Scientific Data Architect - Tarrytown, NY
About the role
Product-minded engineer focused on building data models, AI-enabled scientific solutions, and extensible workflows for biopharma R&D within TetraScience’s Scientific Data and AI platform. Strong collaboration with scientists, engineers, and product managers to industrialize Scientific AI and deliver measurable outcomes for life science data.
Responsibilities
- Engage directly with customers onsite a couple of days per week in the assigned geographic region to understand data challenges and accelerate solutions
- Design and implement extensible, reusable data models that capture and organize scientific data for use cases, ensuring scalability
- 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 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 SBAs, customer scientists and applied AI engineers to develop and deploy models and agents
- Interface directly with scientific end users and technical stakeholders to drive solution development and adoption through demos and meetings
- Proactively communicate implementation progress and deliver demos to customer stakeholders
- Collaborate with the product team to build and prioritize the roadmap by understanding customer pain points
- Rapidly learn new technologies to develop and troubleshoot use cases
- Must be able to travel to client sites in local geographic areas
Qualifications
- 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
- Engaged diverse audiences, from scientists to executive stakeholders, with 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 have: Hybrid dry lab / wet lab experience
Skills
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

About TetraScience
The only R&D data cloud for life sciences
TetraScience provides the world’s first and only R&D Data Cloud, with a mission to transform life sciences R&D, accelerate discovery, and improve human life. Scientists at global pharma and biotech organizations rely on our innovative Tetra Data Platform for easy access to centralized, harmonized, and actionable scientific data to accelerate their digital lab transformation. With best-in-class SaaS performance, a team of industry innovators, and excellent product/market fit, Tetra is positioned to become an iconic life sciences software company.
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