TetraScience

Scientific Business Analyst, DMPK, Metabolite ID

TetraScience

full-time

Posted on:

Origin:  • 🇺🇸 United States • Massachusetts

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Job Level

SeniorLead

About the role

  • 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

Requirements

  • PhD with 15+ years of industry experience in life sciences with 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
  • Collaborated 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
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