The Scientific Data Architect at TetraScience will play a pivotal role in shaping the future of scientific data by designing and building AI-native data sets and lab data management solutions. You will work closely with scientists, product managers, and engineers to transform complex scientific data into impactful outcomes in the biopharma research and development domain.
What You'll Do
- Design and build AI-native scientific data sets
- 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
- Collaborate with cross-functional teams including product managers, software engineers, and scientific stakeholders
What We're Looking For
- PhD with 7+ years or Masters with 10+ 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
- Rich experience applying cutting edge data methodologies to the biopharma R&D domain
- 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 ownership mindset and ability to thrive in uncertain environments
- Ability to prototype, demo, and build solutions quickly and effectively
- Insatiable learner with a track record of deeply learning new tools, methods, and domains
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’s dominant players in compute, cloud, data, and AI infrastructure
- Co-innovation and go-to-market partnership opportunities with major tech companies
- Access to the Tetra Way letter for cultural and values alignment
- Role in forging a new category that will change the life science industry
Work Mode
Local position based in Boston.
TetraScience is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
