TetraScience
life sciences
ScientificDataArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Scientific Data Architect at TetraScience. Skills: Scientific Data Architecture, AI/ML-driven use cases, cloud environments, extensible data models, scientific data workflows, data model design, Python-based parser development, Lab software integration, Data visualization and app development, ML, AI, mechanistic, statistical, hybrid models. Engage directly with customers onsite up to 3-4 days per week in the Waltham Region. building relationships”
What You'll Achieve.
outcome-obsessed; accelerate delivery of products for your end users; transform complex scientific data into actionable outcomes; maximize the value of scientific data; enable scientific outcomes not previously possible; maximize value from their data via analysis and integration with AI/ML; accelerating solutions; ensure scalability and future adaptability; rapidly drive solution development and adoption
Industry & Context.
refuse to let uncertainty obstruct your path to designing and building solutions; bridge understanding between present-day pain points and generalizable solutions; troubleshoot use cases
engage directly with customers onsite up to 3-4 days per week in the Waltham Region
What They're Looking For.
Must Have
PhD with 5+ years / Masters with 7+ years of industry experience in life sciences, extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing, Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments, Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders, Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible, Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities, Advised scientists in a consulting capacity to further research, development, and quality testing outcomes
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Engage directly with customers onsite up to 3-4 days per week in the Waltham Region
building relationships
deeply understanding their scientific data challenges and requirements
accelerating solutions
Design and implement extensible
Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform
and implement solutions
Programmatically interrogating proprietary instrument output files
Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings
Proactively communicate implementation progress and deliver demos to customer stakeholders
Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform
Rapidly learn new technologies (e.g.
new AWS services or scientific analysis applications) to develop and troubleshoot use cases
How You'll Work.
Team & Collaboration
Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders; Collaborate with scientists, product managers, and engineers; Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers; Collaborate with the product team
Communication Scope
excellent communication and storytelling abilities; Engaged diverse audiences, from scientists to executive stakeholders; Proactively communicate implementation progress and deliver demos to customer stakeholders
Process & Methodology
Own, scope, prototype, and implement solutions
Full Job Description
**About TetraScience** TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “[ _The Tetra Way_](https://go.tetrascience.com/rs/152-SBL-014/images/The-Tetra-Way_v2.pdf?version=0),” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. **Who You Are** You are a **product-minded, outcome-obsessed** driver of technical scientific solutions. You a **high velocity self-starter.** You refuse to let uncertainty obstruct your path to designing and building solutions. You **roll up your sleeves, try things out, and get things done**. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users. You thrive in environments where **you can collaborate with scientists, product managers, and engineers** to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions. You are an **insatiable learner** , with a track record of deeply learning new tools, methods, and domains. You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applicati
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