Scientific Business Analyst, Scientific AI- Boston

TetraScience-posted 3 months ago
Senior
Cambridge, MA
101-250 employees
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. The company is a leader in this market, generating more revenue than all other companies combined. TetraScience has attracted partnerships with major players in compute, cloud, data, and AI infrastructure. Candidates are encouraged to review the Tetra Way letter by the co-founder and CEO, Patrick Grady, to understand the company's values and ethos. The position requires a strategic, analytically minded professional who can bridge scientific insights and technology, collaborating with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes.

  • Engage directly with customers onsite up to 4-5 days per week in the Boston Region.
  • Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities.
  • Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases.
  • Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes.
  • Perform exploratory data analysis and define transformation workflows that enable scientific AI.
  • Develop visual documentation including workflow diagrams, ERDs, and ontology definitions.
  • Provide practical scientific input on model output, with suggestions to improve real-world performance.
  • Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption.
  • Propose new directions, experiments, or platforms that can amplify scientific discovery and development.
  • PhD with 15+ years of industry experience in life sciences, preferably across pharma, biotech, or health tech.
  • Deep domain expertise in discovery, preclinical, CMC, and/or Quality.
  • Extensive hands-on experience or direct oversight in high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance synthesis and manufacturing.
  • Delivered requirements for AI/ML-driven solutions that improved efficiency, reduced cost, and enhanced data utilization.
  • Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus.
  • Strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs) and familiarity with scientific tools, databases, and ontologies.
  • Exceptional communication and storytelling ability to engage technical and executive stakeholders.
  • Prior experience in customer-facing, consulting, or commercial-scientific interface roles.
  • 100% employer-paid benefits for all eligible employees and immediate family members.
  • Unlimited paid time off (PTO).
  • 401K.
  • Remote working opportunities, when not at customer sites.
  • Company paid Life Insurance, LTD/STD.
  • A culture of continuous improvement where you can grow your career and get coaching.
Track Jobs with Teal

Job Search Resources

•
Resume Builder
•
Resume Examples
•
Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service