The Scientific Data Architect at TetraScience will drive technical innovation by designing and building AI-native data sets and next-generation lab data management solutions. In this role, you will work closely with scientists, product managers, and engineers to transform complex scientific data into impactful, AI-enabled outcomes in the biopharma research and development domain.
What You'll Do
- Design and build AI-native scientific data sets
- Bring data to life in next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes
- 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 novel scientific outcomes
- Excellent communication and storytelling abilities to engage scientists and executive stakeholders
- Advised scientists in a consulting capacity to further research, development, and quality testing outcomes
- 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
- Ability to maximize value from scientific data via analysis and integration with AI/ML
- Embody extreme ownership principles
- Insatiable learner with a track record of deeply learning new tools, methods, and domains
- Product-minded and outcome-obsessed mindset
- High velocity self-starter who thrives in uncertain environments
- Willingness to roll up sleeves, try things out, and get things done
Technical Stack
- AI/ML
- cloud environments
- scientific data modeling
- data integration
- exploratory data analysis
- workflow optimization
- data prototyping
- AI-native datasets
Benefits & Compensation
- Opportunity to join a category-leading company in scientific data and AI
- Work at the forefront of the Scientific AI revolution
- Collaboration with world-leading players in compute, cloud, data, and AI infrastructure
- Involvement in co-innovation and go-to-market partnerships with major tech companies
- Access to the Tetra Way letter for cultural and values alignment
Work Mode
Local position based in New York. This role requires on-site presence in the city.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
