Scientific Data Architect- Central US
About The Position
TetraScience is seeking a Scientific Data Architect to join their team. This role is crucial for industrializing Scientific AI and involves direct customer engagement onsite a couple of days per week in the Indianapolis area. The architect will build strong relationships, understand scientific data challenges, and accelerate solutions. The position requires designing and implementing extensible, reusable data models, translating scientific data workflows into solutions using the Tetra Data Platform, and owning the prototyping and implementation of various components. This includes data model design, Python-based parser development, lab software integration, and data visualization/app development. Collaboration with Scientific Business Analysts, customer scientists, and applied AI engineers is key for developing and deploying models. The role also involves programmatic interrogation of instrument output files, iterating with users, communicating progress, and contributing to the product roadmap. Rapid learning of new technologies is essential.
Requirements
- PhD with +4 years or Masters 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), 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.
- Must be able to travel to client sites in St.Louis, Indianapolis, Chicago regions.
Nice To Haves
- Product-minded, outcome-obsessed driver of technical scientific solutions.
- High velocity self-starter.
- Ability to refuse to let uncertainty obstruct your path to designing and building solutions.
- Willingness to prototype, demo, and build in order to accelerate delivery of products for your end users.
- Thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes.
- Ability to engage with scientists and business leaders alike.
- Rich experience applying cutting edge data methodologies to the biopharma R&D domain.
- Insatiable learner, with a track record of deeply learning new tools, methods, and domains.
- Embody the principles of extreme ownership and have a demonstrated 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.
- Extreme self-discipline and determination.
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 (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
- Competitive Salary and equity in a fast-growing company.
- Supportive, team-oriented culture of continuous improvement.
- Generous paid time off (PTO).
- Flexible working arrangements - Remote work when not at Customer Sites
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What This Job Offers
Job Type
Full-time
Career Level
Senior
