Scientific Business Analyst, DMPK / Metabolite ID

TetraScience-posted 4 months ago
Full-time • Senior
Cambridge, MA
101-250 employees
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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 the 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 CEO to understand the company's values and ethos, which are crucial for alignment with the company's approach to team building. The role requires a strategic, analytically minded professional who can bridge scientific insights and technology, with a focus on DMPK and Metabolite ID.

  • Investigate customer datasets to identify gaps, enrichment opportunities, and AI-readiness factors.
  • Collaborate with customers to define, iterate, and refine AI/ML-driven scientific use cases.
  • Interview scientists and guide them in expanding and leveraging their data for AI applications.
  • Perform exploratory data analysis (EDA) and define data transformations for AI/ML use cases.
  • Develop workflow diagrams, process mappings, AS-IS/TO-BE workflows, and ontology definitions.
  • Provide feedback on AI/ML models to enhance scientific outcomes and improve product offerings.
  • Conduct technical demonstrations, showcase AI applications, and drive adoption.
  • Proactively suggest experiments or data strategies that strengthen customer insights and outcomes.
  • PhD with 15+ years of industry experience in life sciences.
  • Extensive domain knowledge in DMPK / Metabolite ID including ADME (Absorption, Distribution, Metabolism, Excretion), PK/PD Modeling (NONMEM, Phoenix WinNonlin), In vitro / In vivo Studies (microsomes, hepatocytes, animal models), Bioanalytical LC-MS/MS, and CYP450 Enzyme Profiling & Metabolite Identification.
  • Proven track record of defining and implementing AI/ML-driven use cases in productized environments to support DMPK and Metabolite ID efforts.
  • Experience collaborating with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
  • Experience performing extensive exploratory data analysis and workflow optimization.
  • Excellent communication and storytelling abilities to engage diverse audiences, from scientists to executive stakeholders.
  • Experience advising scientists in a consulting capacity to further research, development, and quality testing outcomes.
  • 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.
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