Scientific Data Architect - Central US
About The Position
TetraScience is hiring a Scientific Data Architect to help industrialize Scientific AI in the life sciences. This role partners directly with customers in an assigned geographic region, building relationships and understanding scientific data challenges and requirements. The architect designs and implements extensible data models and solutions on the Tetra Data Platform, translating scientific workflows into reusable, scalable applications and integrations. The role includes owning and delivering prototypes and implementations such as data models, Python pipelines, lab software integrations, data visualizations and applications, and scientific agents. The architect works with customer scientists, Scientific Business Analysts, applied AI engineers, product managers, and software engineers to develop and deploy AI, machine learning, mechanistic, statistical, and hybrid models. Regular customer meetings and demonstrations support adoption, while customer feedback informs the product roadmap. The position requires travel to client sites in local geographic areas 3–4 days per week and onsite customer engagement a couple of days per week.
Requirements
- PhD with more than 4 years, Master’s degree with more than 6 years, or Bachelor’s degree with more than 8 years of industry experience in life sciences.
- Extensive domain knowledge in drug discovery (target identification through lead optimization), preclinical development, CMC across drug modalities, product quality testing, or pharmaceutical manufacturing.
- Proven track record defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments.
- Experience designing scalable and reusable data architecture.
- Experience collaborating with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
- Experience conducting extensive exploratory data analysis and optimizing workflows to enable scientific outcomes.
- Excellent communication and storytelling abilities for engaging audiences ranging from scientists to executive stakeholders.
- Experience advising scientists in a consulting capacity to support research, development, and quality testing outcomes.
- Experience augmenting technical, business, and communication work through agentic development and knowledge work.
- Ability to travel to client sites in local geographic areas 3–4 days per week.
- Visa sponsorship is not currently provided for this position.
Nice To Haves
- Hybrid dry lab / wet lab experience.
Responsibilities
- Design and implement extensible, reusable data models that organize scientific data for scientific use cases and support scalability and future adaptability.
- Translate scientific data workflows into robust solutions using the Tetra Data Platform.
- Own, scope, prototype, and implement solutions, including data models, Python-based pipelines, lab software integrations via APIs, data visualizations and applications, and scientific agents.
- Use agentic development tools such as Claude Code and Codex to support discovery, prototyping, and development.
- Collaborate with Scientific Business Analysts, customer scientists, and applied AI engineers to develop and deploy machine learning, AI, mechanistic, statistical, and hybrid models and agents.
- Engage directly with scientific end users and technical stakeholders to drive solution development and adoption through regular demonstrations and meetings.
- Communicate implementation progress proactively and deliver demonstrations to customer stakeholders.
- Collaborate with the product team to build and prioritize the roadmap based on customer pain points within and outside the Tetra Data Platform.
- Learn new technologies rapidly to develop and troubleshoot use cases.
- Travel to client sites in local geographic areas 3–4 days per week.
Benefits
- 100% employer-paid benefits for all eligible employees and immediate family members.
- Unlimited paid time off (PTO).
- 401(k).
- Company-paid life insurance and LTD/STD.
- A culture of continuous improvement with opportunities to grow your career and receive coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
