Scientific Data Architect - Central US

TetraScience • St. Louis, MO

2d

About The Position

TetraScience is hiring a product-minded, outcome-focused Scientific Data Architect to help life sciences organizations turn fragmented scientific data into AI-ready assets and workflows. The role partners directly with customer scientists and technical stakeholders to understand scientific data challenges, design and implement extensible data architectures, and deliver solutions using the Tetra Data Platform. The position focuses on scientific use cases across life sciences R&D, including drug discovery, preclinical development, CMC, product quality testing, and pharmaceutical manufacturing.

The architect will work with customers onsite in the assigned geographic region, typically several days per week, and collaborate with Scientific Business Analysts, applied AI engineers, product managers, software engineers, and scientific stakeholders. They will scope, prototype, and implement reusable data models, Python pipelines, lab software integrations, visualizations, applications, and scientific agents, while helping shape the product roadmap and accelerating customer adoption through regular communication and demos. The role calls for strong self-direction, adaptability, scientific domain knowledge, and the ability to communicate effectively with audiences ranging from scientists to executives.

Requirements

• PhD plus more than 4 years, Master's degree plus more than 6 years, or Bachelor's degree plus more than 8 years of industry experience in life sciences.
• Extensive domain knowledge in at least one of 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 performing extensive exploratory data analysis and workflow optimization to enable scientific outcomes.
• Excellent communication and storytelling abilities to engage audiences ranging from scientists to executive stakeholders.
• Experience advising scientists in a consulting capacity to advance 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.

Nice To Haves

• Hybrid dry-lab and wet-lab experience.

Responsibilities

• Engage directly with customers onsite in the assigned geographic region to build relationships and understand scientific data challenges and requirements.
• Design and implement extensible, reusable data models that capture and organize scientific data for scalable scientific use cases.
• Translate scientific data workflows into robust solutions using the Tetra Data Platform.
• Scope, prototype, and implement solutions, including data models, Python-based pipelines, lab software integrations via APIs, data visualizations, 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.
• Work directly with scientific end users and technical stakeholders to drive solution development and adoption through regular meetings and demonstrations.
• Communicate implementation progress proactively and deliver demos to customer stakeholders.
• Collaborate with the product team to shape and prioritize the roadmap based on customer pain points inside and outside the Tetra Data Platform.
• Learn new technologies quickly 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 eligible employees and immediate family members.
• Unlimited paid time off (PTO).
• 401(k).
• Company-paid life insurance and long-term and short-term disability insurance.
• A culture of continuous improvement with career growth and coaching.

What This Job Offers

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