Scientific Data Architect

TetraScience • Waltham, MA

1d • Hybrid

About The Position

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. This role requires extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry. The ideal candidate is a product-minded, outcome-obsessed driver of technical scientific solutions, a high-velocity self-starter who refuses to let uncertainty obstruct their path to designing and building solutions. They prototype, demo, and build to accelerate delivery of products for end users, thriving in environments where they collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Their ability to engage with scientists and business leaders alike makes them a key player in maximizing the value of scientific data. With rich experience applying cutting-edge data methodologies to the biopharma R&D domain, they bridge understanding between present-day pain points and generalizable solutions. They are an insatiable learner with a track record of deeply learning new tools, methods, and domains, embodying extreme ownership and demonstrating a history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML.

Requirements

• PhD with 5+ years / Masters with 7+ years of industry experience in life sciences with 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.

Responsibilities

• Engage directly with customers onsite up to 3-4 days per week in the Waltham Region, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions.
• Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability.
• Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.
• Own, scope, prototype, and implement solutions including: Data model design (tabular & JSON), Python-based parser development, Lab software (e.g., ELN/LIMS) integration via APIs, Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly).
• Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid).
• Programmatically interrogate 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.

Benefits

• 100% employer-paid benefits for all eligible employees and immediate family members
• Unlimited paid time off (PTO)
• 401K
• Company paid Life Insurance, LTD/STD
• Remote Work, when not visiting customers onsite

What This Job Offers

• Job Type: Full-time
• Career Level: Senior