The Scientific Data Architect will drive technical innovation by designing and implementing AI-native data sets and next-generation lab data management solutions at TetraScience, a category-leading company in scientific data and AI. This role involves close collaboration with scientists, product managers, and engineers to transform complex scientific data into impactful outcomes in the biopharma R&D space.
What You'll Do
- Design and build AI-native scientific data sets
- Bring data to life in next-gen lab data management solutions
- Collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes
- Prototype, demo, and build solutions to accelerate product delivery
- Perform exploratory data analysis and workflow optimization to enable new scientific outcomes
- Engage diverse audiences including scientists and executive stakeholders using communication and storytelling abilities
- Advise scientists in a consulting capacity to improve research, development, and quality testing outcomes
- Define, design, prototype, and implement productized AI/ML-driven use cases in cloud environments
- Bridge understanding between current scientific pain points and generalizable technical solutions
- Build extensible data models and applications for Biopharma end users to maximize data value via AI/ML integration
What We're Looking For
- PhD with +4 years or Masters with +8 years of industry experience in life sciences
- 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
- Experience collaborating 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 excellent communication and storytelling abilities
- Advised scientists in a consulting capacity to further research, development, and quality testing outcomes
- Demonstrated history of building extensible data models and applications for Biopharma end users
- Ability to apply cutting-edge data methodologies to the biopharma R&D domain
- Embracing of extreme ownership principles
Technical Stack
- AI/ML
- cloud environments
- scientific data modeling
- data integration
- exploratory data analysis
- workflow optimization
Benefits & Compensation
- Opportunity to join a category-leading company in scientific data and AI
- Collaboration with world-leading players in compute, cloud, data, and AI infrastructure
- Co-innovation and go-to-market partnership opportunities with major tech companies
- Exposure to next-generation lab data management solutions and AI-enabled outcomes
Work Mode
Local position in Indianapolis
TetraScience is an equal opportunity employer committed to diversity and inclusion in the workplace.
