Scientific Data Architect - Tarrytown, NY

TetraScience • Tarrytown, NY

1d • Hybrid

About The Position

TetraScience is seeking a Scientific Data Architect to join their team. This role involves building Tetra OS, the operating system for scientific intelligence, to help life sciences firms transform scientific data into AI-native assets and scientific workflows. The company partners with major tech and life sciences firms like NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. Candidates are expected to be product-minded, outcome-obsessed, and self-starters who can design and build solutions, prototype, and collaborate with scientists, product managers, and engineers. The role requires a deep understanding of the biopharma R&D data ecosystem and a track record of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML. This position demands extreme self-discipline and determination.

Requirements

• Deep understanding of the life science R&D data ecosystem, with experience solving issues related to brittle, bespoke workflows and fractured data.
• PhD with +4 years, Masters with +6 years, or Bachelors with +8 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), product quality testing, or pharma manufacturing.
• Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments.
• Designed scalable and reusable data architecture.
• 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.
• Engage diverse audiences, from scientists to executive stakeholders using excellent communication and storytelling abilities.
• Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.
• Augmented technical, business, and communication work through agentic development and knowledge work.

Nice To Haves

• Hybrid dry lab / wet lab experience.

Responsibilities

• 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, Python-based pipeline development, Lab software (e.g., ELN/LIMS) integration via APIs, Data visualization and app development, Scientific agents.
• Leverage agentic development tools like Claude Code and Codex to contribute to discovery, prototyping, and development.
• Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid) and agents.
• Interface directly 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 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
• A culture of continuous improvement where you can grow your career and get coaching

What This Job Offers

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