement methods of study design, Implement methods of data collection, Implement methods of summary, Implement methods of analysis, Apply statistical techniques, Work with investigators to turn objectives into hypotheses, Determine data allow hypotheses to be tested, Evaluate methodologies used, Ensure results are valid, Ensure results are reliable, Resolve technical problems in data collection, Assist in development of quality control procedures, Assist in implementation of quality control procedures, Assist in development of study-monitoring procedures, Assist in implementation of study-monitoring procedures, Contribute to initiation of research projects, Participate in branch data discussions, Participate in branch results discussions, Contribute to writing scientific papers, Contribute to editing scientific papers, Keep abreast of statistical developments, Review literature, Attend professional meetings, Attend conferences, Attend symposia", "teamCollaboration" : "Collaborate with investigators; 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This is a full-time, on-site opportunity in Bethesda, MD. * Collaborate with investigators on the design, conduct, interpretation, and/or analysis of direct-data projects to answer questions regarding heart, lung, and blood diseases and major risk factors to account for previously unexplained phenomena and/or open significant new avenues for further study. * Prepare data and/or results for presentation and/or publication in collaboration with investigator(s). * Validate or modify scientific theories or methodologies relating to topic areas to result in improved understanding of techniques or medical practice. * Apply conventional, established approaches, methods, techniques, and solutions to new situations or develop new analytical techniques. * Develop new hypotheses and approaches for studies using state-of-the-art methods as appropriate. * Provide expert statistical consultation to and collaborate with scientists within the NHLBI and associated research groups. * Select and implement appropriate methods of study design, data collection, summary, and analysis in the biological and medical sciences. * Apply a variety of statistical techniques such as analysis of variance, probability, regression analysis, contingency tables, survival analysis, tests of significance, confidence intervals, and sample size requirements for clinical data. * Work with investigators to turn general research objectives into well-defined scientific and testable statistical hypotheses. Determine whether the available data or the data to be collected will allow the hypotheses to be tested. * Evaluate methodologies used and ensure results are valid and reliable. * Resolve technical problems in collection of biomedical information data. * Assist in the development and implementation of quality control and other study-monitoring procedures. * Contribute to the initiation of research projects in the application or modifications of mathematical statistics required for data analysis or for statistical investigations. * Participate in regularly scheduled branch meetings; discuss data and/or results. * Contribute to the writing and editing of scientific papers. * Keep abreast of statistical developments through review of literature, attending professional meetings, conferences, and symposia. * Other duties as assigned. ** _What You Will Need_ :** * PhD in statistics or related field OR Master’s degree plus three (3) years of statistical data analysis experience in lieu of PhD. * Experience working with statistical software such as R or S+, Python, and/or SAS. * Significant experience in large-scale data analysis. * Must be able to obtain and maintain a Federal or DoD “public trust”; candidates must receive approved adjudication prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred. * Incumbent capture – no other candidates were considered due to an identified incumbent who meets the labor category requirements provided by the customer ** _What Would Be Nice To Have_ :** * Knowledge of Microsoft 365 * Excellent analytical, organizational, and time-management skills. * Strong communications skills, both oral and written. The annual salary range for this position is $74,000.00-$124,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. _**What We Offer:**_ Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Parental Leave * 401(k) Retirement Plan * Group Term Life and Travel Assistance * Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts * Transit and Parking Commuter Benefits * Short-Term & Long-Term Disability * Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Care.com annual membership * Employee Assistance Program * Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.) * Position may be eligible for a discretionary variable incentive bonus _**About Guidehouse**_ Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [RecruitingAccommodation@guidehouse.com](mailto:RecruitingAccommodation@guidehouse.com). All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [guidehouse@myworkday.com](mailto:guidehouse@myworkday.com). Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [recruiting@guidehouse.com](mailto:recruiting@guidehouse.com). Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. _Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee._", "summaryDescription" : "Mathematical Statistician at Guidehouse. Skills: Mathematical statistics, Statistical analysis, Data analysis. Collaborate with investigators on design. 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Partner teams; External stakeholders", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Live television; Digital supply chain; Linear operations; Prime Video; Metadata quality; Media and metadata partners; Onboarding processes; Publishing processes; Live streaming content", "domainList" : [ "live-television", "digital-supply-chain", "linear-operations", "prime-video", "metadata-quality", "media-and-metadata-partners", "onboarding-processes", "publishing-processes", "live-streaming-content" ], "domainSpecificKnowledge" : [ "Live television", "Digital supply chain", "Linear operations", "Prime Video", "Metadata quality", "Media and metadata partners", "Onboarding processes", "Publishing processes", "Live streaming content" ], "toolProficiency" : [ "Excel", "Pivot Tables", "SQL", "Tableau" ], "communicationSkills" : "Communicate technical concepts", "problemSolvingSkills" : "Analytical", "qualificationsBasic" : "2+ years program management experience, 2+ years cross-functional experience, 2+ years process improvement experience, Stakeholder management experience, Coordinate cross-functional inputs, Meet deadlines, Manage competing priorities, Bachelor's degree or equivalent experience, Experience at studio or network, Knowledge of automation or workflow management", "qualificationsPreferred" : "2+ years end to end delivery experience, Communicate results to senior leadership, Deal well with ambiguity, Prioritize needs, Deliver measurable results in agile environment, Experience with digital media workflows, Experience with post production, Data analysis experience, Communicate technical concepts to non-technical audience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come build the future of entertainment with us. Are you interested in shaping the future of how customers discover and experience live television? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events like Thursday Night Football and broadcasts of traditional television stations. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The Linear Operations team enables the seamless delivery of television channels and pop-up stations on Prime Video through end-to-end channel lifecycle management, metadata orchestration, and quality assurance, supporting over 20+ global marketplaces. We're pioneering a new generation of digital supply chain to accelerate our market position and global reach. We are seeking a talented Digital Supply Chain Manager who can help support our future as we grow our business around the world. If you are analytical and able to think big, with a passion for TV and movies, come join our highly collaborative team. You will have the opportunity to drive programs and grow professionally alongside your colleagues and own projects. This role is located in Seattle, WA or Los Angeles, CA. Seattle preferred. Key job responsibilities • Collaborate with product management, engineering, merchandising, operations, program teams, and external stakeholders to launch linear channels on Prime Video • Track progress against goals and metrics, escalating obstacles to leadership to achieve program objectives • Maintain reporting and dashboards for critical metrics, providing regular updates to management • Execute programs with guidance from senior team members, managing content delivery and publishing workflows • Identify operational roadblocks and build a backlog of tooling improvements • Build relationships with partner teams and digital provider representatives • Monitor metadata quality initiatives and systems to enhance customer experience • Participate in process improvement efforts to optimize cross-team processes and improve delivery • Partner with teams in India and Costa Rica to identify, standardize, and hand over tasks that drive efficiencies and scale operations A day in the life You will help define and execute programs to bring new linear channels to Prime Video, delivering a best-in-class customer experience through accurate and timely metadata. A successful candidate will be detail-oriented, analytical, customer-focused, and team-oriented, with strong organizational skills and the ability to meet deadlines. About the team We manage programs and workflows that deliver live streaming content to Amazon customers. We interact with media and metadata partners, manage onboarding and publishing processes, and define operational procedures to deliver engaging content to Prime Video customers. We build diverse teams where all voices rally around the customer to deliver delightful experiences. We seek people who want to shape both the customer experience and team culture. Basic Qualifications: - 2+ years of program or project management experience - 2+ years of working cross functionally with tech and non-tech teams experience - 2+ years of defining and implementing process improvement initiatives using data and metrics experience - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization - Experience coordinating cross-functional inputs, meeting deadlines, and effectively managing competing priorities - Bachelor's degree or equivalent, or 2+ years of equivalent experience - Experience working at either a studio or cable/premium television network - Knowledge of large scale automation and workflow management or equivalent Preferred Qualifications: - 2+ years of driving end to end delivery, and communicating results to senior leadership experience - Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment - Experience with a variety of digital media workflows and post production - Experience in data analysis using tools such as Excel, Pivot Tables, SQL, Tableau, or equivalent - Experience communicating technical concepts to a non-technical audience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Culver City - 70,400.00 - 105,000.00 USD annually USA, WA, SEATTLE - 80,200.00 - 105,000.00 USD annually", "summaryDescription" : "Digital Supply Chain Mgr, Linear Ops, PV Sports and Linear Tech at Amazon.com Services LLC. Skills: Program management, Process improvement, Stakeholder management. Collaborate with product management, engineering, merchandising, operations, program. 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Cross-functional environment; Work alongside researchers; Work with biologists; Work with bioinformaticians; Work with engineers", "domainKnowledge" : "Beyond Known Biology; Biological dataset; Genetic diversity; Protein sequences; Biological systems; Therapeutic research; Genomics; Sequence modeling; Large-scale deep learning; Unexplored ecosystems", "domainList" : [ "beyond-known-biology", "biological-dataset", "genetic-diversity", "protein-sequences", "biological-systems", "therapeutic-research", "genomics", "sequence-modeling", "large-scale-deep-learning", "unexplored-ecosystems" ], "domainSpecificKnowledge" : [ "Beyond Known Biology", "Biological dataset", "Genetic diversity", "Protein sequences", "Biological systems", "Therapeutic research", "Genomics", "Sequence modeling", "Large-scale deep learning", "Unexplored ecosystems" ], "continuousLearning" : "Coaching available; Personal development", "innovationCreativity" : "Frontier AI models; Novel protein sequences; Novel biology", "problemSolvingSkills" : "Rigorous quantitative thinking; Mathematical structure to hard problems", "outcomesObjectives" : "Accelerate therapeutic research; Accelerate development; See work translated into models; Generate genuinely novel biology", "qualificationsBasic" : "PhD in mathematics, PhD in physics, Publication record at top ML venues", "qualificationsPreferred" : "Experience training models at large scale, Domain knowledge in life sciences, Domain knowledge in genomics, Domain knowledge in computational biology, Familiarity with protein structure, Familiarity with molecular dynamics, Familiarity with biophysical methods, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT US Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development. In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges. If you feel passionate about the power of biology, data, and AI to build a better world, we'd love to hear from you. THE ROLE We are looking for a Senior Research Scientist to join our AI Research team in London. You will work at the intersection of mathematics and machine learning, bringing rigorous quantitative thinking to some of the most challenging problems in biological AI. Our research group is small, collaborative, and operates more like a frontier research lab than a typical biotech team. We train large-scale foundation models on the world's largest and richest metagenomic datasets, and we look for people who can push the mathematical boundaries of what these models can learn and represent. The work requires developing new methods and theories from scratch. This is a role with real ownership. You will shape a research direction within the team, publish at top venues, and see your work translated into models that generate genuinely novel biology. The problems are hard, the data is unique, and the impact is tangible. You'll be reporting to the Head of AI Research and working alongside researchers covering genomics, sequence modeling, and large-scale deep learning, as well as biologists, bioinformaticians, and engineers across the wider company. ABOUT YOU PhD in mathematics, physics, or a closely related quantitative field. Your work in AI and machine learning is driven by curiosity, and you've brought a depth of mathematical thinking that clearly distinguishes your work. You have spent meaningful time on frontier research and you already have an understanding of how top research teams operate, from problem selection to large-scale experimentation to shipping results that matter. Your research interests might span generative models, geometric deep learning, probabilistic modeling, dynamical systems, information geometry, optimization theory, or related areas. What matters most is that you think from first principles and bring mathematical structure to hard problems. You have a strong publication record at top ML venues (NeurIPS, ICML, ICLR, or equivalent) that demonstrates independent thinking and a coherent research arc. You are genuinely curious about biology. Domain expertise is welcome, and what we really care about is that you find it exciting to work with data from unexplored ecosystems encoding billions of years of evolutionary optimization. The best candidates will see biological data as a source of fundamentally new scientific questions. You have low ego, strong collaborative instincts, and a startup mentality. You are comfortable with ambiguity, willing to iterate fast, and happy to work in a small team where everyone contributes across boundaries. NICE TO HAVE Experience training models at large scale (billions of parameters, extreme long context, distributed training, custom architectures). Domain knowledge in life sciences, genomics, or computational biology, e.g., familiarity with protein structure, molecular dynamics, or related biophysical methods. WHAT WE OFFER IN RETURN - Impactful Mission: This is a rare chance to do work that genuinely matters. You'll join a talented, fast-moving team, access unique biological datasets at scale, and see your contributions shape real breakthroughs in AI and curative therapeutics.. - Collaborative Culture: You'll be surrounded by world-class engineers, scientists, and researchers who care deeply about their work and about each other. With offices in London and Boston, we've built a flexible, cross-functional environment where personal development and real ownership aren't just talking points. - High Growth: We truly believe in investing our people we make coaching available to team members during steep growth journeys and we have twice yearly promotion opportunities. People who are really successful here own it and go directly to solve problems at pace and we ensure reward increases with impact. - Comprehensive Benefits: We've built a benefits package people value. That means competitive salary, equity, and private healthcare with no medical history exclusions so strong that means most employees' family members opt into our plan over their own. We also offer Carrot Fertility with IVF stipend, salary sacrifice pension, bike to work scheme, life insurance, and more. 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With linear streaming projected to grow 64% over the next two years, we are building next-generation catalog and delivery systems that expand the global selection of TV and movies, enable smarter ad targeting, and deliver a best-in-class live and linear experience to Prime Video customers worldwide. We are looking for strong developers who are passionate about delivering excellent digital media experiences at massive scale. You will work alongside Principal and Senior Engineers to build high-speed data delivery systems, create simple solutions for complex media ingestion and publishing workflows, and develop the catalog intelligence that powers personalized ad placement and broader content discovery across international markets. Key job responsibilities Design and build scalable systems that ingest, enrich, and publish linear and live catalog metadata at high throughput and low latency Develop catalog capabilities that enable improved ad targeting through precise content signals, audience metadata, and contextual relevance Drive initiatives to increase the global selection of TV shows and movies available across linear channels, FAST offerings, and live sports Simplify complex media workflows to accelerate station onboarding and content availability across 18+ territories Collaborate cross-functionally with personalization, advertising, sports, and content teams to ensure catalog data fuels discovery, recommendations, and monetization Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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Program finance teams; Estimating teams; Engineering teams; Peers; Senior leadership", "domainKnowledge" : "Government acquisition processes; Department of Defense acquisition", "domainList" : [ "government-acquisition-processes", "department-of-defense-acquisition" ], "domainSpecificKnowledge" : [ "Government acquisition processes", "Department of Defense acquisition" ], "toolProficiency" : [ "SEER", "TruePlanning", "@RISK" ], "communicationSkills" : "Communicate findings; Communicate recommendations; Present analysis; Communicate data; Communicate insights", "problemSolvingSkills" : "Problem-solving; Creative problem solving; Resourceful problem solving", "specialRequirements" : "Ability to travel, Obtain security clearance, U.S. Person required", "qualificationsBasic" : "Master's Degree or higher, 10+ years aerospace/defense industry, 10+ years statistical methods, 10+ years Microsoft Office, Present analysis to executives", "qualificationsPreferred" : "Master's in quantitative field, Parametric modeling experience, Proficiency with statistical software, Analyze large datasets, Risk analysis experience, ICEAA Certification, Defense Acquisition University certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Mathematics and Modeling Estimating Lead **Company:** The Boeing Company Boeing's Finance Shared Services is looking for a **Mathematics and Modeling Estimating Lead** to join our Independent Estimating, Analytics, & Data Intelligence Team at one of our major Boeing Defense sites in **Mesa, AZ**. Our team seeks a resourceful cost-estimating analyst to develop and maintain independent cost estimates, Estimates at Complete (EAC), and Rough Order of Magnitudes (ROM) that inform strategic proposals and decisions across Boeing Defense, Space & Security and Boeing Global Services. The role combines data analysis, parametric modeling (e.g., SEER, TruePlanning), statistical methods, and risk analysis to produce data-driven estimates, build and enhance estimating databases and tools, and solve problems in data-limited environments. The analyst will collaborate closely with program finance, estimating, and engineering teams, communicate findings and recommendations clearly to executives, and contribute to the organization’s research and estimating strategy. Our ideal candidate is a curious, collaborative problem-solver with strong leadership and communication skills and a team-first mindset. They bring excellent presentation abilities, clearly communicating data, insights, and concise recommendations to peers and senior leadership. Comfortable working in data-limited environments, they solve problems creatively and resourcefully. They have hands-on experience with parametric modeling and estimating, and possess aerospace industry experience and/or familiarity with Government/Department of Defense acquisition processes. **Position Responsibilities:** * Consults large cross-functional teams to understand complex Estimating requirements and processes and be able to translate them to scalable, best-in-class solutions * Applies cost modeling techniques within the evaluation of proposal strategies * Applies statistical analysis to data sets to support the development of complex estimating methodologies * Conveys complex analysis and recommendations in an easily digestible format across various functions * Develops analytical and/or innovative estimating solutions when datasets are limited or imperfect * Performs complex analysis, consults team members and leadership regarding recommendations in support of estimating and pricing methodologies, tools, and processes * Leads and develops complex estimates while training less senior team members **Basic Qualifications (Required Skills/Experience):** * Master's Degree or higher * 10+ years of experience in the aerospace and/or defense industry * 10+ years of experience working with statistical methods (i.e., segmentation models, regression analysis, trend analysis, etc.) * 10+ years of experience using all the following Microsoft Office Tools (Word, Excel and PowerPoint) * Experience presenting analysis and making recommendations to executive leadership **Preferred Qualifications (Desired Skills/Experience):** * Master's Degree or higher in an engineering or quantitative field (e.g. statistics, operations research, information systems, bioinformatics, economics, computational biology, computer science, mathematics, physics, chemistry or similar quantitative fields) * Experience with parametric modeling and estimating (commercial tools such as SEER or TruePlanning, and/or custom models) * Proficiency with statistical software * Proven experience analyzing large datasets * Experience with risk analysis and risk analysis software such as @RISK * Cost Certification: ICEAA Certification (CCEA, PCEA, SCEC), Defense Acquisition University, or other related certification * Ability to travel **Conflict of Interest:** Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process. **Drug Free Workplace:** Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. **Pay and Benefits:** At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $182,750 - $247,250 **Language Requirements:** Not Applicable **Education:** Master's Degree or Equivalent **Relocation:** Relocation assistance is not a negotiable benefit for this position. **Export Control Requirement:** This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. **Safety Sensitive:** This is not a Safety Sensitive Position. **Security Clearance:** This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Shift 1 (United States of America) **Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud** \\- [Recruitment Fraud Warning](http://www.boeing.com/careers/recruitment-fraud-warning.page) Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. [EEO is the law](http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf) [Boeing EEO Policy](https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf) [Request an Accommodation](http://www.boeing.com/careers/request-accommodation.page) [Applicant Privacy](http://www.boeing.com/careers/privacy-statement.page) **Boeing Participates in E – Verify** * [E-Verify (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf) * [E-Verify (Spanish) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf) **Right to Work Statement** * [Right to Work (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf) * [Right to Work (Spanish)](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf)", "summaryDescription" : "Mathematics and Modeling Estimating Lead at Boeing. Skills: Cost estimating, Parametric modeling, Statistical analysis, Risk analysis. Consult cross-functional teams. 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Data Management; Clinical Operations; Regulatory teams", "projectManagementSkills" : [ "Manage complex studies" ], "domainKnowledge" : "CDISC standards; Regulatory guidelines; Submission requirements; Clinical development programs", "domainList" : [ "cdisc-standards", "regulatory-guidelines", "submission-requirements", "clinical-development-programs" ], "domainSpecificKnowledge" : [ "CDISC standards", "Regulatory guidelines", "Submission requirements", "Clinical development programs" ], "toolProficiency" : [ "SAS" ], "documentationSkills" : "Define.xml; Reviewer's guides", "problemSolvingSkills" : "Propose efficient solutions", "outcomesObjectives" : "Ensure high-quality deliverables", "qualificationsBasic" : "Bachelor's or Master's degree, Extensive statistical programmer experience, Principal-level responsibilities, SDTM and ADaM dataset development, TLF programming, Regulatory submission deliverables, Expert SAS proficiency, Advanced SAS Macros proficiency, In-depth CDISC standards knowledge, Manage complex studies independently", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Position Summary** We are seeking a **Principal Statistical Programmer** to provide **full end‑to‑end statistical programming support** across clinical development programs. This role requires deep technical expertise, leadership, and hands‑on delivery, covering **SDTM, ADaM, TLF development, and regulatory submission support**. The Principal Statistical Programmer will serve as a subject matter expert, ensure high‑quality deliverables, and contribute to programming standards and best practices. **Key Responsibilities** * Provide **end‑to‑end statistical programming support** for clinical studies from study setup through submission * Lead and perform development and validation of: * **SDTM datasets** * **ADaM datasets** * **Tables, Listings, and Figures (TLFs)** * Ensure all deliverables are compliant with **CDISC standards** and regulatory requirements * Support **regulatory submissions** (e.g., FDA, EMA), including define.xml, submission‑ready datasets, and reviewer’s guides * Serve as a **Principal‑level programmer** , providing technical leadership and guidance to other programmers as needed * Contribute to and help maintain **programming standards, macros, and validation processes** * Review and approve programming deliverables to ensure accuracy, consistency, and quality * Collaborate closely with Biostatistics, Data Management, Clinical Operations, and Regulatory teams * Proactively identify risks and propose efficient, compliant solutions within timelines **Required Qualifications** * Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Life Sciences, or related field * Extensive experience as a **statistical programmer** , with demonstrated **Principal‑level responsibilities** * Strong hands‑on experience with: * **SDTM and ADaM** dataset development * **TLF programming** * **Regulatory submission deliverables** * Expert proficiency in base SAS**and Advanced SAS with good hands on SAS Macros** * In‑depth knowledge of **CDISC standards** , regulatory guidelines, and submission requirements * Proven ability to manage complex studies independently from start to finish IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at [https://jobs.iqvia.com](https://jobs.iqvia.com/) IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. The potential base pay range for this role, when annualized, is $98,200.00 - $273,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.", "summaryDescription" : "Principal Statistical Programmer at IQVIA. Skills: Statistical programming, SDTM, ADaM, TLF development. Provide end-to-end statistical programming support. 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Software development teams; QA teams; Project Management teams; Release Management teams; Build teams; Release teams", "projectManagementSkills" : [ "Rollout planning" ], "domainKnowledge" : "Live sports streaming; Distributed systems; Cloud infrastructure", "domainList" : [ "live-sports-streaming", "distributed-systems", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Live sports streaming", "Distributed systems", "Cloud infrastructure" ], "communicationSkills" : "Communicate clearly; Communicate concisely", "continuousLearning" : "Continue learning", "innovationCreativity" : "Innovative technologies; Creative solutions", "problemSolvingSkills" : "Creative solutions; Scalable solutions; Difficult problems", "outcomesObjectives" : "Deliver best-in-class infrastructure; Optimize delivery at scale; Improve velocity of delivery; Services on 24/7; Services error-free 24/7", "qualificationsBasic" : "3+ years software development experience, 2+ years design or architecture experience, Experience programming at least one language", "qualificationsPreferred" : "3+ years full software development life cycle experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Love sports? Want to change the world? Prime Video is re-inventing the live sports experience by merging high-quality live streaming, immersive interactive features, and exclusive access to some of the world's most loved sports properties - including the NFL, NBA, English Premier League and UEFA Champions League soccer, Rolland-Garros (French Open), the US Open and more. Every day we face the challenges of a fast-paced market and expanding technology set. And we're building at a scale only Amazon is capable of. The Prime Video Sports team is a single-threaded-owner, uniquely positioned to execute our vision across the entire Prime Video stack to deliver the most compelling new experiences to our customers. If this sounds like the type of experience you'd like to help build - apply here and let's chat! Who we are: We are deeply connected with the idea that live sports events are fundamentally different: there is only one shot at delivering the moment until it is forever lost. Our mission is to make sure that our customers never miss a single moment of the sports they love. To do this we need to deliver best-in-class live sports infrastructure, testing, monitoring, and operations to optimize the delivery of live sports experiences at scale. Our team engineers for speed, quality, availability, and scale. As Prime Video has grown, we've increased the depth and breadth of video products we support, with a corresponding increase in the associated size and complexity of our engineering activity and the load on our services. Our goal is to adapt our architecture to maintain and improve our velocity of delivery for customers in the face of these changes, and for our services to be on and error-free 24/7, especially for high-profile, exclusive content. With AI as a transformative force, we're at an inflection point that enables us to unlock new opportunities in predictive analytics, automated defect analysis and mitigation, and automated operations that were previously beyond our reach. What we're looking for: We are looking for an experienced Software Development Engineer that's excited to build innovative technologies that define the future of live streaming. Successful candidates for this position demonstrate ability to multi-task, quickly adapt to new development environments and changing business requirements, learn new systems, create reliable/maintainable code, find creative and scalable solutions to difficult problems, and ability to communicate clearly and concisely both written and orally. If you are the one that’s excited about entrepreneurial thinking, creating technology solutions for complex problems we want to hear from you. What you will do here: You will provide technical leadership and vision to the experiences and services teams. You will ensure that the best engineering practices are followed and that our software is designed to be responsive, reliable, and maintainable. You will work closely with other teams in Prime Video and Amazon to architect solutions that will scale to hundreds of millions of customers. What you will get from us: A great team to work with and the chance to build a top tier services at a proven top tier company. You will get a startup like culture with the stability of an established industry leader. You will get support and resources from some of the smartest people in the industry to continue learning. Key job responsibilities 1. Define, design, and implement multi-tier distributed services and customer experiences 2. Be involved in designing, implementing, and testing of major features 3. Estimate engineering effort, plan implementation, and rollout system changes that meet requirements for functionality, performance, scalability, reliability, and adherence to development goals and principles. 4. Effectively collaborate in a fast-paced environment with multiple teams in large organization (software development, QA, Project/Release Management, Build and Release, etc). Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, Prime Video Sports, News and Linear at Amazon Dev Center India. Skills: Software development, Live streaming, Distributed systems. Provide technical leadership. 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Collaboration across divisions; Community-engaged service; Community-engaged research", "domainKnowledge" : "Mathematics; Data Science; Calculus; Residential school programs", "domainList" : [ "mathematics", "data-science", "calculus", "residential-school-programs" ], "domainSpecificKnowledge" : [ "Mathematics", "Data Science", "Calculus", "Residential school programs" ], "communicationSkills" : "Parent communication; Student feedback", "documentationSkills" : "Syllabus creation; Administrative materials creation", "continuousLearning" : "Professional development; Personal intellectual growth", "innovationCreativity" : "Designing new courses", "specialRequirements" : "Event participation (two Saturdays/year), Social responsibilities, Recreational responsibilities, Advisory responsibilities", "qualificationsBasic" : "Master's degree in related field, Previous teaching experience in mathematics, Precalculus level or above teaching experience", "qualificationsPreferred" : "Experience teaching Calculus, Experience teaching Data Science, Experience teaching advanced mathematics, Experience using educational technology, Commitment to designing new courses, Willingness to participate in residential school programs", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Agency** North Carolina School of Science , Math **Division** VC for Academic Programs **Job Classification Title** Instructor (NS) **Position Number** 65033838 **Grade** FLATRATE **About Us** [ _North Carolina School of Science and Mathematics (NCSSM)_](https://www.ncssm.edu/) a constituent of the University of North Carolina System, is a world-class public high school with statewide reach empowering academically talented students from every corner of the state to design their own future. We offer our Residential high school program in Durham and Morganton for juniors and seniors, our Online supplementary honors program, and individual virtual daytime Connect courses in partnership with local high schools, all tuition free. Our wide array of summer offerings for rising fifth- through 12th-graders includes free opportunities for in-state students alongside paid options for students from anywhere in the world. Specializing in science, technology, engineering, and math and embracing the fine arts and humanities, NCSSM has become the model for 18 such specialized schools around the globe since its founding in 1980. For more information visit [_ncssm.edu_](https://www.ncssm.edu/). All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity or expression, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran or national guard. If you are an individual with disabilities requiring accommodations in the application and interview process, please contact us at [_hr @ncssm.edu_](mailto:hr@ncssm.edu). **Description of Work** CLOSING DATE: Sunday, June 21 at 11:59pm EST POSITION TYPE: EHRA Faculty, 10-month, FLSA Exempt, 1.0 FTE NCSSM and the Academics Programs Division foster an environment of collaboration across departments and divisions and support community-engaged service and research. NCSSM is proud of the diversity of its student body and we seek to attract an equally diverse application pool for this position. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity or expression, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran or national guard. If you are an individual with disabilities requiring accommodations in the application and interview process, please contact us at hr@ncssm.edu. Description of Duties: The position is a full-time, 10-month appointment in the Department of Mathematics at the NCSSM-Morganton campus, with full benefits through the state of North Carolina. This position reports to the Morganton Chair of Mathematics and is responsible for providing instruction for assigned courses. **Knowledge Skills and Abilities/Management Preferences** ** _HIRING SALARY RANGE_**:** **Commensurate with education and experience ** _EXPECTED START DATE:_ **August 5, 2026 Responsibilities include: * Plan and develop an instructional program that helps students assimilate specific course content and skills; * Develop and communicate to students clear course objectives and goals; * Participate in discipline and multi-section course meetings; * Create a syllabus and other required administrative documents; * Take attendance and enforce the attendance policy; * Grade and provide feedback to students in a timely manner, and submit grade reports on time with sufficient comments when required; * Communicate with parents and support team when necessary; * Hold at least three office hours per week and hold tutorial sessions as outlined by the department; * Structure and manage an environment conducive to learning; * Model for students responsibility to self and others; * Follow the school’s mission, policies, and procedures; * Engage in both January terms by proposing and teaching approved January Term courses; * Participate in foundational duties for all faculty including required meetings, academic advising, event participation (at least two Saturdays per year), professional development and outreach, written appraisals/evaluations, and involvement in the NCSSM community; * Serve on departmental, faculty, and school-wide standing committees; * Write recommendations for up to 15 students each year, as requested; * Participate in professional development and personal intellectual growth activities; * Participate in one or more of the following professional duties: * Provide information, service, and expertise to other schools and organizations; * Assist students on special projects, independent and individual study, and seminar-based studies; * Participate in the admissions process by recruiting, selecting, and advising prospective students; * Participate in NCSSM alumni activities; * Provide assistance for school-sponsored programs and extracurricular activities. **_Knowledge, Skills, and Abilities_**:**** Competitive candidates will have experience teaching courses in Calculus, Data Science, or other advanced mathematics coursework; experience in using educational technology; commitment to designing new curriculum; and a willingness to participate in residential school programs including social, recreational, and advisory responsibilities at times other than usual school hours. **_Team NCSSM Benefits_** * **Free On-campus Parking** * **Vacation:** EHRA Faculty earn from 14 days to 26 days per year based on years of state service (part-time employees are pro-rated). Leave is earned monthly. * **Sick Leave:** 12 days per year. * **Additional Leave:** Family Medical Leave (FMLA), Paid Parental Leave (PPL), Civil Leave, Extended Illness, Short/Long Term Disability, Family Illness Leave, Military Leave, Community Service Leave, Voluntary Shared Leave and Leave Without Pay. * **Holidays** : 12 days per year * **Benefits:** The University System offers eligible employees a flexible and comprehensive benefits package, including but not limited to University-provided group life insurance, various retirement savings options, group health plan coverage, dental, vision, critical illness, cancer, flexible spending accounts, accident, disability coverage, educational assistance, and more. These programs can help employees achieve retirement savings and career goals, as well as assistance with meeting everyday health and educational needs. The benefits programs are designed for employees to tailor a benefits package that best meets their needs. * **Health Insurance:** Employee only coverage under the [State Health Plan](https://www.shpnc.org/) (PPO) is provided to employees that work 30 or more hours a week. The cost is determined by the type of coverage elected by the employee. Dependent coverage is available by payroll deduction. * **Retirement:** Required participation for all employees working 3/4 time or more. Option (1) Teachers’ and State Employees’ Retirement System [_(TSERS)_](https://myapps.northcarolina.edu/hr/benefits-leave/retirement/) requires 6% of gross salary. Employees are vested for retirement after 5 years. Option (2) The Optional Retirement Program [_(ORP)_](https://myapps.northcarolina.edu/hr/benefits-leave/retirement/) requires 6% of gross salary. Employees in ORP are vested after 5 years of participating in ORP. As a participant in either retirement program, you are automatically covered for short-term disability (eligible after 1 year of service/no cost), long term disability (eligible after 5 year of service/no cost). Death benefit of minimum $25,000/maximum $50,000 based on previous 12 month salary (eligible after 1 year of service/no cost). * **Supplemental Retirement Plans:** [_Supplemental retirement plans_](https://myapps.northcarolina.edu/hr/benefits-leave/retirement/) provide an additional opportunity to help you reach your retirement goals. Supplemental Plan offerings such as a 401(k), 403(b), or 457(b) on a Roth (after-tax) or pre-tax contributions. * **Tuition Waiver** : Three courses per academic year tuition free (at any of UNC 17 campuses that offer courses) for permanent full-time employees. * **State Employees Credit Union:** Membership welcomed. Contact the [SECU Credit Union](https://www.ncsecu.org/Home/ContactUs.html) for information. * **Community Service:****** 24 hours leave credited each calendar year (prorated for part-time) unless you choose the Mentoring/ tutoring option – 1 hour each week up to a max of 36 hours that schools are in session as documented by the elected board of the local education agency or the governing authority of any non-public school. * **Facilities:** Library & Gymnasium - other athletic facilities available at no cost to employees. Cafeteria on site. _About NCSSM_ : [_North Carolina School of Science and Mathematics_](https://www.ncssm.edu/) (NCSSM) is a world-class public high school with statewide reach empowering academically talented students from diverse backgrounds from every corner of the state to design their own future. We offer residential high school programs in Durham and Morganton for juniors and seniors or virtual high school courses and programs that students can take alongside their local curriculum, all tuition free. Our wide array of summer offerings for rising 5th- through 12th-graders includes free opportunities for in-state students alongside paid options for students from anywhere in the world. NCSSM Extended Learning partners with communities and regions to advance student learning and outcomes. Specializing in science, technology, engineering, and math, and embracing the fine arts and humanities, NCSSM has become the model for 18 such specialized schools around the globe since its founding in 1980 and is a full constituent of the University of North Carolina System. NCSSM’s [_Ignite + Transform comprehensive campaign_](http://ignite.ncssm.edu) seeks to raise $50 million in private support for our mission. The new NCSSM-Morganton campus opened in 2022 for summer programs and its first fall academic term. NCSSM-Morganton focuses on the booming fields of data science and artificial intelligence, preparing the leaders of tomorrow to navigate a future driven by data and machine learning, with emphasis on the humanistic implications and ethical use of these tools. Nearly two-thirds of NCSSM graduates earn a bachelor’s degree in a STEM field -- over three times the national average, including 58 percent of our underrepresented minority graduates, which is nearly four times the national average. Nearly three-quarters have earned or are seeking a graduate degree. A 2020 economic impact study found that 54 percent of our alumni continue to live and work in North Carolina, catalyzing nearly $1.3 billion in annual economic activity. NCSSM values the diversity in our student body, and all members of the NCSSM community are expected to foster a safe environment of respect and inclusion for all faculty, staff, and students. **Minimum Education and Experience** Some state job postings say you can qualify by an “equivalent combination of education and experience.” If that language appears below, then you may qualify through EITHER years of education OR years of directly related experience, OR a combination of both. See the Education and Experience Equivalency Guide for details. **_Minimum Education and Experience_**:**** A Master’s degree in a related field and previous teaching experience in mathematics at the Precalculus level or above required. **Please ensure that you attach a _cover letter, CV, and statement of teaching philosophy_ to the online application before submitting.** **EEO Statement** The State of North Carolina is an Equal Employment Opportunity Employer and dedicated to providing employees with a work environment free from all forms of unlawful employment discrimination, harassment, or retaliation. The state provides reasonable accommodation to employees and applicants with disabilities; known limitations related to pregnancy, childbirth, or related medical conditions; and for religious beliefs, observances, and practices. **Recruiter:** Tia Saunders **Email:** Careers@NCSSM.EDU", "summaryDescription" : "Instructor of Mathematics at North Carolina School of Science, Math. Skills: Mathematics instruction, Curriculum development. Plan instructional program. Develop instructional program", "postedDate" : "2026-06-10T05:38:13.067", "createdAt" : "2026-06-12T05:38:12.984", "lastUpdated" : "2026-06-15T00:18:56.895", "ingestTimestamp" : "2026-06-12T05:38:12.984", "mongoId" : "6a2b035474d8ee00a074f27b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://nc.wd108.myworkdayjobs.com/NC_Careers/job/Burke-County-NC/Instructor-of-Mathematics_JR-117621", "salaryAnnualMin" : 25000, "salaryAnnualMax" : 25000, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Mathematics instruction", "Curriculum development", "Instructional program development", "Course objective communication", "Syllabus creation", "Attendance tracking", "Student feedback provision", "Parent communication", "Office hour management", "Tutorial session management", "Environment management", "Responsibility modeling", "School mission adherence", "Policy adherence", "January term engagement", "Faculty duties participation", "Academic advising", "Event participation", "Professional development", "Outreach participation", "Written appraisals", "Evaluations", "Departmental committee service", "Faculty committee service", "School-wide committee service", "Student recommendation writing", "Personal intellectual growth", "Professional duties participation", "Information service provision", "Expertise provision", "Student project assistance", "Independent study assistance", "Individual study assistance", "Seminar-based study assistance", "Admissions process participation", "Prospective student recruiting", "Prospective student selection", "Prospective student advising", "Alumni engagement", "School-sponsored program assistance", "Extracurricular activity assistance", "Mathematics", "Data Science", "Calculus", "Residential school programs" ], "skillCount" : 45, "jobCategory" : "other", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "_score" : 643.55835, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false }, { "id" : "69e104402beec4dd3def254e", "title" : "Sr. Product Manager - Tech, Prime Video Sports & Linear Operations", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, entertainment", "salary" : { "min" : 151200.0, "max" : 204600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:03:55.319", "fingerprint" : "c9047971ca334646ca94aaa4f64faf29fc41bf091da369ba1b55e6d4a93d14e8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387057/apply", "externalId" : "5ef9de3f-356a-4a4e-94f8-3d9d40518c03", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Business Intelligence", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Digital supply chain", "Business requirements", "Technical specifications", "Product lifecycle management" ], "hardSkillsList" : [ "Data-backed decisions" ], "hardSkills" : [ { "name" : "Data-backed decisions", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Roadmap development, Digital supply chain", "majorSkillsList" : [ "Product strategy", "Roadmap development", "Digital supply chain" ], "coreResponsibilities" : "Define and execute strategy, Analyze business trends, Make data-backed decisions, Collaborate with cross-functional teams, Influence long-term strategy, Create business requirements, Develop solutions, Socialize solutions across teams, Own end-to-end product lifecycle", "teamCollaboration" : "Cross-functional teams; Engineering teams; Operations teams; Product managers; Executive teams; Business Intelligence", "projectManagementSkills" : [ "Roadmap strategy", "Product lifecycle" ], "domainKnowledge" : "Live event streaming; Digital supply chain; Live content onboarding; Linear operations", "domainList" : [ "live-event-streaming", "digital-supply-chain", "live-content-onboarding", "linear-operations" ], "domainSpecificKnowledge" : [ "Live event streaming", "Digital supply chain", "Live content onboarding", "Linear operations" ], "toolProficiency" : [ "Tableau", "Qlikview", "QuickSight" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "2+ years end to end product delivery, 5+ years technical product management, Bachelor's degree, Contribute to engineering discussions, Experience with feature delivery, Own/drive roadmap strategy, Manage technical products, Represent and advocate for customers", "qualificationsPreferred" : "Experience using analytical tools, Experience building new tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Prime Video Sports is shaping the future of the live event streaming industry. Our vision is to delight fans by offering the freshest, richest, and most defect-free catalog of content anywhere. We are looking for a data-savvy and strategic Senior Product Manager to own a portfolio of internal automation and tooling focused on the quality and efficiency of our digital supply chain. In this cross-functional role you will help define and execute the strategy for the products and services that internal teams to onboard and operate live content for streaming to customers globally. You will collaborate with engineering, operations, other product managers, and executive teams to bring products to market, develop and grow business opportunities, and enhance our platform capabilities. The duties will include formulating a business vision for your product domain, gathering business and functional requirements from internal customers and end-users, and translating those requirements into technical specifications to build robust, scalable, and supportable solutions that work well with a range of complex systems. The PMT serves as the technical and business lead throughout the entire development lifecycle including scoping, planning, conceptualizing, designing, testing, documenting, and shipping the product to the end customer keeping in mind issues around tech debt, scalability, performance and latency, and compatibility with technology and business goals. Key job responsibilities - Define and execute toward the long-term strategy for the quality and efficiency of our digital supply chain - Work closely with Business Intelligence to analyze business trends and make data-backed decisions - Collaborate with cross-functional teams including other product managers, engineering, partner management, and executives to influence and drive the long-term strategy - Create business requirements, develop solutions, and socialize them across functions and teams - Own the end-to-end product lifecycle This role can be located in Seattle, WA; Los Angeles, CA; Austin, TX; NYC, NY; Arlington, VA. About the team Responsible for leading the Live Events Program and Operations with end-to-end planning and execution for live events within Prime Video. Basic Qualifications: - 2+ years of end to end product delivery experience - 5+ years of technical product or program management experience - Bachelor's degree - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Preferred Qualifications: - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Culver City - 151,200.00 - 204,600.00 USD annually USA, NY, New York - 166,300.00 - 225,000.00 USD annually USA, TX, Austin - 151,200.00 - 204,600.00 USD annually USA, VA, Arlington - 151,200.00 - 204,600.00 USD annually USA, WA, SEATTLE - 151,200.00 - 204,600.00 USD annually", "summaryDescription" : "Sr. Product Manager - Tech, Prime Video Sports & Linear Operations at Amazon.com Services LLC. Skills: Product strategy, Roadmap development, Digital supply chain. Define and execute strategy. Analyze business trends", "postedDate" : "2026-06-13T03:25:19.796", "createdAt" : "2026-06-13T03:25:19.796", "lastUpdated" : "2026-06-15T01:03:55.319", "ingestTimestamp" : "2026-06-13T03:25:19.796", "mongoId" : "69e104402beec4dd3def254e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387057/apply", "salaryAnnualMin" : 151200, "salaryAnnualMax" : 204600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data-backed decisions", "Product strategy", "Roadmap development", "Digital supply chain", "User stories", "Business requirements", "Technical specifications", "Product lifecycle management", "Roadmap strategy", "Product lifecycle", "Live event streaming", "Live content onboarding", "Linear operations", "Tableau", "Qlikview", "QuickSight" ], "skillCount" : 16, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 632.86053, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, 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"locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Machine Learning, Predictive analytics", "professionalSkills" : [ "System design", "Technical judgement", "Program management" ], "hardSkillsList" : [ "Availability risk management", "Incident management", "Escalation management", "Reliability initiatives", "Operational improvements", "Availability specifications", "System uptime", "Operational health", "Monitoring practices", "Chaos engineering", "Project planning", "Task break-down", "Delivery tracking", "Technical strategy", "Design trade-offs", "Feature prioritization", "Schedule prioritization" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Availability risk management", "level" : "intermediate" }, { "name" : "Incident management", "level" : "intermediate" }, { "name" : "Escalation management", "level" : "intermediate" }, { "name" : "Reliability initiatives", "level" : "intermediate" }, { "name" : "Operational improvements", "level" : "intermediate" }, { "name" : "Availability specifications", "level" : "intermediate" }, { "name" : "System uptime", "level" : "intermediate" }, { "name" : "Operational health", "level" : "intermediate" }, { "name" : "Monitoring practices", "level" : "intermediate" }, { "name" : "Chaos engineering", "level" : "intermediate" }, { "name" : "Project planning", "level" : "intermediate" }, { "name" : "Task break-down", "level" : "intermediate" }, { "name" : "Delivery tracking", "level" : "intermediate" }, { "name" : "Technical strategy", "level" : "intermediate" }, { "name" : "Design trade-offs", "level" : "intermediate" }, { "name" : "Feature prioritization", "level" : "intermediate" }, { "name" : "Schedule prioritization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Technical program management, System reliability, Operational excellence", "majorSkillsList" : [ "Technical program management", "System reliability", "Operational excellence" ], "coreResponsibilities" : "Define distributed services, Design distributed services, Implement distributed services, Define customer experiences, Design customer experiences, Implement customer experiences, Design major features, Implement major features, Test major features, Estimate engineering effort, Plan implementation, Rollout system changes, Manage complex initiatives, Manage high-impact initiatives, Transform operational incidents, Transform availability gaps, Transform reliability concerns, Partner with engineering teams, Partner with operations teams, Identify reliability requirements, Distinguish tactical fixes, Distinguish strategic solutions, Consolidate operational needs, Create reliability projects, Communicate project status, Communicate project risks, Coordinate project execution, Create project management strategies, Meet deliverables, Organize teams, Update Critical Program Reviews, Update reporting mechanisms, Interact with leaders, Conceptualize delivery, Plan delivery, Assist with project planning, Assist with task break-down, Assist with delivery, Track status with team, Communicate delivery status, Contribute to vision, Contribute to goals, Contribute to technical strategy, Provide leadership, Provide leadership on complex issues, Provide leadership on design trade-offs, Provide leadership on feature prioritization, Provide leadership on schedule prioritization", "teamCollaboration" : "Partnering with SDMs; Collaborate with Prime Video teams; Cross-team coordination; Partnering with engineering teams; Partnering with operations teams; Work with product teams; Work with partner tech teams", "projectManagementSkills" : [ "Scope management", "Schedule management", "Budget management", "Quality management", "Risk management", "Critical path management", "Roadmap planning" ], "domainKnowledge" : "Live sports experience; Live sports infrastructure; Distributed services; Cloud-native architecture; Predictive analytics; Automated operations", "domainList" : [ "live-sports-experience", "live-sports-infrastructure", "distributed-services", "cloud-native-architecture", "predictive-analytics", "automated-operations" ], "domainSpecificKnowledge" : [ "Live sports experience", "Live sports infrastructure", "Distributed services", "Cloud-native architecture", "Predictive analytics", "Automated operations" ], "communicationSkills" : "Senior management communication; Director level communication; VP level communication", "continuousLearning" : "Mentoring; Learning opportunities", "innovationCreativity" : "Innovate on behalf of customer", "problemSolvingSkills" : "Anticipate availability risks; Anticipate bottlenecks; Root cause analysis", "outcomesObjectives" : "Deliver measurable enhancements; Improve system uptime; Improve operational health; Meet business SLA commitments; Maintain service availability; Error-free service operation", "qualificationsBasic" : "5+ years technical product management, 3+ years software development, 5+ years technical program management, Manage programs across cross functional teams, Build processes and coordinate release schedules, Build and evaluate system-level technical design, Develop and execute product roadmaps, Develop and execute technical roadmaps", "qualificationsPreferred" : "5+ years project management disciplines, Scope, schedule, budget, quality management, Risk and critical path management", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Love sports? Want to change the world? Prime Video is re-inventing the live sports experience by merging high-quality live streaming, immersive interactive features, and exclusive access to some of the world's most loved sports properties - including the NFL, NBA, English Premier League and UEFA Champions League soccer, Rolland-Garros (French Open), the US Open and more. Every day we face the challenges of a fast-paced market and expanding technology set. And we're building at a scale only Amazon is capable of. The Prime Video Sports team is a single-threaded-owner, uniquely positioned to execute our vision across the entire Prime Video stack to deliver the most compelling new experiences to our customers. If this sounds like the type of experience you'd like to help build - apply here and let's chat! Who we are: We are deeply connected with the idea that live sports events are fundamentally different: there is only one shot at delivering the moment until it is forever lost. Our mission is to make sure that our customers never miss a single moment of the sports they love. To do this we need to deliver best-in-class live sports infrastructure, testing, monitoring, and operations to optimize the delivery of live sports experiences at scale. Our team engineers for speed, quality, availability, and scale. As Prime Video has grown, we've increased the depth and breadth of video products we support, with a corresponding increase in the associated size and complexity of our engineering activity and the load on our services. Our goal is to adapt our architecture to maintain and improve our velocity of delivery for customers in the face of these changes, and for our services to be on and error-free 24/7, especially for high-profile, exclusive content. With AI as a transformative force, we're at an inflection point that enables us to unlock new opportunities in predictive analytics, automated defect analysis and mitigation, and automated operations that were previously beyond our reach. What we're looking for: We need a highly talented Senior Technical Program Manager to build resilient, highly available, and operationally excellent systems that power our vision. You'll anticipate availability risks, manage critical incidents and escalations, and balance business SLA commitments against technical constraints and operational trade-offs. You must break down complex reliability initiatives into manageable operational improvements, develop comprehensive availability specifications, and deliver measurable enhancements to system uptime and operational health. We seek someone with a strong curiosity to build and nurture an operationally mature, reliability-focused engineering culture—fostering proactive monitoring practices, blameless post-mortem disciplines, and integrating emerging observability and chaos engineering technologies into our operational excellence framework. What you will do here: You will own and drive product features partnering with SDMs in our Seattle,WA Austin, TX and Arlington, VA teams. You'll collaborate with Prime Video teams including Catalog, Commerce, Offers, X-Ray, Prime Video Channels, Store Front Automation, devices and more. You will look around corners, anticipate bottlenecks, and use technical judgement to land complex programs for our business. You will also influence and shape how we execute and help drive velocity with high quality. You will manage complex, high-impact availability and operational excellence initiatives spanning multiple teams. Balance competing priorities while maintaining focus on system reliability, operational health, and measurable availability outcomes. You will transform operational incidents, availability gaps, and reliability concerns into prioritized technical specifications by partnering with engineering and operations teams to identify high-impact reliability requirements. Help teams distinguish between tactical incident fixes and strategic availability solutions, consolidating related operational needs into cohesive reliability improvement projects with clear business value and customer impact. This role involves regular communication with senior, director, and VP level management on project status and risks, broad cross-team coordination on project execution, creating effective project management strategies to meet deliverables and organize teams, and regular updates to Critical Program Reviews and other reporting mechanisms. If you’re excited about helping to build the future of live sports or just want to have fun creating something you can be proud to show your family and friends, reach out. We’d love to chat. What you will get from us: A great team to work with and the chance to build a top tier services at a proven top tier company. You will get a startup like culture with the stability of an established industry leader. You will get support and resources from some of the smartest people in the industry to continue learning. Key job responsibilities • Define, design, and implement multi-tier distributed services and customer experiences • Be involved in designing, implementing, and testing of major features • Estimate engineering effort, plan implementation, and rollout system changes that meet requirements for functionality, performance, scalability, reliability, and adherence to development goals and principles. • Effectively collaborate in a fast-paced environment with multiple teams in large organization (software development, QA, Project/Release Management, Build and Release, etc). A day in the life - Interact with leaders from product and/or other partner tech teams and stakeholders for conceptualizing, scoping and/or planning delivery. - Assist with project planning, task break-down, delivery and track status with your team - Communicate delivery status to stakeholders - Contribute to the vision, goals, and technical strategy in alignment with customer needs and market opportunities. - Provide leadership on complex technical issues, design trade-offs, and feature and schedule prioritization. - Innovate on behalf of customer About the team - We are a team who value diversity, respect, and inclusiveness. We love mentoring and helping each other grow. - Our technology choices and designs are driven from the engineers, not handed down from above. - We have a lot of say for what goes into our product. We get to pitch our ideas up the chain, not the other way around. Basic Qualifications: - 5+ years of technical product or program management experience - 3+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience building and evaluating system-level technical design - Experience developing and executing/delivering product and technical roadmaps Preferred Qualifications: - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, TX, Austin - 148,700.00 - 201,200.00 USD annually USA, WA, SEATTLE - 148,700.00 - 201,200.00 USD annually", "summaryDescription" : "Sr. Technical Program Manager, Prime Video Sports Linear and News at Amazon.com Services LLC. Skills: Technical program management, System reliability, Operational excellence. Define distributed services. Design distributed services", "postedDate" : "2026-06-13T06:43:08.681", "createdAt" : "2026-06-13T06:43:08.681", "lastUpdated" : "2026-06-15T01:44:37.476", "ingestTimestamp" : "2026-06-13T06:43:08.681", "mongoId" : "69fda4e24c40e2acd1b996e6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413895/apply", "salaryAnnualMin" : 148000, "salaryAnnualMax" : 201200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Availability risk management", "Incident management", "Escalation management", "Reliability initiatives", "Operational improvements", "Availability specifications", "System uptime", "Operational health", "Monitoring practices", "Chaos engineering", "Project planning", "Task break-down", "Delivery tracking", "Technical strategy", "Design trade-offs", "Feature prioritization", "Schedule prioritization", "Leadership", "Technical program management", "System reliability", "Operational excellence", "System design", "Technical judgement", "Program management", "Scope management", "Schedule management", "Budget management", "Quality management", "Risk management", "Critical path management", "Roadmap planning", "Live sports experience", "Live sports infrastructure", "Distributed services", "Cloud-native architecture", "Predictive analytics", "Automated operations" ], "skillCount" : 37, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 619.0627, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2af78274d8ee00a073d5e3", "title" : "Statistical Science Director", "company" : "AstraZeneca", "industry" : "Healthcare", "salary" : { "min" : 5500000.0, "max" : 9500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Statistical Science in the Pharma industry in India, adjusted for seniority and company size." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-14T23:35:23.907", "fingerprint" : "1d958ef621aa736522a1611403cbb3d152f4ec1ee74ce7c5c28c79b8760a351f", "source" : "workday", "language" : "en", "applyUrl" : "https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/India---Bangalore/Statistical-Science-Director_R-244641-1", "externalId" : "R-244641", "industryFunction" : { }, "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Statistics, Biostatistics, R, SAS", "professionalSkills" : [ "Statistical Design Leadership", "Study Excellence", "Benefit-Risk Quantification", "Global Leadership", "Methodology Innovation", "Strategic Governance Influence", "Project Leadership", "Methodological Advancement" ], "hardSkillsList" : [ "Statistical methods", "Study design", "Analysis plans", "Data analysis", "Statistical computation", "Quantitative evidence" ], "softSkillsList" : [ "Leadership", "Mentoring", "Communication" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Study design", "level" : "intermediate" }, { "name" : "Analysis plans", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical computation", "level" : "intermediate" }, { "name" : "Quantitative evidence", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Communication" } ], "majorSkills" : "Statistical strategy, Drug development, Biometrics expertise", "majorSkillsList" : [ "Statistical strategy", "Drug development", "Biometrics expertise" ], "coreResponsibilities" : "Lead statistical design and strategy, Own statistical content for study designs, Own statistical content for protocols, Own statistical content for analysis plans, Own statistical content for interpretation, Own statistical content for submissions, Quantify benefit, risk, value and uncertainty, Communicate insights that drive confident decisions, Provide leadership and direction to internal and external, Coach and support technical education and training, Partner with CROs to meet quality, Represent AstraZeneca with health authorities, Represent AstraZeneca with advisory boards, Represent AstraZeneca with conferences, Represent AstraZeneca with workshops, Represent AstraZeneca with payer interactions, Investigate and implement novel approaches, Represent statistical strategy and decision-making, Shape progression and investment decisions, Lead projects end-to-end, Drive statistical methodological advances", "teamCollaboration" : "Cross-functional teams; External partnerships; Internal governance; Therapy area leadership teams", "domainKnowledge" : "Drug development; Regulatory pathways; Health technology assessment; Payer evidence; Adaptive designs; Bayesian methods; Platform protocols; Master protocols", "domainList" : [ "drug-development", "regulatory-pathways", "health-technology-assessment", "payer-evidence", "adaptive-designs", "bayesian-methods", "platform-protocols", "master-protocols" ], "domainSpecificKnowledge" : [ "Drug development", "Regulatory pathways", "Health technology assessment", "Payer evidence", "Adaptive designs", "Bayesian methods", "Platform protocols", "Master protocols" ], "toolProficiency" : [ "R", "SAS" ], "communicationSkills" : "Clear direction; Communicate insights; Clear recommendations", "documentationSkills" : "Study designs; Protocols; Analysis plans", "continuousLearning" : "Technical education; Training", "innovationCreativity" : "Methodology Innovation; Novel approaches", "problemSolvingSkills" : "Decision Making; Data-driven analysis", "outcomesObjectives" : "Enhance impact on patient outcomes; Enhance business value; Strengthen decision-making; Elevate enterprise-wide standards", "qualificationsBasic" : "12+ years of experience as a Statistician, Experience with regulatory interactions, Experience with regulatory submissions, Clinical Trial Protocol, Regulatory Interaction, Data-driven analysis, Decision Making in drug development, Sophisticated Statistical Computation & Methodology", "qualificationsPreferred" : "PhD or equivalent in Statistics, PhD or equivalent in Biostatistics, PhD or equivalent in a related quantitative field, Experience with health technology assessment, Experience with payer evidence, Expertise in advanced trial designs, Expertise in decision analysis, Proficiency in R, Proficiency in SAS, Modern reproducible analysis familiarity, Familiarity with version control, Familiarity with scalable computing, Experience influencing internal governance bodies, Experience influencing external collaborators, Experience with health authorities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## **Job Title: Statistical Science Director** **GCL: F** ## **Introduction to role:** Are you ready to lead statistical strategy that shapes pivotal decisions across global medicine development? As Statistical Science Director at AstraZeneca, you will turn sophisticated evidence into clear direction, guiding programs from early discovery through registration and beyond. Your work will directly influence how quickly and confidently we bring entrepreneurial therapies to patients. Do you thrive on turning uncertainty into actionable insight? In this high-visibility role, you will be a key voice at decision forums, set standards for study design and quantitative difficulty, and mentor a dedicated team. You will collaborate across therapy areas and teams, applying biometrics expertise in new ways to enhance impact on patient outcomes and business value. ## ## **Accountabilities** : * Statistical Design Leadership: Lead statistical design and strategy across product development plans, preclinical studies, regulatory pathways, health technology assessment and commercial activities aligned to the product’s stage. * Study Excellence and Delivery: Own statistical content for study designs, protocols, analysis plans, interpretation and submissions, ensuring transparency, difficulty and timely delivery. * Benefit–Risk and Uncertainty: Quantify benefit, risk, value and uncertainty of emerging product profiles and communicate insights that drive confident decisions. * Global Leadership and Team Direction: Provide leadership and direction to internal and external statisticians; mentor, coach and support technical education and training for the Statistics community. * External Partnerships and Representation: Partner with CROs to meet quality and timelines; represent AstraZeneca with health authorities, advisory boards, conferences, workshops and payer interactions. * Methodology Innovation: Maintain deep knowledge of statistical methodology; promote, investigate and implement novel approaches (e.g., adaptive designs, Bayesian methods) that strengthen decision-making. * Strategic Governance Influence: Represent statistical strategy and decision-making at internal governance, including review boards, therapy area leadership teams and ESPC/LSPC, shaping progression and investment decisions. * Project Leadership or Methodological Advancement: Lead projects end-to-end and/or drive statistical methodological advances that elevate enterprise-wide standards. ## ## **Essential Skills/Experience:** * Min 12+ years of experience as a Statistician in pharma/healthcare industry * Up to date and implements novel stats approaches * Experience with and broad awareness of regulatory interactions and/or submissions * Ability to provide Input to Clinical Development Plan & Exemplary technical skills such as Clinical Trial Protocol, Regulatory Interaction, Data-driven analysis, Decision Making in drug development, Sophisticated Statistical Computation & Methodology * Excellent communication skills/ builds strong relationships * Track record of expert Leadership role or nationally recognized externally as a statistical technical expert ## ## **Desirable Skills/Experience:** * PhD or equivalent in Statistics, Biostatistics, or a related quantitative field * Proven impact across multiple therapy areas, including experience with health technology assessment and payer evidence * Expertise in advanced trial designs and decision analysis (adaptive, Bayesian, platform/master protocols) * Proficiency in R and/or SAS and modern reproducible analysis practices; familiarity with version control and scalable computing * Track record of leading cross-functional teams and partnerships with CROs to deliver to quality and time * Experience influencing internal governance bodies and external collaborators, including health authorities * Ability to translate complex quantitative evidence into clear recommendations for senior leaders When we put unexpected teams in the same room, we fuel bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. ## **Why AstraZeneca:** Join a company where bold, curious minds work side by side to solve hard problems and move quickly from insight to impact. You will influence high-visibility decisions, apply ground breaking methods to real-world data, and see your work translate into medicines that make a tangible difference for patients across the globe. We bring diverse teams together to spark new thinking, value kindness alongside ambition, and provide the support, challenge and recognition needed to grow while creating outcomes that matter. Step into a high-exposure director role where your statistics shape real-world outcomes—send your application today and start making decisive impact! **Date Posted** 11-Jun-2026 **Closing Date** 30-Jul-2026 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.", "summaryDescription" : "Statistical Science Director at AstraZeneca. Skills: Statistical strategy, Drug development, Biometrics expertise. Lead statistical design and strategy. Own statistical content for study designs", "postedDate" : "2026-06-12T04:14:30.196", "createdAt" : "2026-06-12T04:14:30.183", "lastUpdated" : "2026-06-14T23:35:23.907", "ingestTimestamp" : "2026-06-12T04:14:30.183", "mongoId" : "6a2af78274d8ee00a073d5e3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/India---Bangalore/Statistical-Science-Director_R-244641-1", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Study design", "Analysis plans", "Data analysis", "Statistical computation", "Quantitative evidence", "Leadership", "Mentoring", "Communication", "Statistical strategy", "Drug development", "Biometrics expertise", "Statistical Design Leadership", "Study Excellence", "Benefit-Risk Quantification", "Global Leadership", "Methodology Innovation", "Strategic Governance Influence", "Project Leadership", "Methodological Advancement", "Regulatory pathways", "Health technology assessment", "Payer evidence", "Adaptive designs", "Bayesian methods", "Platform protocols", "Master protocols", "R", "SAS" ], "skillCount" : 29, "jobCategory" : "other", "seniorityLevel" : "executive", "dataQualityScore" : 1.0, "_score" : 618.9536, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare" }, { "id" : "6a2a8fec74d8ee00a068a6a3", "title" : "Mathematics AI Training Expert", "industry" : "STEM ", "salary" : { "min" : 40.0, "max" : 40.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Finland", "locations" : [ "Finland" ], "timestamp" : "2026-06-14T21:52:43.051", "fingerprint" : "969bf6216dc12ab6b38e793b710bc86734cb6e293f8e7b34e432eb18a58cd77e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/29d52cd8-160a-45b8-a942-05a94381652a/application", "externalId" : "29d52cd8-160a-45b8-a942-05a94381652a", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "minimumEducation" : "Master's", "technicalSkills" : "Python, numpy, scipy, pandas", "professionalSkills" : [ "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics" ], "hardSkillsList" : [ "Mathematical reasoning", "Computational workflows" ], "hardSkills" : [ { "name" : "Mathematical reasoning", "level" : "intermediate" }, { "name" : "Computational workflows", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI Training, Problem Design", "majorSkillsList" : [ "Mathematics", "AI Training", "Problem Design" ], "coreResponsibilities" : "Design advanced mathematical problems, Create deterministic problems, Write complete solutions, Document reasoning process, Develop problems testing reasoning, Build computational workflows, Ensure outputs are precise, Ensure outputs are reproducible, Ensure outputs are well-written", "domainKnowledge" : "Frontier AI models; Mathematical reasoning", "domainList" : [ "frontier-ai-models", "mathematical-reasoning" ], "domainSpecificKnowledge" : [ "Frontier AI models", "Mathematical reasoning" ], "communicationSkills" : "Technical writing", "documentationSkills" : "Document reasoning process", "problemSolvingSkills" : "Mathematical modeling; Problem design", "qualificationsBasic" : "Master's or PhD, Mathematical modeling experience, Proof-based reasoning experience, Applied mathematics experience, Computational mathematics experience, Python comfort, Solid grasp of algorithms, Solid grasp of numerical methods, Solid grasp of computational approaches, Ability to design original problems, Excellent attention to detail, Technical writing skills in English", "qualificationsPreferred" : "Experience with symbolic math systems, Experience with theorem provers, Experience with optimization solvers, Experience with mathematical software, Olympiad-level problem design experience, Graduate-level problem design experience, Research-level problem design experience, Experience evaluating model reasoning, Experience benchmarking model reasoning, Experience with technical assessment design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. - Location: Remote - Type: Contract / Part-time - Commitment: 20 hours per week - Compensation: Up to 40 USD / hr - Project duration: 2 months, with potential extension - Availability: Immediate start ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert. Skills: Mathematics, AI Training, Problem Design. Design advanced mathematical problems. Create deterministic problems", "postedDate" : "2026-06-11T21:45:15.888", "createdAt" : "2026-06-11T21:45:15.888", "lastUpdated" : "2026-06-14T21:52:43.051", "ingestTimestamp" : "2026-06-11T21:45:15.888", "mongoId" : "6a2a8fec74d8ee00a068a6a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 40, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Mathematical reasoning", "Computational workflows", "Mathematics", "AI Training", "Problem Design", "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics", "Frontier AI models" ], "skillCount" : 10, "jobCategory" : "other", "jobSubcategory" : "stem-", "dataQualityScore" : 0.7777778, "_score" : 604.0733, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c5f3874d8ee00a08ea052", "title" : "Associate Director, Statistical Programming", "company" : "Corcept Therapeutics", "industry" : "Healthcare", "salary" : { "min" : 215000.0, "max" : 310000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for an Associate Director, Statistical Programming in the Biotech industry in Redwood City, CA, adjusted for Director seniority and company size." }, "location" : "Redwood City, California, United States", "locations" : [ "Redwood City", "California", "United States" ], "timestamp" : "2026-06-15T00:49:51.467", "fingerprint" : "0060710eee5b3b597571acef0c9a2bfa4375647ba3a3b210243428dc677ebe48", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.corcept.com/careers/current-opportunities/?gh_jid=6020221004", "externalId" : "6020221004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4863239,-122.2325230" } ], "locationText" : "Redwood City, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SAS", "professionalSkills" : [ "Statistical analysis", "Clinical trial results", "Submission readiness" ], "hardSkillsList" : [ "SAS programming" ], "hardSkills" : [ { "name" : "SAS programming", "level" : "intermediate" } ], "majorSkills" : "Statistical programming, SAS", "majorSkillsList" : [ "Statistical programming", "SAS" ], "coreResponsibilities" : "Plan statistical programming, Execute statistical programming, Ensure quality of SAS programming, Conduct statistical analyses, Support clinical trial results, Ensure submission readiness of study data packages, Adhere to CDISC standards, Adhere to FDA guidance, Enhance statistical programming infrastructure, Review CRO generated case report forms, Review database specifications, Review data transfer specifications, Review Statistical Analysis Plan, Develop specifications for SAS programs, Write SAS programs for study data analysis, Write SAS programs for clinical study report preparation, Develop specifications for SAS programs for internal data, Build SAS programs for internal data reviews, Execute SAS programs for internal data reviews, Develop specifications for SAS programs for publications, Build SAS programs for publications, Execute SAS programs for publications, Develop specifications for SAS programs for exploratory analyses, Build SAS programs for exploratory analyses, Execute SAS programs for exploratory analyses, Develop specifications for SAS programs for post-hoc analyses, Build SAS programs for post-hoc analyses, Execute SAS programs for post-hoc analyses, Develop specifications for SAS programs for regulatory review, Build SAS programs for regulatory review, Execute SAS programs for regulatory review, Develop SAS macros, Develop SAS tools for repeated program use, Manage on-time delivery of CRO-generated analyses results, Manage quality delivery of CRO-generated analyses results", "teamCollaboration" : "Work with data management", "projectManagementSkills" : [ "Planning", "Execution" ], "domainKnowledge" : "Hypercortisolism; Oncology; Cortisol modulation; Glucocorticoid receptor antagonists; Clinical trials; Biometrics; CDISC standards; FDA guidance", "domainList" : [ "hypercortisolism", "oncology", "cortisol-modulation", "glucocorticoid-receptor-antagonists", "clinical-trials", "biometrics", "cdisc-standards", "fda-guidance" ], "domainSpecificKnowledge" : [ "Hypercortisolism", "Oncology", "Cortisol modulation", "Glucocorticoid receptor antagonists", "Clinical trials", "Biometrics", "CDISC standards", "FDA guidance" ], "toolProficiency" : [ "SAS" ], "documentationSkills" : "Clinical documentation", "qualificationsBasic" : "Currently authorized to work in the United States on a full-time basis", "workSiteFlexibility" : "Onsite", "rawDescription" : "For more than 25 years, Corcept has been singularly focused on the science of cortisol, a powerful hormone that when unregulated, can play a role in a broad range of diseases. Our commercial portfolio includes treatments for hypercortisolism and oncology, and the company has discovered more than 1,000 proprietary selective cortisol modulators and glucocorticoid receptor antagonists. With advanced clinical trials in patients with hypercortisolism, solid tumors, ALS and liver disease, Corcept is unlocking the power of cortisol modulation to help address some of the most devastating diseases patients face today. Corcept is headquartered in Redwood City, California. To learn more, visit www.corcept.com. Reporting to the Head of Statistical Programming, the Associate Director is responsible for the planning, execution, and quality of SAS programming to conduct statistical analyses in support of clinical trial results. This role is also responsible for submission readiness of study data packages per CDISC standards and FDA guidance, and enhancements of the statistical programming infrastructure of the Biometrics department as applicable. Responsibilities: Work with data management to review CRO generated case report forms, database specifications, and data transfer specifications Review Statistical Analysis Plan, develop specifications, write and execute SAS programs for study data analysis and preparation for clinical study report Develop specifications, build and execute SAS programs for internal data reviews, publications, exploratory, post-hoc and regulatory review Develop SAS macros and tools for repeated program use for exploratory and post-hoc analyses Manage on-time and quality delivery of CRO-generated analyses results Review the pay ultimately offered may vary based on legitimate considerations, including geographic location, job-related knowledge, skills, experience, and education. Applicants must be currently authorized to work in the United States on a full-time basis. For information on how Corcept collects, uses, discloses, protects, and otherwise processes personal information and an explanation of the rights and choices available to you with respect to your personal information, please refer to our Privacy Notice link. Corcept appreciates the commitment and hard work of all our team members as we strive to discover and develop novel treatments for patients with serious unmet medical needs. Please visit our website at: https://www.corcept.com/ Corcept is an Equal Opportunity Employer Corcept will not conduct interviews via text message or messaging platforms and will not ask you to download anything as part of your interview. Though we use third-party tools to help with advertising our jobs, please be vigilant in checking that the communication is in fact coming from Corcept.", "summaryDescription" : "Associate Director, Statistical Programming at Corcept Therapeutics. Skills: Statistical programming, SAS. Plan statistical programming. 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As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in target language reflecting local mathematics practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (Arabic) at LILT. Skills: Mathematics, AI benchmarking. Create mathematical scenarios. 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As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in target language reflecting local mathematics practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (Telugu) at LILT. Skills: Mathematics, AI benchmarking, Content creation. Create mathematical scenarios. 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As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in target language reflecting local mathematics practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (Italian) at LILT. Skills: Mathematics, AI benchmarking, Content creation. Create mathematical scenarios. Review mathematical scenarios", "postedDate" : "2026-06-11T18:45:12.879", "createdAt" : "2026-06-11T18:45:12.879", "lastUpdated" : "2026-06-14T08:36:24.065", "ingestTimestamp" : "2026-06-11T18:45:12.879", "mongoId" : "6a2a714174d8ee00a0648ba6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Mathematics content creation", "Scoring rubrics", "Response evaluation", "Mathematics", "AI benchmarking", "Content creation", "Applied mathematics", "Probability and statistics", "Computational mathematics", "Physics", "Locale-specific contexts", "Compliant mathematical environments" ], "skillCount" : 12, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 582.1227, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a714174d8ee00a0648bab", "title" : "Subject Matter Expert – Mathematics (German)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Subject Matter Expert – Mathematics in Germany, adjusted for the technology industry and remote work." }, "location" : "Germany (Remote)", "locations" : [ "Germany (Remote)" ], "timestamp" : "2026-06-13T08:48:40.374", "fingerprint" : "e62d1d75337d2fac11d97302fd84504e4476775920c8fc33ee38f728652f7560", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/a1fcbcfe-865c-4b84-b466-80aad46eb963/application", "externalId" : "a1fcbcfe-865c-4b84-b466-80aad46eb963", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Germany", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Germany", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Mathematics content creation", "Scoring rubric application", "AI system evaluation" ], "hardSkillsList" : [ "Mathematics", "Applied mathematics", "Probability", "Statistics", "Computational mathematics", "Physics" ], "hardSkills" : [ { "name" : "Mathematics", "level" : "intermediate" }, { "name" : "Applied mathematics", "level" : "intermediate" }, { "name" : "Probability", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Computational mathematics", "level" : "intermediate" }, { "name" : "Physics", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI benchmarking, Content creation", "majorSkillsList" : [ "Mathematics", "AI benchmarking", "Content creation" ], "coreResponsibilities" : "Create mathematical scenarios, Review mathematical scenarios, Evaluate AI systems, Create domain-specific tasks, Adapt scoring rubrics, Apply scoring rubrics, Evaluate AI-generated responses, Evaluate human responses, Review submissions, Score submissions, Provide expert feedback, Contribute to gold standard solutions", "domainKnowledge" : "Mathematics practices; Local mathematics practices", "domainList" : [ "mathematics-practices", "local-mathematics-practices" ], "domainSpecificKnowledge" : [ "Mathematics practices", "Local mathematics practices" ], "communicationSkills" : "Professional English proficiency", "outcomesObjectives" : "High-quality mathematical scenarios; Accurate regulatory alignment; Professional quality submissions; High-quality gold standard solutions", "qualificationsBasic" : "Native in target language, Professional English proficiency, 5+ years of experience in Mathematics, Knowledge of target local frameworks, Ability to write and evaluate professional-grade mathematics content in target language, High attention to detail", "qualificationsPreferred" : "Mathematics expertise in applied mathematics, Mathematics expertise in probability and statistics, Mathematics expertise in computational mathematics and physics", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking experienced professionals in Mathematics to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in target language reflecting local mathematics practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (German) at LILT. Skills: Mathematics, AI benchmarking, Content creation. Create mathematical scenarios. Review mathematical scenarios", "postedDate" : "2026-06-11T17:25:00.823", "createdAt" : "2026-06-11T17:25:00.823", "lastUpdated" : "2026-06-13T08:48:40.374", "ingestTimestamp" : "2026-06-11T17:25:00.823", "mongoId" : "6a2a714174d8ee00a0648bab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Mathematics", "Applied mathematics", "Probability", "Statistics", "Computational mathematics", "Physics", "AI benchmarking", "Content creation", "Mathematics content creation", "Scoring rubric application", "AI system evaluation", "Mathematics practices", "Local mathematics practices" ], "skillCount" : 13, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 579.90314, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a714174d8ee00a0648b9e", "title" : "Subject Matter Expert – Mathematics (Korean)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 7.2E7, "max" : 1.08E8, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Subject Matter Expert in Technology in South Korea, adjusted for remote work and contract employment." }, "location" : "Korea (Remote)", "locations" : [ "Korea (Remote)" ], "timestamp" : "2026-06-13T08:38:11.485", "fingerprint" : "64e6cafadf0693ae95a027e64ecc02536b03450f43b0017048dbed3b3a43c6a9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/b0437588-2775-461d-939c-754cab6ca335/application", "externalId" : "b0437588-2775-461d-939c-754cab6ca335", "industryFunction" : { }, "structuredLocations" : [ { "country" : "South Korea", "continent" : "as", "workMode" : "remote" } ], "locationText" : "South Korea", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Mathematics", "Applied mathematics", "Probability and statistics", "Computational mathematics", "Physics" ], "hardSkillsList" : [ "Mathematics content evaluation", "Scoring rubrics application" ], "hardSkills" : [ { "name" : "Mathematics content evaluation", "level" : "intermediate" }, { "name" : "Scoring rubrics application", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI benchmarking, Korean language", "majorSkillsList" : [ "Mathematics", "AI benchmarking", "Korean language" ], "coreResponsibilities" : "Create mathematical scenarios, Review mathematical scenarios, Evaluate AI systems, Create domain-specific tasks in target language, Adapt scoring rubrics, Apply scoring rubrics, Evaluate AI-generated responses, Evaluate human responses, Review submissions for accuracy, Review submissions for regulatory alignment, Review submissions for professional quality, Score submissions for accuracy, Score submissions for regulatory alignment, Score submissions for professional quality, Provide expert feedback, Contribute to gold standard solutions", "domainKnowledge" : "AI benchmarking; Locale-specific contexts; Compliant mathematical environments", "domainList" : [ "ai-benchmarking", "locale-specific-contexts", "compliant-mathematical-environments" ], "domainSpecificKnowledge" : [ "AI benchmarking", "Locale-specific contexts", "Compliant mathematical environments" ], "communicationSkills" : "Professional English proficiency", "innovationCreativity" : "Cutting-edge AI", "outcomesObjectives" : "High-quality mathematical scenarios; High-quality gold standard solutions", "qualificationsBasic" : "5+ years of experience in Mathematics, Native in the target language, Professional English proficiency, Knowledge of target local frameworks, Ability to write and evaluate professional-grade mathematics content in the target language", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking experienced professionals in Mathematics to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in target language reflecting local mathematics practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (Korean) at LILT. Skills: Mathematics, AI benchmarking, Korean language. Create mathematical scenarios. Review mathematical scenarios", "postedDate" : "2026-06-11T16:43:06.674", "createdAt" : "2026-06-11T16:43:06.674", "lastUpdated" : "2026-06-13T08:38:11.485", "ingestTimestamp" : "2026-06-11T16:43:06.674", "mongoId" : "6a2a714174d8ee00a0648b9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mathematics content evaluation", "Scoring rubrics application", "Mathematics", "AI benchmarking", "Korean language", "Applied mathematics", "Probability and statistics", "Computational mathematics", "Physics", "Locale-specific contexts", "Compliant mathematical environments" ], "skillCount" : 11, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 578.73114, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a714174d8ee00a0648baf", "title" : "Subject Matter Expert – Mathematics (Marathi)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the Indian market baseline for a Senior Subject Matter Expert – Mathematics (Marathi) in the Technology industry, adjusted for remote work and contract employment." }, "location" : "India (Remote)", "locations" : [ "India (Remote)" ], "timestamp" : "2026-06-12T21:51:43.734", "fingerprint" : "9dfe2ddfa4a0f43e0148174f6a119651597e98f85456b9270702ec49f04492d3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/7e2b47a7-e815-49d8-990e-5fc8984c9097/application", "externalId" : "7e2b47a7-e815-49d8-990e-5fc8984c9097", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Mathematics", "Applied mathematics", "Probability and statistics", "Computational mathematics", "Physics" ], "hardSkillsList" : [ "Mathematics content creation", "Scoring rubrics application", "Response evaluation", "Accuracy assessment", "Regulatory alignment" ], "hardSkills" : [ { "name" : "Mathematics content creation", "level" : "intermediate" }, { "name" : "Scoring rubrics application", "level" : "intermediate" }, { "name" : "Response evaluation", "level" : "intermediate" }, { "name" : "Accuracy assessment", "level" : "intermediate" }, { "name" : "Regulatory alignment", "level" : "intermediate" } ], "majorSkills" : "Mathematics expertise, AI benchmarking, Locale-specific AI evaluation", "majorSkillsList" : [ "Mathematics expertise", "AI benchmarking", "Locale-specific AI evaluation" ], "coreResponsibilities" : "Create mathematical scenarios, Review mathematical scenarios, Create domain-specific tasks, Adapt scoring rubrics, Apply scoring rubrics, Evaluate AI-generated responses, Evaluate human responses, Review submissions, Score submissions, Provide expert feedback, Contribute to gold standard solutions", "domainKnowledge" : "AI benchmarking; Locale-specific contexts; Mathematical environments", "domainList" : [ "ai-benchmarking", "locale-specific-contexts", "mathematical-environments" ], "domainSpecificKnowledge" : [ "AI benchmarking", "Locale-specific contexts", "Mathematical environments" ], "communicationSkills" : "Professional English proficiency", "innovationCreativity" : "Cutting-edge AI benchmarking project", "outcomesObjectives" : "High-quality mathematical scenarios; Evaluate AI systems; High-quality gold standard solutions", "qualificationsBasic" : "Native in target language, Professional English proficiency, 5+ years of experience in Mathematics, Knowledge of target local frameworks, Write professional-grade mathematics content, Evaluate professional-grade mathematics content", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking experienced professionals in Mathematics to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in target language reflecting local mathematics practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (Marathi) at LILT. Skills: Mathematics expertise, AI benchmarking, Locale-specific AI evaluation. Create mathematical scenarios. Review mathematical scenarios", "postedDate" : "2026-06-11T16:53:05.382", "createdAt" : "2026-06-11T16:53:05.382", "lastUpdated" : "2026-06-12T21:51:43.734", "ingestTimestamp" : "2026-06-11T16:53:05.382", "mongoId" : "6a2a714174d8ee00a0648baf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mathematics content creation", "Scoring rubrics application", "Response evaluation", "Accuracy assessment", "Regulatory alignment", "Mathematics expertise", "AI benchmarking", "Locale-specific AI evaluation", "Mathematics", "Applied mathematics", "Probability and statistics", "Computational mathematics", "Physics", "Locale-specific contexts", "Mathematical environments" ], "skillCount" : 15, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 576.7318, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2af78274d8ee00a073d615", "title" : "Senior Statistical Programmer", "company" : "Our Biometrics Community", "industry" : "Healthcare", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Statistical Programmer in Barcelona, Spain, adjusted for the pharmaceutical industry and full-time employment." }, "location" : "Spain", "locations" : [ "Spain" ], "timestamp" : "2026-06-15T00:45:49.337", "fingerprint" : "90bb62ab4ec8d5032660b802f1b27eadb621d5b675652cc2fa2f837f489a7684", "source" : "workday", "language" : "en", "applyUrl" : "https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/Spain---Barcelona/Senior-Statistical-Programmer_R-254016", "externalId" : "R-254016", "industryFunction" : { }, "locationPoint" : "40.4637,-3.7492", "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SAS, R, SAS macros", "professionalSkills" : [ "Clinical development", "Statistical programming", "Project management" ], "hardSkillsList" : [ "Programming", "Data analysis", "Documentation management" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Programming", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Documentation management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Statistical programming, SAS, CDISC", "majorSkillsList" : [ "Statistical programming", "SAS", "CDISC" ], "coreResponsibilities" : "Lead programming deliverables for clinical studies, Deliver high-quality programming outputs on schedule, Implement statistical programming aspects of protocols, Implement statistical programming aspects of development plans, Program independently with high efficiency, Program independently with precision, Apply advanced techniques, Apply macros to streamline workflows, Write clear programming specifications, Oversee completeness of documentation, Ensure adherence to CDISC, Ensure adherence to internal standards, Promote automation, Apply automation to enhance efficiency, Apply automation to enhance consistency, Contribute to best practices, Drive best practices, Contribute to technical initiatives, Drive technical initiatives, Identify programming risks, Manage programming risks, Communicate programming risks, Work closely with statisticians, Work closely with lead programmers, Work closely with data managers, Work closely with study leaders, Collaborate with contract programming providers, Provide subject matter expertise, Plan programming aspects, Track programming aspects, Deliver programming aspects", "teamCollaboration" : "Cross-functional collaboration; Collaboration with statisticians; Collaboration with programmers; Collaboration with data experts; Collaboration with lead programmers; Collaboration with data managers; Collaboration with study leaders; Collaboration with contract programming providers", "projectManagementSkills" : [ "Project management principles" ], "domainKnowledge" : "Clinical development process; Industry standards; CDISC; Therapeutic areas; Clinical trials phases; Regulatory submissions", "domainList" : [ "clinical-development-process", "industry-standards", "cdisc", "therapeutic-areas", "clinical-trials-phases", "regulatory-submissions" ], "domainSpecificKnowledge" : [ "Clinical development process", "Industry standards", "CDISC", "Therapeutic areas", "Clinical trials phases", "Regulatory submissions" ], "toolProficiency" : [ "SAS", "R" ], "communicationSkills" : "Stakeholder influence", "documentationSkills" : "Manage documentation; Write specifications; Oversee documentation completeness", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "On-site commitment 3 days/week, English fluency required", "qualificationsBasic" : "Degree in Mathematics, Statistics, Computer Science, Life Science, or equivalent, Excellent programming skills in SAS or R, SAS macros proficiency, Proficient knowledge of clinical development process, Proficient knowledge of industry standards (CDISC), Ability to apply programming knowledge to problem solving, Ability to manage relevant documentation, Ability to influence stakeholders on Programming related items, Current knowledge of technical requirements, Current knowledge of regulatory requirements", "qualificationsPreferred" : "Broad experience across multiple therapeutic areas, Experience across all phases of clinical trials, Experience in regulatory submissions, Experience in regulatory interactions", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**Introduction to role:** This role is based in Barcelona, with an on-site commitment of three days a week. Fluency in English is required. Are you ready to combine scientific rigor with data-driven programming to accelerate therapies that can change patients’ lives? In this role, you will lead and deliver statistical programming that turns complex clinical data into clear, decision-ready evidence for global studies. You will join our Biometrics community in AstraZeneca’s R&D global hub in Barcelona, collaborating with statisticians, programmers, and data experts to shape end-to-end clinical deliverables. How will you use your expertise to influence pivotal study outcomes and strengthen the evidence behind regulatory submissions? ## **Accountabilities:** \\- Study Programming Leadership: Lead programming deliverables for clinical studies or small to medium projects, ensuring clarity of scope, robust plans, and aligned expectations. \\- Quality and Timeliness: Deliver high-quality programming outputs on schedule, embedding quality in your own work and guiding others to meet exacting standards. \\- Protocol and Development Alignment: Implement statistical programming aspects of protocols and clinical development plans, translating scientific intent into reliable datasets and analyses. \\- Independent Programming Excellence: Program independently with high efficiency and precision, applying advanced techniques and macros to streamline workflows. \\- Specifications and Documentation: Write clear programming specifications and oversee completeness of all relevant documentation to support audit-ready deliverables. \\- Standards and Automation: Ensure adherence to CDISC and internal standards; promote and apply automation to enhance efficiency and consistency across studies. \\- Continuous Improvement: Contribute to or drive best practices and technical initiatives that elevate quality, speed, and effectiveness within the function. \\- Risk Management: Identify, manage, and communicate programming risks proactively, maintaining delivery momentum and enabling informed decisions. \\- Cross-Functional Collaboration: Work closely with statisticians, lead programmers, data managers, and study leaders to align on priorities and resolve issues rapidly. \\- Vendor Partnership: Collaborate with contract programming providers to ensure outcomes meet AstraZeneca’s standards and business needs. \\- Stakeholder Influence: Provide subject matter expertise on programming topics, shaping study strategies and decisions. \\- Project Management: Apply project management principles to plan, track, and deliver programming aspects of drug or technical projects. ## **Essential Skills/Experience:** \\- Degree in Mathematics (i.e., Applied Math, Engineering, etc.), Statistics, Computer Science, Life Science, or equivalent. \\- Excellent programming skills in SAS (or R) and SAS macros. \\- Proficient knowledge of the clinical development process and industry standards (CDISC). \\- Ability to apply programming knowledge to problem solving. \\- Ability to manage relevant documentation. \\- Ability to influence relevant stakeholders on Programming related items. \\- Current knowledge of technical and regulatory requirements relevant to the role. ## **Desirable Skills/Experience:** \\- Broad experience across multiple therapeutic areas and across all phases of clinical trials. \\- Experience in regulatory submissions and interactions. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. **Why AstraZeneca:** Here, your programming turns raw clinical data into insights that shape trial decisions and submissions, directly impacting patients worldwide. You will work with cutting-edge methods and diverse specialists who challenge assumptions, share knowledge, and support bold ideas—balancing ambition with kindness to help you grow. We prize curiosity and resilience, empowering you to improve processes, learn from setbacks, and contribute visibly across therapy areas. This is a place where evidence matters and your craft can unlock better, faster routes to medicines. **Call to Action:** If you’re ready to lead study programming that transforms data into decisive evidence and advances life-changing medicines, take the next step and apply today! **Date Posted** 10-jun-2026 **Closing Date** 30-jun-2026 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.", "summaryDescription" : "Senior Statistical Programmer at Our Biometrics Community. Skills: Statistical programming, SAS, CDISC. Lead programming deliverables for clinical studies. 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As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in target language reflecting local mathematics practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (French) at LILT. Skills: Mathematics, AI benchmarking, French language. Create mathematical scenarios. 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As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. 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We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (Mandarin) at LILT. Skills: Mathematics, AI benchmarking. Create mathematical scenarios. 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As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in target language reflecting local mathematics practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (Russian) at LILT. Skills: Mathematics, AI benchmarking. Create mathematical scenarios. Evaluate AI systems", "postedDate" : "2026-06-11T17:40:59.297", "createdAt" : "2026-06-11T17:40:59.297", "lastUpdated" : "2026-06-13T06:31:20.328", "ingestTimestamp" : "2026-06-11T17:40:59.297", "mongoId" : "6a2a714174d8ee00a0648bb1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Applied mathematics", "Probability and statistics", "Computational mathematics", "Physics", "Mathematics", "AI benchmarking", "Local mathematics practices" ], "skillCount" : 7, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 565.0008, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a25822274d8ee00a0196d81", "title" : "Casual Foundation Studies Teacher - Mathematics", "company" : "RMIT University Pathways", "salary" : { "min" : 86.49, "max" : 86.49, "currency" : "USD", "frequency" : "yearly" }, "location" : "Melbourne", "locations" : [ "Melbourne", "Australia" ], "certifications" : [ "Formal qualification in the delivery of education", "TESOL" ], "timestamp" : "2026-06-11T21:27:35.319", "fingerprint" : "f40260ce034baf6df62f81a7710218473801c51d42a70a44f2a2694e6a34dd16", "source" : "workday", "language" : "en", "applyUrl" : "https://rmit.wd3.myworkdayjobs.com/Job_On_Campus/job/Melbourne/Casual-Foundation-Studies-Teacher---Maths_JR48639", "externalId" : "JR48639", "locationPoint" : "53.88755,-0.85925", "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "PART_TIME", "professionalSkills" : [ "Foundation Studies", "Mathematics", "Statistics", "Probability", "Teaching delivery", "Curriculum development", "Academic English", "Study skills" ], "hardSkillsList" : [ "Teaching delivery", "Assessment", "Monitoring academic progress", "Curriculum development", "Statistics", "Probability", "Univariate data", "Bivariate data", "Time series", "Distributions", "Sampling", "Hypothesis testing" ], "softSkillsList" : [ "Inclusion", "Imagination", "Integrity", "Courage", "Passion", "Impact" ], "hardSkills" : [ { "name" : "Teaching delivery", "level" : "intermediate" }, { "name" : "Assessment", "level" : "intermediate" }, { "name" : "Monitoring academic progress", "level" : "intermediate" }, { "name" : "Curriculum development", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Probability", "level" : "intermediate" }, { "name" : "Univariate data", "level" : "intermediate" }, { "name" : "Bivariate data", "level" : "intermediate" }, { "name" : "Time series", "level" : "intermediate" }, { "name" : "Distributions", "level" : "intermediate" }, { "name" : "Sampling", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inclusion" }, { "name" : "Imagination" }, { "name" : "Integrity" }, { "name" : "Courage" }, { "name" : "Passion" }, { "name" : "Impact" } ], "majorSkills" : "Mathematics, Statistics, Probability, Foundation Studies", "majorSkillsList" : [ "Mathematics", "Statistics", "Probability", "Foundation Studies" ], "coreResponsibilities" : "Deliver Foundation Studies Mathematical courses, Assess students, Monitor academic progress of students, Contribute to the development of the Foundation Studies, Provide an outstanding student experience, Assist Foundation STEM students develop skills and knowledge", "teamCollaboration" : "Constructive and proactive member of a team", "domainKnowledge" : "Foundation Studies; Mathematics; Statistics; Probability; International students; Tertiary studies; Higher education programs", "domainList" : [ "foundation-studies", "mathematics", "statistics", "probability", "international-students", "tertiary-studies", "higher-education-programs" ], "domainSpecificKnowledge" : [ "Foundation Studies", "Mathematics", "Statistics", "Probability", "International students", "Tertiary studies", "Higher education programs" ], "continuousLearning" : "Professional development opportunities", "problemSolvingSkills" : "Identify learning problems in students; Propose and implement effective strategies", "specialRequirements" : "Working with Children Check, National Police Check", "outcomesObjectives" : "Equip international students with skills and capabilities for higher education entry; Prepare students for seamless transition into higher education programs; Assist students to become independent, critical and lifelong learners; Maximise student potential for success in Australian university context", "qualificationsBasic" : "Demonstrated skills and experience in delivering and assessing Foundation Studies or equivalent courses, Experience in relevant industry and substantial discipline knowledge, Capacity to identify learning problems in students, propose and implement effective strategies, Demonstrated ability to contribute effectively as a constructive and proactive member of a team, Demonstrated skills in the use of relevant information and communication technologies, A recognised degree relevant to the course being taught, A formal qualification in the delivery of education OR minimum two years’ relevant teaching experience, including breadth of experience in delivering to students from non-English speaking backgrounds", "qualificationsPreferred" : "Experience teaching in a Foundation Studies or a year 12 equivalent program educating international, Experience teaching in a tertiary setting, TESOL (English Language Teaching Qualification) for teachers responsible for English subject areas, Proven collegiality and the ability to share ideas, Knowledge of current pedagogical practices", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Overview: * Casual hourly rate: Teaching rate is $86.49 and the non-teaching rate is $66.29 * Semester 2 dates: 13 July 2026 to 20 November 2026 * Excellent office location - Franklin Street, Melbourne * Discipline area: Mathematics (Statistics and Probability) * Seeking applications from qualified teachers with experience in teaching international students **About RMIT University Pathways (RMIT UP)** RMIT UP, owned by RMIT University, provides education solutions for international students, academics, and professionals in Australia and globally. Our mission is to offer transformative learning experiences and pathways that open global opportunities, guided by RMIT’s values of inclusion, imagination, integrity, courage, passion, and impact. We place student and customer experience at the forefront of everything we do. Our key programs include Foundation Studies, ELICOS English for Academic Purposes (EAP), language testing, and Informit, a leading research database focused on Australasian content. The RMIT UP Foundation Studies Program is delivered to an Australian Year 12 comparable standard. It is nationally recognised as a program that equips international students with the skills and capabilities to seek entry into higher education programs in Australia. This program is designed to prepare students for a seamless transition into a range of higher education programs. It develops a mix of discipline knowledge, academic English and study skills in a supportive, flexible and learner-centred environment. It aims to assist students to become independent, critical and lifelong learners and to maximise their potential for success in an Australian university context. **About the role** In this position, you will be responsible for the teaching delivery of one of RMIT UP’s four Foundation Studies Mathematical courses. Duties include assessment, monitoring academic progress of students, contributing to the development of the Foundation Studies curriculum and providing an outstanding student experience. This course is designed to assist Foundation STEM students develop the skills and knowledge necessary for further tertiary studies. Key subject themes include: * Statistics and Probability: This skill-based course introduces the mathematical skills required for further tertiary study developing knowledge of univariate and bivariate data, time series, probability and their distributions, sampling and hypothesis testing. **Course Descriptions** Here are the course descriptions for subjects taught in the Foundation Studies program in RMIT UP- (Click “View Plan”) **About You** To be successful in this position you will have: **Essential****** * Demonstrated skills and experience in delivering and assessing Foundation Studies or equivalent courses * Experience in relevant industry and substantial discipline knowledge as it relates to this position * Capacity to identify learning problems in students, propose and implement effective strategies * Demonstrated ability to contribute effectively as a constructive and proactive member of a team * Demonstrated skills in the use of relevant information and communication technologies * A recognised degree relevant to the course being taught plus: * A formal qualification in the delivery of education OR minimum two years’ relevant teaching experience, including breadth of experience in delivering to students from non-English speaking backgrounds. * The minimum requirements for teachers primarily responsible for academic English language subject areas are: * A recognised degree AND * An appropriate English language teaching qualification AND * 2 years ESL/EFL teaching experience **Desirable****** * Experience teaching in a Foundation Studies or a year 12 equivalent program educating international students; * Experience teaching in a tertiary setting. * TESOL (English Language Teaching Qualification) for teachers responsible for English subject areas. * Proven collegiality and the ability to share ideas * Knowledge of current pedagogical practices **To Apply** * Please submit your CV and a cover letter addressed to the HR team, outlining your suitability for the position, by clicking the ‘Apply’ button. * For more details, refer to the Position Description **What we offer you** We value our people and are committed to providing a supportive, inclusive, and rewarding work environment. As part of our team, you’ll enjoy: * Employee discounts at leading retailers. * A strong focus on health and wellbeing, including, Employee Assistance Program (EAP) access * Professional development opportunities including access to LinkedIn Learning. **Additional Information** * Pre-employment Checks: Appointment is subject to a successful Working with Children Check and National Police Check. * Visit our website: [www.rmit.edu.au/up](https://auc-word-edit.officeapps.live.com/we/www.rmit.edu.au/up) * Email HR: [**applications.rmit.up @rmit.edu.au**](mailto:applications.rmit.up@rmit.edu.au) _(Please note: Applications will NOT be accepted via this email. To apply, submit your application via our careers website.)_ * Please note that we review and interview applications on a rolling basis, so we encourage you to apply as soon as possible rather than waiting until the closing date. **Our Commitment to Inclusion** At RMIT UP, we foster a culture of safety, wellbeing, and inclusion, ensuring everyone feels valued and respected. We embrace diversity and treat all individuals with fairness, regardless of gender, gender identity, marital or family status, sexual orientation, age, ethnicity, religious beliefs, cultural or socio-economic background, perspectives, or experiences. We are an equal opportunity employer committed to being a child-safe organisation. We actively encourage applications from all sectors of the community, including Aboriginal and/or Torres Strait Islander candidates. As a Disability Confident Recruitment Team, we are happy to adjust the recruitment process to meet accessibility needs. Please contact us at [**applications.rmit.up @rmit.edu.au**](mailto:applications.rmit.up@rmit.edu.au) with your preferred communication method, and we will be in touch to discuss your requirements. Read our Child Safety Policy: [Child Safety Policy](https://www.rmit.edu.au/about/our-locations-and-facilities/facilities/safety-security/child-safety) We are a Circle Back Initiative Employer – we commit to responding to every applicant. ## Applications Close: 27 June 2026 11.59 pm RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.", "summaryDescription" : "Casual Foundation Studies Teacher - Mathematics at RMIT University Pathways. Skills: Mathematics, Statistics, Probability, Foundation Studies. Deliver Foundation Studies Mathematical courses. Assess students", "postedDate" : "2026-06-09T08:38:41.378", "createdAt" : "2026-06-11T08:38:41.308", "lastUpdated" : "2026-06-11T21:27:35.319", "ingestTimestamp" : "2026-06-11T08:38:41.308", "mongoId" : "6a25822274d8ee00a0196d81", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://rmit.wd3.myworkdayjobs.com/Job_On_Campus/job/Melbourne/Casual-Foundation-Studies-Teacher---Maths_JR48639", "salaryAnnualMin" : 179899, "salaryAnnualMax" : 179899, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Teaching delivery", "Assessment", "Monitoring academic progress", "Curriculum development", "Statistics", "Probability", "Univariate data", "Bivariate data", "Time series", "Distributions", "Sampling", "Hypothesis testing", "Inclusion", "Imagination", "Integrity", "Courage", "Passion", "Impact", "Mathematics", "Foundation Studies", "Academic English", "Study skills", "International students", "Tertiary studies", "Higher education programs", "Formal qualification in the delivery of education", "TESOL" ], "skillCount" : 27, "jobCategory" : "education", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 564.18976, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a714074d8ee00a0648b83", "title" : "Subject Matter Expert – Mathematics (Japanese)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 7500000.0, "max" : 1.2E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Subject Matter Expert – Mathematics in the Technology industry in Japan, adjusted for remote work and contract employment type." }, "location" : "Japan (Remote)", "locations" : [ "Japan (Remote)" ], "timestamp" : "2026-06-13T10:20:02.795", "fingerprint" : "ed8bc9bb6ec72b06fe1f3d73e01436ed6ecd0c8e893b28d071ef125f130bde31", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/47b7a7fe-0186-49bd-94a0-2fc28e7858c9/application", "externalId" : "47b7a7fe-0186-49bd-94a0-2fc28e7858c9", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Japan", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Japan", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Mathematics", "Applied mathematics", "Probability and statistics", "Computational mathematics", "Physics" ], "hardSkillsList" : [ "Mathematics content evaluation", "Scoring rubrics application" ], "hardSkills" : [ { "name" : "Mathematics content evaluation", "level" : "intermediate" }, { "name" : "Scoring rubrics application", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI benchmarking, Content creation", "majorSkillsList" : [ "Mathematics", "AI benchmarking", "Content creation" ], "coreResponsibilities" : "Create mathematical scenarios in target language, Adapt scoring rubrics, Apply scoring rubrics, Evaluate AI-generated responses, Evaluate human responses, Review submissions for accuracy, Review submissions for regulatory alignment, Review submissions for professional quality, Score submissions, Provide expert feedback, Contribute to gold standard solutions", "domainKnowledge" : "AI systems; Locale-specific contexts; Mathematical environments", "domainList" : [ "ai-systems", "locale-specific-contexts", "mathematical-environments" ], "domainSpecificKnowledge" : [ "AI systems", "Locale-specific contexts", "Mathematical environments" ], "communicationSkills" : "Professional English proficiency", "outcomesObjectives" : "High-quality mathematical scenarios; High-quality gold standard solutions", "qualificationsBasic" : "5+ years of experience in Mathematics, Native in the target language, Professional English proficiency, Ability to write and evaluate professional-grade mathematics content in the target language", "qualificationsPreferred" : "Knowledge of target local frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking experienced professionals in Mathematics to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in target language reflecting local mathematics practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (Japanese) at LILT. Skills: Mathematics, AI benchmarking, Content creation. Create mathematical scenarios in target language. Adapt scoring rubrics", "postedDate" : "2026-06-11T18:37:25.242", "createdAt" : "2026-06-11T18:37:25.242", "lastUpdated" : "2026-06-13T10:20:02.795", "ingestTimestamp" : "2026-06-11T18:37:25.242", "mongoId" : "6a2a714074d8ee00a0648b83", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mathematics content evaluation", "Scoring rubrics application", "Mathematics", "AI benchmarking", "Content creation", "Applied mathematics", "Probability and statistics", "Computational mathematics", "Physics", "AI systems", "Locale-specific contexts", "Mathematical environments" ], "skillCount" : 12, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 563.8594, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a714274d8ee00a0648bbb", "title" : "Subject Matter Expert – Mathematics (Indonesian)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 7.5E8, "max" : 1.2E9, "currency" : "IDR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Subject Matter Expert – Mathematics in the Technology industry in Indonesia, adjusted for remote work and contract employment." }, "location" : "Indonesia (Remote)", "locations" : [ "Indonesia (Remote)" ], "timestamp" : "2026-06-13T10:39:38.550", "fingerprint" : "a11c34d6cc783de68941c5ca51d5b2a279097e47f4129bd6881babca08f2338e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/fbe31077-8043-4f1c-bf40-5a7eac2622ef/application", "externalId" : "fbe31077-8043-4f1c-bf40-5a7eac2622ef", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Indonesia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Indonesia", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Mathematics" ], "hardSkillsList" : [ "Probability and statistics", "Computational mathematics" ], "hardSkills" : [ { "name" : "Probability and statistics", "level" : "intermediate" }, { "name" : "Computational mathematics", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI benchmarking", "majorSkillsList" : [ "Mathematics", "AI benchmarking" ], "coreResponsibilities" : "Create mathematical scenarios, Create domain-specific tasks in target language, Adapt scoring rubrics, Apply scoring rubrics, Evaluate AI-generated responses, Evaluate human responses, Review submissions for accuracy, Review submissions for regulatory alignment, Review submissions for professional quality, Provide expert feedback, Contribute to gold standard solutions", "domainKnowledge" : "Applied mathematics; Probability and statistics; Computational mathematics; AI systems", "domainList" : [ "applied-mathematics", "probability-and-statistics", "computational-mathematics", "ai-systems" ], "domainSpecificKnowledge" : [ "Applied mathematics", "Probability and statistics", "Computational mathematics", "AI systems" ], "outcomesObjectives" : "Evaluate AI systems in locale-specific contexts", "qualificationsBasic" : "Native in target language, Professional English proficiency, 5+ years of experience in Mathematics, Knowledge of target local frameworks, Write and evaluate professional-grade mathematics content in target language", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking experienced professionals in Mathematics to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in target language reflecting local mathematics practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (Indonesian) at LILT. Skills: Mathematics, AI benchmarking. Create mathematical scenarios. Create domain-specific tasks in target language", "postedDate" : "2026-06-11T17:12:46.671", "createdAt" : "2026-06-11T17:12:46.671", "lastUpdated" : "2026-06-13T10:39:38.550", "ingestTimestamp" : "2026-06-11T17:12:46.671", "mongoId" : "6a2a714274d8ee00a0648bbb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Probability and statistics", "Computational mathematics", "Mathematics", "AI benchmarking", "Applied mathematics", "AI systems" ], "skillCount" : 6, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 562.0801, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a714174d8ee00a0648ba9", "title" : "Subject Matter Expert – Mathematics (Hindi)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Subject Matter Expert – Mathematics (Hindi) in India, adjusted for the technology industry and remote work." }, "location" : "India (Remote)", "locations" : [ "India (Remote)" ], "timestamp" : "2026-06-12T21:09:51.063", "fingerprint" : "9fd87c8fb1eeb29b2c12d546cf2c255713de7ba2234b4a594432f528519f6f15", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/ecf1b8e5-318c-4b17-85a6-936ab754dd5a/application", "externalId" : "ecf1b8e5-318c-4b17-85a6-936ab754dd5a", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Mathematics" ], "hardSkillsList" : [ "Applied mathematics", "Probability", "Statistics", "Computational mathematics", "Physics" ], "hardSkills" : [ { "name" : "Applied mathematics", "level" : "intermediate" }, { "name" : "Probability", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Computational mathematics", "level" : "intermediate" }, { "name" : "Physics", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI benchmarking", "majorSkillsList" : [ "Mathematics", "AI benchmarking" ], "coreResponsibilities" : "Create mathematical tasks in Hindi, Adapt scoring rubrics, Evaluate AI-generated responses, Evaluate human responses, Review submissions for accuracy, Review submissions for regulatory alignment, Review submissions for professional quality, Provide expert feedback, Contribute to gold standard solutions", "domainKnowledge" : "Local mathematics practices", "domainList" : [ "local-mathematics-practices" ], "domainSpecificKnowledge" : [ "Local mathematics practices" ], "outcomesObjectives" : "Shape AI understanding and performance", "qualificationsBasic" : "Native in Hindi, Professional English proficiency, 5+ years of experience in Mathematics, Knowledge of local frameworks, Write and evaluate mathematics content in Hindi", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking experienced professionals in Mathematics to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in Hindi reflecting local mathematics practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (Hindi) at LILT. Skills: Mathematics, AI benchmarking. Create mathematical tasks in Hindi. Adapt scoring rubrics", "postedDate" : "2026-06-11T16:26:53.080", "createdAt" : "2026-06-11T16:26:53.080", "lastUpdated" : "2026-06-12T21:09:51.063", "ingestTimestamp" : "2026-06-11T16:26:53.080", "mongoId" : "6a2a714174d8ee00a0648ba9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Applied mathematics", "Probability", "Statistics", "Computational mathematics", "Physics", "Mathematics", "AI benchmarking", "Local mathematics practices" ], "skillCount" : 8, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 561.846, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a714074d8ee00a0648b7b", "title" : "Subject Matter Expert – Mathematics (Bengali)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Subject Matter Expert – Mathematics in India, adjusted for the technology industry and remote work." }, "location" : "India (Remote)", "locations" : [ "India (Remote)" ], "timestamp" : "2026-06-14T03:58:18.918", "fingerprint" : "856f14939eeaeb56b519163cbd973e03a85febdbc100fd0a51132df68ec562fb", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/86f7e1af-1bb3-4ffc-a7a8-374377f597db/application", "externalId" : "86f7e1af-1bb3-4ffc-a7a8-374377f597db", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Mathematics expertise" ], "hardSkillsList" : [ "Applied mathematics", "Probability and statistics", "Computational mathematics", "Physics" ], "hardSkills" : [ { "name" : "Applied mathematics", "level" : "intermediate" }, { "name" : "Probability and statistics", "level" : "intermediate" }, { "name" : "Computational mathematics", "level" : "intermediate" }, { "name" : "Physics", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI benchmarking", "majorSkillsList" : [ "Mathematics", "AI benchmarking" ], "coreResponsibilities" : "Create domain-specific tasks in target language, Adapt and apply scoring rubrics, Evaluate AI-generated responses, Evaluate human responses, Review submissions for accuracy, Review submissions for regulatory alignment, Review submissions for professional quality, Provide expert feedback, Contribute to gold standard solutions", "domainKnowledge" : "Mathematics; AI systems", "domainList" : [ "mathematics", "ai-systems" ], "domainSpecificKnowledge" : [ "Mathematics", "AI systems" ], "qualificationsBasic" : "Native in target language, Professional English proficiency, 5+ years of experience in Mathematics, Knowledge of target local frameworks, Write and evaluate professional-grade mathematics content in target language", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking experienced professionals in Mathematics to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in target languagereflecting local mathematics practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (Bengali) at LILT. Skills: Mathematics, AI benchmarking. Create domain-specific tasks in target language. Adapt and apply scoring rubrics", "postedDate" : "2026-06-11T20:48:58.511", "createdAt" : "2026-06-11T20:48:58.511", "lastUpdated" : "2026-06-14T03:58:18.918", "ingestTimestamp" : "2026-06-11T20:48:58.511", "mongoId" : "6a2a714074d8ee00a0648b7b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Applied mathematics", "Probability and statistics", "Computational mathematics", "Physics", "Mathematics", "AI benchmarking", "Mathematics expertise", "AI systems" ], "skillCount" : 8, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 561.0748, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a714174d8ee00a0648bb2", "title" : "Subject Matter Expert – Mathematics (Vietnamese)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 7.2E8, "max" : 1.2E9, "currency" : "VND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Subject Matter Expert in Mathematics in Vietnam, adjusted for the technology industry and remote work." }, "location" : "Vietnam (Remote)", "locations" : [ "Vietnam (Remote)" ], "timestamp" : "2026-06-14T20:49:53.838", "fingerprint" : "4617e60088955a14042d46750e2b7724358a79381cf7eabc00c33a0d947ba472", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/e47c578c-6d3f-44ae-beea-f2aee0a5d2e7/application", "externalId" : "e47c578c-6d3f-44ae-beea-f2aee0a5d2e7", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Vietnam", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Vietnam", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Mathematics expertise", "AI benchmarking" ], "hardSkillsList" : [ "Applied mathematics", "Probability and statistics", "Computational mathematics", "Physics" ], "hardSkills" : [ { "name" : "Applied mathematics", "level" : "intermediate" }, { "name" : "Probability and statistics", "level" : "intermediate" }, { "name" : "Computational mathematics", "level" : "intermediate" }, { "name" : "Physics", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI benchmarking, Content creation", "majorSkillsList" : [ "Mathematics", "AI benchmarking", "Content creation" ], "coreResponsibilities" : "Create realistic, domain-specific tasks in target language, Adapt and apply clear scoring rubrics, Evaluate AI-generated and human responses, Review submissions for accuracy, Review submissions for regulatory alignment, Review submissions for professional quality, Provide expert feedback, Contribute to high-quality gold standard solutions", "domainKnowledge" : "Mathematics; AI systems", "domainList" : [ "mathematics", "ai-systems" ], "domainSpecificKnowledge" : [ "Mathematics", "AI systems" ], "communicationSkills" : "Professional English proficiency", "outcomesObjectives" : "Shape how AI understands and performs; Evaluate AI systems", "qualificationsBasic" : "Native in target language, Professional English proficiency, 5+ years of experience in Mathematics, Knowledge of target local frameworks, Ability to write and evaluate professional-grade mathematics content in target language, High attention to detail", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking experienced professionals in Mathematics to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world mathematical scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in target language reflecting local mathematics practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Mathematics (Vietnamese) at LILT. Skills: Mathematics, AI benchmarking, Content creation. Create realistic, domain-specific tasks in target language. Adapt and apply clear scoring rubrics", "postedDate" : "2026-06-11T19:23:20.457", "createdAt" : "2026-06-11T19:23:20.457", "lastUpdated" : "2026-06-14T20:49:53.838", "ingestTimestamp" : "2026-06-11T19:23:20.457", "mongoId" : "6a2a714174d8ee00a0648bb2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Applied mathematics", "Probability and statistics", "Computational mathematics", "Physics", "Mathematics", "AI benchmarking", "Content creation", "Mathematics expertise", "AI systems" ], "skillCount" : 9, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 556.6243, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "AI" }, { "id" : "6a2a8fec74d8ee00a068a6b2", "title" : "Mathematics AI Training Expert - PhD", "industry" : "STEM ", "salary" : { "min" : 40.0, "max" : 40.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Estonia", "locations" : [ "Estonia" ], "timestamp" : "2026-06-14T22:14:57.200", "fingerprint" : "1b2c9d4ac0c77102b7b46b15101f165a9e87bf5ad27d7d345ea5759f0abdcfd3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/d4cb134b-6f86-474b-891c-5bf646609e71/application", "externalId" : "d4cb134b-6f86-474b-891c-5bf646609e71", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "minimumEducation" : "Master's", "technicalSkills" : "Python, numpy, scipy, pandas", "professionalSkills" : [ "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics" ], "hardSkillsList" : [ "Numerical methods", "Computational approaches" ], "hardSkills" : [ { "name" : "Numerical methods", "level" : "intermediate" }, { "name" : "Computational approaches", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI Training, Problem Design", "majorSkillsList" : [ "Mathematics", "AI Training", "Problem Design" ], "coreResponsibilities" : "Design advanced mathematical problems, Create deterministic problems, Write complete solutions, Document the reasoning process, Develop problems testing mathematical reasoning, Use Python to build workflows, Use specialized tools to build workflows, Ensure outputs are technically precise, Ensure outputs are reproducible, Ensure outputs are well-written", "domainKnowledge" : "Frontier AI models; Model reasoning", "domainList" : [ "frontier-ai-models", "model-reasoning" ], "domainSpecificKnowledge" : [ "Frontier AI models", "Model reasoning" ], "communicationSkills" : "Technical writing", "documentationSkills" : "Documentation of reasoning process", "problemSolvingSkills" : "Mathematical reasoning", "outcomesObjectives" : "Design problems with one correct answer; Submit problems with verified solutions", "qualificationsBasic" : "Master's or PhD in Mathematics, Research or industry experience, Python comfort, Solid grasp of algorithms, Ability to design original problems, Excellent attention to detail, Technical writing skills in English", "qualificationsPreferred" : "Experience with symbolic math systems, Experience with theorem provers, Experience with optimization solvers, Experience with other mathematical software, Background in olympiad-level problem design, Background in graduate-level problem design, Background in research-level problem design, Experience evaluating model reasoning, Experience benchmarking model reasoning, Experience with technical assessment design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. - Location: Remote - Type: Contract / Part-time - Commitment: 20 hours per week - Compensation: Up to 40 USD / hr - Project duration: 2 months, with potential extension - Availability: Immediate start ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD. Skills: Mathematics, AI Training, Problem Design. Design advanced mathematical problems. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. 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Governeour", "67206" ], "certifications" : [ "Kansas State teaching license", "Math Endorsement" ], "timestamp" : "2026-06-15T04:59:39.720", "fingerprint" : "a3025f14c2e563ee0a5c9ca67276f614a0dc7b9b3721027fd411419c7003c01e", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa308.taleo.net/careersection/ex/jobdetail.ftl?job=97773", "externalId" : "97773", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Team player", "Decision making", "Prioritization" ], "hardSkillsList" : [ "Teaching methods", "Educational pedagogy" ], "softSkillsList" : [ "Professional manner", "Good judgment", "Confidentiality" ], "hardSkills" : [ { "name" : "Teaching methods", "level" : "intermediate" }, { "name" : "Educational pedagogy", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Professional manner" }, { "name" : "Good judgment" }, { "name" : "Confidentiality" } ], "majorSkills" : "Mathematics instruction, Student assessment, Classroom management", "majorSkillsList" : [ "Mathematics instruction", "Student assessment", "Classroom management" ], "teamCollaboration" : "Team player", "domainKnowledge" : "Federal laws regarding education; State laws regarding education", "domainList" : [ "federal-laws-regarding-education", "state-laws-regarding-education" ], "domainSpecificKnowledge" : [ "Federal laws regarding education", "State laws regarding education" ], "toolProficiency" : [ "SMART boards", "IPads", "Computers", "Copiers", "Scanners", "Fax machine" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Student progress reports", "continuousLearning" : "Teacher training workshops; Educational conferences", "specialRequirements" : "Respond rapidly in emergency situations, Stand for long periods, Bend, Twist, Balance, Stoop, Climb steps, Reach overhead, Lift up to 20 pounds, Limited travel between schools, Limited travel to central offices", "qualificationsBasic" : "Kansas State teaching license, Math Endorsement", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Mathematics Teacher-Middle Position Function: Teaches and facilitates learning and maintains academic progress, discipline, and records for students at the high school grade level. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD. Skills: Mathematics, AI Training, Problem Design. Design advanced mathematical problems. Create deterministic problems", "postedDate" : "2026-06-11T17:41:39.269", "createdAt" : "2026-06-11T17:41:39.269", "lastUpdated" : "2026-06-14T20:40:47.892", "ingestTimestamp" : "2026-06-11T17:41:39.269", "mongoId" : "6a2a8fec74d8ee00a068a6b9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 40, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Mathematical reasoning", "Technical writing", "Mathematics", "AI Training", "Problem Design", "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics", "Numerical methods", "Computational approaches", "Frontier AI models", "Model reasoning", "Technical domains" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "stem-", "dataQualityScore" : 0.7777778, "_score" : 547.829, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c722174d8ee00a092ff94", "title" : "Researcher (m/w/d) – Mathematics, Computational Science & Data Science", "company" : "EVERIENCE", "industry" : "Information Technology And Services", "salary" : { "min" : 58000.0, "max" : 85000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Researcher in Mathematics, Computational Science & Data Science in Amsterdam, Netherlands, adjusted for the consulting industry." }, "location" : "Amsterdam, NH, Netherlands", "locations" : [ "Amsterdam", "NH", "Netherlands" ], "timestamp" : "2026-06-15T07:00:41.551", "fingerprint" : "16b77ef7aa09bc1574d773d3687171b275bed1dea5f288243c83de49ceecaaea", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EVERIENCE/744000131665970-researcher-m-w-d-mathematics-computational-science-data-science", "externalId" : "744000131665970", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, R, MATLAB, Julia, Data analysis, Machine learning, Optimization, Simulation, Predictive modelling, Cloud computing, High-performance computing, Large-scale data processing, Artificial intelligence, Digital twin technologies", "professionalSkills" : [ "Quantitative analysis", "Computational techniques", "Business challenges", "Data-driven solutions", "Innovation initiatives", "R&D programs", "Scalable solutions", "Strategic decision-making", "Scientific rigor", "Practical application", "Multidisciplinary teams", "Academic institutions", "Research capabilities", "Operational excellence", "Value creation" ], "hardSkillsList" : [ "Mathematical modelling", "Statistical analysis", "Computational methods", "Data analysis", "Machine 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"Mathematics, Computational Science, Data Science, Machine learning, Modelling", "majorSkillsList" : [ "Mathematics", "Computational Science", "Data Science", "Machine learning", "Modelling" ], "coreResponsibilities" : "Develop mathematical models, Apply statistical models, Apply computational models, Address business problems, Address technical problems, Design algorithms, Implement algorithms, Validate algorithms, Design simulations, Implement simulations, Validate simulations, Design data-driven solutions, Implement data-driven solutions, Validate data-driven solutions, Conduct research, Conduct analysis, Support innovation initiatives, Support R&D programs, Translate research findings, Analyze large datasets, Analyze complex datasets, Identify patterns, Identify insights, Identify opportunities, Collaborate with engineers, Collaborate with researchers, Collaborate with data scientists, Collaborate with business stakeholders, Coordinate technical activities, Contribute to technical reports, Contribute to presentations, Contribute to scientific documentation, Stay informed about emerging technologies, Stay informed about methodologies, Stay informed about industry developments, Support continuous improvement, Improve research methods, Improve research tools, Improve research processes", "teamCollaboration" : "Multidisciplinary teams; External partners; Academic institutions; Engineers; Researchers; Data scientists; Business stakeholders; External suppliers; Contractors; Research partners", "domainKnowledge" : "AI-augmented digital services; Digital transformation; Artificial intelligence; Data-based value creation; Quantitative discipline; Mathematical modelling; Statistical analysis; Computational methods; Machine learning; Optimization techniques; Digital twin technologies", "domainList" : [ "ai-augmented-digital-services", "digital-transformation", "artificial-intelligence", "data-based-value-creation", "quantitative-discipline", "mathematical-modelling", "statistical-analysis", "computational-methods", "machine-learning", "optimization-techniques", "digital-twin-technologies" ], "domainSpecificKnowledge" : [ "AI-augmented digital services", "Digital transformation", "Artificial intelligence", "Data-based value creation", "Quantitative discipline", "Mathematical modelling", "Statistical analysis", "Computational methods", "Machine learning", "Optimization techniques", "Digital twin technologies" ], "communicationSkills" : "Explain complex concepts; Technical audiences; Non-technical audiences; Technical reports; Presentations; Scientific documentation", "documentationSkills" : "Scientific documentation", "continuousLearning" : "Continuous learning opportunities", "innovationCreativity" : "Innovation initiatives; R&D programs; Innovative environment; Cutting-edge research; Development initiatives", "problemSolvingSkills" : "Problem-solving skills; Analytical thinking", "qualificationsBasic" : "Master's degree or PhD, Understanding of mathematical modelling, Statistical analysis, Computational methods, Experience applying analytical techniques, Proficiency in Python, R, MATLAB, Julia, Experience with data analysis, Machine learning, Optimization, Simulation, Predictive modelling, Analytical thinking, Problem-solving skills, Excellent communication skills", "qualificationsPreferred" : "Experience in industrial, energy, engineering, research, or technology environment, Familiarity with cloud computing, High-performance computing, Large-scale data processing, Experience collaborating with universities, Research institutes, External technical partners, Publications, Conference presentations, Contributions to open-source projects, Experience with machine learning, Artificial intelligence, Optimization techniques, Digital twin technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Everience is an international consulting group delivering AI-augmented digital services. It combines expertise in digital transformation, artificial intelligence and data-based value creation, enabling companies to harness the potential of AI to support their businesses. With a 4,000-strong workforce across 18 locations in France and around the world, the group helps its clients to transform their user experience and to secure and leverage their data, devising new applications and co-creating the businesses of tomorrow. Our mission at Everience is to unleash the potential of digital technology to enable companies to focus on their value chain and increase their productivity and competitiveness. We provide a tailor-made response to the needs of our customers to help them build an efficient working environment, adapted to the needs of users by deploying a wide range of expertise: consulting, desktop engineering, user support, knowledge management, business support, cybersecurity, cloud and infrastructure management, smart office, IT logistics Everience operates in the Benelux and internationally and has 16 sites in Europe. The quality of our services and the excellence of the technical expertise of our employees is our priority Everience is recruiting... About the Role We are looking for a talented Researcher in Mathematics, Computational Science, and Data Science to join our Research & Development team. In this role, you will apply advanced analytical, mathematical, and computational techniques to solve complex technical and business challenges. You will work on the development of models, algorithms, simulations, and data-driven solutions that support innovation, operational excellence, and strategic decision-making. The role combines scientific rigor with practical application and offers opportunities to collaborate with multidisciplinary teams, external partners, and academic institutions. This position is ideal for someone who has developed strong expertise in a quantitative discipline and is looking to further grow their research and technical capabilities within an innovative environment. Key Responsibilities * Develop and apply mathematical, statistical, and computational models to address complex business and technical problems. * Design, implement, and validate algorithms, simulations, and data-driven solutions. * Conduct research and analysis to support innovation initiatives and R&D programs. * Translate research findings into practical recommendations and scalable solutions. * Analyze large and complex datasets to identify patterns, insights, and opportunities. * Collaborate with engineers, researchers, data scientists, and business stakeholders. * Coordinate technical activities involving external suppliers, contractors, and research partners. * Contribute to technical reports, presentations, and scientific documentation. * Stay informed about emerging technologies, methodologies, and industry developments within your field. * Support the continuous improvement of research methods, tools, and processes. Required Qualifications * Master's degree or PhD in Applied Mathematics, Data Science, Statistics, Computer Science, Operations Research, Computational Science, Engineering, Physics, or a related quantitative discipline. * Strong understanding of mathematical modelling, statistical analysis, and computational methods. * Experience applying analytical techniques to real-world problems. * Proficiency in one or more programming languages such as Python, R, MATLAB, Julia, or similar. * Experience working with data analysis, machine learning, optimization, simulation, or predictive modelling. * Strong analytical thinking and problem-solving skills. * Excellent communication skills with the ability to explain complex concepts to technical and non-technical audiences. ## Qualifications Preferred Qualifications * Experience in an industrial, energy, engineering, research, or technology environment. * Familiarity with cloud computing, high-performance computing, or large-scale data processing. * Experience collaborating with universities, research institutes, or external technical partners. * Publications, conference presentations, or contributions to open-source projects are an advantage. * Experience with machine learning, artificial intelligence, optimization techniques, or digital twin technologies. What We Are Looking For * Curious and research-driven mindset. * Strong quantitative and analytical capabilities. * Ability to work independently while collaborating effectively within multidisciplinary teams. * Attention to detail and commitment to scientific quality. * Ability to balance theoretical rigor with practical business impact. * Eagerness to learn, innovate, and contribute to cutting-edge research and development initiatives. What We Offer * Opportunity to work on challenging and impactful projects. * Collaboration with highly skilled researchers, engineers, and data professionals. * Access to modern tools, technologies, and research resources. * Professional development and continuous learning opportunities. * Competitive salary and benefits package. * Flexible and collaborative working environment. If you are passionate about using mathematics, computation, and data to solve meaningful problems, we would love to hear from you. ## Additional Information All our positions are open to both women and men and are, of course, open to people with disabilities.", "summaryDescription" : "Researcher (m/w/d) – Mathematics, Computational Science & Data Science at EVERIENCE. Skills: Mathematics, Computational Science, Data Science, Machine learning, Modelling. Develop mathematical models. Apply statistical models", "postedDate" : "2026-06-11T12:59:30.000", "createdAt" : "2026-06-14T07:44:40.882", "lastUpdated" : "2026-06-15T07:00:41.551", "ingestTimestamp" : "2026-06-14T07:44:40.882", "mongoId" : "6a2c722174d8ee00a092ff94", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Mathematical modelling", "Statistical analysis", "Computational methods", "Data analysis", "Machine learning", "Optimization", "Simulation", "Predictive modelling", "Curious", "Research-driven", "Quantitative", "Analytical", "Independent", "Commitment to quality", "Eagerness to learn", "Innovate", "Mathematics", "Computational Science", "Data Science", "Modelling", "Quantitative analysis", "Computational techniques", "Business challenges", "Data-driven solutions", "Innovation initiatives", "R&D programs", "Scalable solutions", "Strategic decision-making", "Scientific rigor", "Practical application", "Multidisciplinary teams", "Academic institutions", "Research capabilities", "Operational excellence", "Value creation", "AI-augmented digital services", "Digital transformation", "Artificial intelligence", "Data-based value creation", "Quantitative discipline", "Optimization techniques", "Digital twin technologies" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 543.9537, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a53d274d8ee00a06000ac", "title" : "Associate Director, Statistical Programming", "company" : "Dyne Therapeutics", "salary" : { "min" : 175000.0, "max" : 204000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-14T21:40:36.489", "fingerprint" : "11fc2c3b15fbae9f1f7b8f40aab615d499a6fc0347caf3706e293dcdce0aac25", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6017221004", "externalId" : "6017221004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "experienceLevel" : "Director", "technicalSkills" : "SAS, R, Python, CDISC, SDTM, ADaM, eCTD", "professionalSkills" : [ "Statistical programming", "Process optimization", "Innovation", "Consistency", "Technical leadership", "Submission readiness", "Resource planning", "Prioritization", "Automation initiatives" ], "hardSkillsList" : [ "Statistical analysis", "Data visualization", "Simulation", "Validation practices" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Simulation", "level" : "intermediate" }, { "name" : "Validation practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Statistical programming, CDISC standards, Regulatory submissions", "majorSkillsList" : [ "Statistical programming", "CDISC standards", "Regulatory submissions" ], "coreResponsibilities" : "Lead statistical programming activities, Oversee vendor programming activities, Contribute to process optimization, Provide technical leadership, Support alignment of resources, Assist in departmental strategies, Drive continuous improvement, Develop analysis datasets, Validate analysis datasets, Review analysis datasets, Maintain analysis datasets, Develop tables, Validate tables, Review tables, Maintain tables, Develop listings, Validate listings, Review listings, Maintain listings, Develop figures, Validate figures, Review figures, Maintain figures, Provide technical consultation, Perform statistical analyses, Perform simulations, Support advanced analytical solutions, Support data visualization solutions, Provide expertise for regulatory submissions, Oversee submission readiness activities, Coordinate vendor activities, Oversee vendor activities, Build reusable tools, Maintain reusable tools, Promote reusable tools, Build macros, Maintain macros, Promote macros, Build automation solutions, Maintain automation solutions, Promote automation solutions, Contribute to programming standards, Contribute to programming processes, Contribute to validation practices, Contribute to innovation initiatives, Mentor junior programmers, Provide technical guidance, Supervise programming teams, Lead programming teams, Supervise contractors, Lead contractors, Support resource planning, Support prioritization, Support coordination of deliverables", "teamCollaboration" : "Cross-functional stakeholders; Cross-functional teams; Biostatisticians; Data managers; Clinical operations; Vendors", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Clinical development process; Neuromuscular diseases; Muscle targeting; CNS targeting; Duchenne muscular dystrophy; Myotonic dystrophy type 1; Facioscapulohumeral muscular dystrophy; Pompe disease; Regulatory guidelines; eCTD standards", "domainList" : [ "clinical-development-process", "neuromuscular-diseases", "muscle-targeting", "cns-targeting", "duchenne-muscular-dystrophy", "myotonic-dystrophy-type-1", "facioscapulohumeral-muscular-dystrophy", "pompe-disease", "regulatory-guidelines", "ectd-standards" ], "domainSpecificKnowledge" : [ "Clinical development process", "Neuromuscular diseases", "Muscle targeting", "CNS targeting", "Duchenne muscular dystrophy", "Myotonic dystrophy type 1", "Facioscapulohumeral muscular dystrophy", "Pompe disease", "Regulatory guidelines", "eCTD standards" ], "continuousLearning" : "Stay current with industry trends; Stay current with best practices; Stay current with regulatory expectations; Stay current with emerging technologies", "innovationCreativity" : "Innovation initiatives", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "10 years statistical programming experience, Bachelor's degree, SAS proficiency, CDISC standards knowledge, Regulatory submission experience", "qualificationsPreferred" : "Advanced degree preferred, R experience preferred, Python experience preferred, Vendor programming experience preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for myotonic dystrophy type 1 (DM1) and Duchenne muscular dystrophy (DMD), and preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Role Summary: The Associate Director, Statistical Programming is accountable for program-specific and cross-study statistical programming activities, including oversight of vendor programming activities. In collaboration with cross-functional stakeholders, this position contributes to process optimization, innovation, and consistency across studies. This position provides technical leadership for statistical programming activities across multiple studies within a program, including oversight of vendor-related activities and implementation of data standards. In collaboration with cross-functional stakeholders, this role provides technical consultation to study teams and supports alignment of statistical programming resources and capabilities to meet organizational priorities. This role assists the Head of Statistical Programming in contributing to departmental strategies and driving the continuous improvement of departmental procedures, training, standards, and automation initiatives. This role is based in Waltham, MA. Primary Responsibilities Include: Lead and oversee statistical programming activities across multiple clinical trials and studies, ensuring high-quality deliverables, operational consistency, and adherence to timelines Collaborate with biostatisticians, data managers, clinical operations, vendors, and other cross-functional stakeholders to define programming strategies, priorities, and study requirements Develop, validate, review, and maintain analysis datasets (CDISC standards), tables, listings, and figures (TLFs) in accordance with regulatory guidelines, internal standards, and submission requirements Provide technical leadership and oversight for statistical programming deliverables across studies, including consistency of implementation and standards application. Review statistical analysis plans (SAPs) and provide strategic and operational input to support execution feasibility, cross-study consistency, and regulatory readiness Perform complex statistical analyses and simulations using SAS and/or R and support advanced analytical and data visualization solutions for clinical trial interpretation and decision-making Provide expertise in statistical programming for regulatory submissions (e.g., FDA, EMA), including electronic submission standards (eCTD), and oversee submission readiness activities across studies Coordinate and oversee vendor/FSP statistical programming activities across studies to ensure quality, compliance, and timely delivery Build, maintain, and promote reusable, software-agnostic tools, macros, and automation solutions to improve efficiency, scalability, and standardization Contribute to the evolution and implementation of departmental programming standards, processes, validation practices, and innovation initiatives Mentor and provide technical guidance to junior programmers and may supervise or lead small programming teams or contractors Support resource planning, prioritization, and coordination of programming deliverables across studies and programs Stay current with industry trends, best practices, regulatory expectations, and emerging technologies in statistical programming and data analysis Education, Experience, and Skills Requirements: Bachelor’s degree required; advanced degree preferred in statistics, biostatistics, computer science, life sciences, or a related field Minimum of 10 years of statistical programming experience within the pharmaceutical, biotechnology, including multi-study experience Advanced proficiency in SAS required; experience with R, Python preferred. Strong knowledge and applied experience with CDISC standards (SDTM, ADaM), regulatory submission requirements, and data standards Demonstrated experience supporting or leading regulatory submissions, including eCTD deliverables Experience coordinating vendor/FSP statistical programming activities across multiple studies preferred Demonstrated leadership and project management skills, including the ability to lead cross-functional initiatives and manage multiple priorities simultaneously Strong understanding of the clinical development process and cross-functional collaboration with Biostatistics, Data Management and Clinical Development organizations Excellent communication, interpersonal, and stakeholder management skills Detail-oriented with strong commitment to quality, compliance, consistency, and operational excellence Ability to adapt to changing priorities and contribute to departmental strategy, innovation, and continuous improvement initiatives #LI-Onsite MA Pay Range $175,000—$204,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Associate Director, Statistical Programming at Dyne Therapeutics. Skills: Statistical programming, CDISC standards, Regulatory submissions. Lead statistical programming activities. Oversee vendor programming activities", "postedDate" : "2026-06-11T21:22:41.314", "createdAt" : "2026-06-11T21:22:41.314", "lastUpdated" : "2026-06-14T21:40:36.489", "ingestTimestamp" : "2026-06-11T21:22:41.314", "mongoId" : "6a2a53d274d8ee00a06000ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 204000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Data visualization", "Simulation", "Validation practices", "Leadership", "Mentoring", "Statistical programming", "CDISC standards", "Regulatory submissions", "Process optimization", "Innovation", "Consistency", "Technical leadership", "Submission readiness", "Resource planning", "Prioritization", "Automation initiatives", "Project management", "Clinical development process", "Neuromuscular diseases", "Muscle targeting", "CNS targeting", "Duchenne muscular dystrophy", "Myotonic dystrophy type 1", "Facioscapulohumeral muscular dystrophy", "Pompe disease", "Regulatory guidelines", "eCTD standards" ], "skillCount" : 28, "jobCategory" : "other", "jobSubcategory" : "1220gl---data-analytics", "dataQualityScore" : 0.8888889, "_score" : 542.1419, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a65fe74d8ee00a062b5b4", "title" : "Senior Applied Scientist, Linear Personalization Experience Team (LPEX)", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, entertainment", "salary" : { "min" : 100000.0, "max" : 226000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:57:16.332", "fingerprint" : "ff9fe245c916a9197b09a903016a6bc3924cc8ce01cbcd77815a8528889ab239", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10444731/apply", "externalId" : "27354359-3b7b-4cee-b3e7-1a216b500170", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, R, Spark, MLlib, Tensorflow, numpy, scipy, scikit-learn, MxNet, Hadoop, AWS, S3, Redshift, SageMaker, EMR, Kinesis, Lambda, EC2", "professionalSkills" : [ "Science strategy", "Roadmap development", "ML lifecycle", "Recommendation systems", "Causal inference" ], "hardSkillsList" : [ "Machine learning", "Deep learning", "Model development", "Model evaluation", "Production deployment", "A/B testing", "Multivariate experiments", "Statistical methods" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Production deployment", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Multivariate experiments", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Personalization, Recommendation systems, MLOps", "majorSkillsList" : [ "Machine learning", "Personalization", "Recommendation systems", "MLOps" ], "coreResponsibilities" : "Define science strategy, Drive science roadmap, Translate research advances, Design machine learning models, Develop machine learning models, Deploy machine learning models, Own ML lifecycle, Formulate problems, Analyze data, Engineer features, Develop models, Evaluate models offline, Evaluate models online, Deploy models reliably, Build recommendation systems, Optimize recommendation systems, Deliver personalization decisions, Execute experiments, Measure recommendation quality, Understand causal drivers, Iterate toward customer impact, Partner with software engineering, Productionize ML models, Define serving infrastructure requirements, Define data pipeline requirements, Define model monitoring requirements, Define model observability requirements, Collaborate with product managers, Collaborate with stakeholders, Translate business problems, Scope science solutions, Publish research findings, Contribute to scientific community, Mentor scientists, Mentor engineers, Set scientific rigor bar, Set experimental discipline bar, Set ML engineering best practices bar", "teamCollaboration" : "Cross-functional stakeholders; Software engineering teams; Product management; Business development", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Linear TV personalization; Content recommendation; Viewer engagement; Real-time personalization; MLOps; Distributed systems; Deep learning models", "domainList" : [ "linear-tv-personalization", "content-recommendation", "viewer-engagement", "real-time-personalization", "mlops", "distributed-systems", "deep-learning-models" ], "domainSpecificKnowledge" : [ "Linear TV personalization", "Content recommendation", "Viewer engagement", "Real-time personalization", "MLOps", "Distributed systems", "Deep learning models" ], "toolProficiency" : [ "scikit-learn", "Spark", "Tensorflow", "numpy", "scipy", "MxNet", "Hadoop", "AWS", "S3", "Redshift", "SageMaker", "EMR", "Kinesis", "Lambda", "EC2" ], "communicationSkills" : "Technical communication; Publish research findings; Internal knowledge-sharing", "innovationCreativity" : "Experiment with new possibilities; Take risks", "problemSolvingSkills" : "Problem formulation; Data analysis; Feature engineering; Model development; Model evaluation; Root cause analysis", "outcomesObjectives" : "Deliver measurable business outcomes; Deliver customer experience outcomes", "qualificationsBasic" : "Master's degree and 6+ years of applied research experience, 5+ years of building machine learning models, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning", "qualificationsPreferred" : "PhD preferred, Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Experience with large scale distributed systems, Experience in state-of-the-art deep learning models architecture design, Experience with deep learning training and optimization, Experience with model pruning, Experience with AWS services, Experience with statistical methods, Experience in written and verbal communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Prime Video is disrupting traditional media with an ever-increasing selection of movies, TV shows, Emmy Award-winning original content, add-on subscriptions, and live events like Thursday Night Football. Within this expanding ecosystem, Linear TV with its 24/7 scheduled broadcast-style programming has emerged as one of our fastest-growing segments, with viewership hours increasing significantly year over year. This growth demonstrates that even in the streaming era, customers deeply value the lean-back, curated experience that Linear TV provides. Key job responsibilities As an Applied Scientist on LPEX, you will be a technical owner and science leader across the following areas: * Define and drive the science strategy and multi-year roadmap for Linear TV personalization, translating research advances into measurable business and customer experience outcomes. * Design, develop, and deploy machine learning models for content recommendation, viewer engagement optimization, and real-time personalization at the scale of hundreds of millions of Prime Video customers. * Own the complete ML lifecycle: problem formulation, data analysis, feature engineering, model development, offline and online evaluation, and reliable production deployment. * Build and continuously optimize recommendation systems with strict real-time latency requirements, ensuring that personalization decisions are delivered at speed and scale. * Design and execute rigorous A/B and multivariate experiments to measure recommendation quality, understand causal drivers of engagement, and iterate rapidly toward customer impact. * Partner with software engineering teams to productionize ML models, defining requirements for serving infrastructure, data pipelines, and model monitoring and observability. * Collaborate with product managers and cross-functional stakeholders to translate ambiguous business problems into well-scoped, tractable science solutions. * Publish research findings and contribute to the broader scientific community through papers, patents, and internal knowledge-sharing forums. * Mentor scientists and engineers on the team, setting a high bar for scientific rigor, experimental discipline, and ML engineering best practices. A day in the life We are looking for an Applied Scientist who will define and drive the science strategy for personalization and recommendations on Linear TV. You will own the end-to-end machine learning lifecycle from problem formulation and research through experimentation and production deployment, building systems that help millions of customers discover the right content at the right time. It's Day 1 for personalizing the linear TV experience on Prime Video, and you will be at the forefront of this innovation. About the team The Linear Personalization Experience (LPEX) team is building next-generation, AI-powered personalization and recommendation systems to enhance this natural engagement and deliver a best-in-class Linear TV experience for Prime Video customers worldwide. The LPEX team's vision is to surface the breadth and depth of Prime Video's linear selection at exactly the right moment for each customer curating the most relevant programming, tailored to individual tastes, purchase behaviors, schedules, and viewing habits, while simultaneously elevating awareness of our extensive live and linear catalog. Our mission is to anticipate and exceed viewers' expectations, fostering deeper connections with the content they love. We adapt to viewers' preferences and propensities for both live and on-demand viewing, enriching the overall entertainment journey. The team operates at the intersection of machine learning research, large-scale distributed systems, and consumer product strategy, partnering closely with product management, engineering, and business development. Basic Qualifications: - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 - Experience with statistical methods (e.g., A/B Testing, Regression) - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Senior Applied Scientist, Linear Personalization Experience Team (LPEX) at Amazon.com Services LLC. Skills: Machine learning, Personalization, Recommendation systems, MLOps. Define science strategy. Drive science roadmap", "postedDate" : "2026-06-10T00:00:00.000", "createdAt" : "2026-06-13T11:40:24.321", "lastUpdated" : "2026-06-15T02:57:16.332", "ingestTimestamp" : "2026-06-13T11:40:24.321", "mongoId" : "6a2a65fe74d8ee00a062b5b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10444731/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 226000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Machine learning", "Deep learning", "Model development", "Model evaluation", "Production deployment", "A/B testing", "Multivariate experiments", "Statistical methods", "Personalization", "Recommendation systems", "MLOps", "Science strategy", "Roadmap development", "ML lifecycle", "Causal inference", "Linear TV personalization", "Content recommendation", "Viewer engagement", "Real-time personalization", "Distributed systems", "Deep learning models", "scikit-learn", "Spark", "Tensorflow", "numpy", "scipy", "MxNet", "Hadoop", "AWS", "S3", "Redshift", "SageMaker", "EMR", "Kinesis", "Lambda", "EC2" ], "skillCount" : 36, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 538.7127, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Entertainment" }, { "id" : "6a2a660474d8ee00a062b85a", "title" : "Failure Analysis Manager, Product Integrity, Failure Analysis", "company" : "Amazon.com Services LLC", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 151000.0, "max" : 204300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T00:55:59.753", "fingerprint" : "1a7971a01e81b04d5064491f8547a02c700109446edfd1e5fd3ef59a8664aafb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443849/apply", "externalId" : "b67eeed8-43a9-424c-a9dd-0469c9b8e3d5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Electrical fault isolation, Physical analysis, Accelerated stress testing, Materials selection", "professionalSkills" : [ "Technical strategy", "Root cause analysis", "Risk assessment", "Corrective actions", "Failure risk", "Product decisions", "Design improvements", "Roadmap planning", "Lab capacity scaling", "Cross-functional problem solving", "Design changes", "Process changes", "Manufacturing changes", "Hardware quality", "Risk assessment", "Corrective action plans", "Stakeholder management", "Program management", "Budget planning" ], "hardSkillsList" : [ "Failure analysis", "Reliability testing", "Materials characterization", "Fault isolation", "Stress testing", "Root cause clarity", "Risk assessment", "Corrective actions", "Failure rate modeling", "DFMEA", "DfR" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "Failure analysis", "level" : "intermediate" }, { "name" : "Reliability testing", "level" : "intermediate" }, { "name" : "Materials characterization", "level" : "intermediate" }, { "name" : "Fault isolation", "level" : "intermediate" }, { "name" : "Stress testing", "level" : "intermediate" }, { "name" : "Root cause clarity", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Corrective actions", "level" : "intermediate" }, { "name" : "Failure rate modeling", "level" : "intermediate" }, { "name" : "DFMEA", "level" : "intermediate" }, { "name" : "DfR", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "Failure analysis, Reliability testing, Hardware quality, Root cause analysis", "majorSkillsList" : [ "Failure analysis", "Reliability testing", "Hardware quality", "Root cause analysis" ], "coreResponsibilities" : "Own failure analysis outcomes, Own reliability testing outcomes, Set technical strategy, Identify capability gaps, Prioritize investment, Define roadmap, Drive cross-functional problem solving, Translate failure insights, Serve as escalation point, Deliver risk assessments, Deliver corrective action plans, Cultivate partnerships, Position lab as resource, Build high-performing team, Recruit top talent, Provide technical mentorship, Create growth paths, Oversee investigations, Oversee reliability tests, Ensure timely updates, Ensure rigorous reports, Ensure clear recommendations, Lead special projects, Innovate on behalf of customers, Expand knowledge base, Develop new methodologies, Manage stakeholder relationships, Communicate resource needs, Communicate project progress, Communicate budget planning", "teamCollaboration" : "Cross-functional problem solving; Partnerships with engineering; Partnerships with supply chain; Partnerships with program teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Consumer electronics; Spacecrafts; Drones; Data center infrastructure; Robotics; Hardware quality; Product Integrity; Failure Analysis; Lab126 subsidiary; Prime Air; Mechatronics; AWS; Annapurna; Lab126 Devices; Materials Characterization; High-reliability industries", "domainList" : [ "consumer-electronics", "spacecrafts", "drones", "data-center-infrastructure", "robotics", "hardware-quality", "product-integrity", "failure-analysis", "lab126-subsidiary", "prime-air", "mechatronics", "aws", "annapurna", "lab126-devices", "materials-characterization", "high-reliability-industries" ], "domainSpecificKnowledge" : [ "Consumer electronics", "Spacecrafts", "Drones", "Data center infrastructure", "Robotics", "Hardware quality", "Product Integrity", "Failure Analysis", "Lab126 subsidiary", "Prime Air", "Mechatronics", "AWS", "Annapurna", "Lab126 Devices", "Materials Characterization", "High-reliability industries" ], "toolProficiency" : [ "CT X-ray", "SEM", "EDS", "FTIR", "XRF" ], "communicationSkills" : "Verbal communication; Written communication; Risk assessment communication; Corrective action communication", "documentationSkills" : "Rigorous reports", "continuousLearning" : "Expand knowledge base; Developing new methodologies", "innovationCreativity" : "Innovate on behalf of customers", "problemSolvingSkills" : "Root cause analysis; Structured problem-solving; Failure analysis; Troubleshooting", "outcomesObjectives" : "Deliver root cause clarity; Shape product decisions; Drive corrective action decisions", "qualificationsBasic" : "7+ years hardware development, Master's degree or equivalent, Proven leadership experience, Hands-on capability component/board/system, Extensive experience resolving quality issues, Ability to operate in fast-paced environments", "qualificationsPreferred" : "Expert-level proficiency leading investigations, Hands-on experience physical FA techniques, Knowledge of reliability engineering disciplines, Experience standing up lab safety programs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As the Failure Analysis Manager, you will own the technical strategy and execution for a team that investigates why hardware fails and ensures it doesn't fail again. Your team applies electrical fault isolation, physical analysis, and accelerated stress testing to Amazon's most complex hardware, turning ambiguous failures into actionable design improvements. You will lead a team of highly talented engineers through investigations spanning NPI and field returns, delivering root cause clarity that directly shapes product decisions. You will set the vision for the team's growth, build senior-level partnerships across Amazon's hardware portfolio, and serve as the authoritative voice on failure risk, corrective actions, and recovery plans for critical customer escalations. Key job responsibilities - Own root cause failure analysis and reliability testing outcomes across Amazon's hardware portfolio: consumer electronics, spacecrafts, drones, data center infrastructure, robotics, and some others - Set technical strategy for the team: identify capability gaps, prioritize investment in new analytical methods, and define the roadmap for scaling lab capacity - Drive cross-functional problem solving that translates failure insights into upstream design, process, and manufacturing changes - Serve as the primary escalation point for critical hardware quality issues, delivering clear risk assessments and corrective action plans to senior leadership - Cultivate partnerships with engineering, supply chain, and program teams to position the lab as an indispensable resource across the product lifecycle - Build and develop a high-performing team: recruit top talent, provide technical mentorship, and create growth paths for engineers with diverse science and engineering backgrounds A day in the life You will move fluidly between our office and the lab just down the hallway. You'll oversee a portfolio of investigations and reliability tests at various stages, ensuring your team delivers timely updates, rigorous reports, and clear recommendations that drive corrective action decisions. Beyond day-to-day operations, you will lead special projects to innovate on behalf of customers and expand the Product Integrity team's knowledge base, developing new methodologies to advance materials selection, design, and operational improvements. You will also manage stakeholder relationships across the business, communicating resource needs, project progress, and budget planning as you scale the lab's impact. About the team SPICE lab is a Seattle-based R&D team within Amazon's Lab126 subsidiary, partnering with Amazon's most ambitious hardware organizations. We support a growing portfolio of programs including Prime Air, Leo, Mechatronics, AWS, Annapurna, Lab126 Devices, and others. If you are passionate about building the future and want to take part in developing ideas from concept to production, consider joining the SPICE lab team! Our lab operates across three closely integrated functions: Failure Analysis, Reliability Testing, and Materials Characterization. These disciplines reinforce each other — failure investigations inform test planning, reliability testing reproduces mechanisms to validate root cause hypotheses, and shared analytical techniques underpin materials selection decisions. This role will manage both the Failure Analysis and Reliability Testing teams. Basic Qualifications: - 7+ years of new hardware products development experience - Master's degree or equivalent in mechanical engineering, electrical engineering, material science, physics or equivalent - Proven leadership experience scaling technical teams and root cause FA capabilities in high-reliability industries - Strong hands-on capability with established depth across component, board, and system failure domains, and a track record of influencing hardware design decisions at the portfolio level - Extensive experience resolving critical, systemic quality issues across high-performance hardware programs using structured problem-solving methodologies - Ability to operate in fast-paced, ambiguous environments, manage competing priorities under tight deadlines, and redirect efforts as business needs evolve - Excellent verbal and written communication skills Preferred Qualifications: - Expert-level proficiency leading complex investigations from symptom through root cause to verified corrective action, across both NPI and sustained production - Hands-on experience with physical failure analysis techniques: non-destructive (CT X-ray, optical/UV/thermal imaging, TDR) and destructive (SEM, EDS, FTIR, XRF, cross-sectioning) - Knowledge of reliability engineering disciplines including accelerated life testing, failure rate modeling, Design Failure Mode and Effects Analysis (DFMEA), and Design for Reliability (DfR) - Experience standing up or maturing lab safety programs, quality management systems, and compliance with industry standards Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 151,000.00 - 204,300.00 USD annually", "summaryDescription" : "Failure Analysis Manager, Product Integrity, Failure Analysis at Amazon.com Services LLC. Skills: Failure analysis, Reliability testing, Hardware quality, Root cause analysis. Own failure analysis outcomes. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. 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Mathematical Statistician

Digital Supply Chain Mgr, Linear Ops, PV Sports and Linear Tech

Senior Research Scientist, Mathematical Foundations

Software Development Engineer, Prime Video - Linear Experience

Software Development Engineer, Prime Video - Linear Experience

Mathematics and Modeling Estimating Lead

Principal Statistical Programmer

Software Development Engineer, Prime Video Sports, News and Linear

Instructor of Mathematics

Sr. Product Manager - Tech, Prime Video Sports & Linear Operations

Sr. Technical Program Manager, Prime Video Sports Linear and News

Statistical Science Director

Mathematics AI Training Expert

Associate Director, Statistical Programming

Subject Matter Expert – Mathematics (Arabic)

Subject Matter Expert – Mathematics (Telugu)

Subject Matter Expert – Mathematics (Italian)

Subject Matter Expert – Mathematics (German)

Subject Matter Expert – Mathematics (Korean)

Subject Matter Expert – Mathematics (Marathi)

Senior Statistical Programmer

Subject Matter Expert – Mathematics (French)

Statistical Data Analyst(P3)

Subject Matter Expert – Mathematics (Mandarin)

Subject Matter Expert – Mathematics (Russian)

Casual Foundation Studies Teacher - Mathematics

Subject Matter Expert – Mathematics (Japanese)

Subject Matter Expert – Mathematics (Indonesian)

Subject Matter Expert – Mathematics (Hindi)

Subject Matter Expert – Mathematics (Bengali)

Subject Matter Expert – Mathematics (Vietnamese)

Mathematics AI Training Expert - PhD

Mathematics AI Training Expert - PhD

Mathematics-Middle (2026-2027 School Year)

Mathematics AI Training Expert - PhD

Mathematics AI Training Expert - PhD

Mathematics AI Training Expert - PhD

Researcher (m/w/d) – Mathematics, Computational Science & Data Science

Associate Director, Statistical Programming

Senior Applied Scientist, Linear Personalization Experience Team (LPEX)

Failure Analysis Manager, Product Integrity, Failure Analysis

Mathematics AI Training Expert - PhD - (Turkey)

Mathematics AI Training Expert - PhD - (Portugal)

Mathematics AI Training Expert - PhD - (France)

Mathematics AI Training Expert - PhD - (Uruguay)

Mathematics AI Training Expert - PhD - (India)

Mathematics AI Training Expert - PhD - (Colombia)

Mathematics AI Training Expert - PhD - (Denmark)

Mathematics AI Training Expert - PhD - (Indonesia)

Mathematics AI Training Expert - PhD - (Chile)

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