Scientific Business Analyst, DMPK/Metabolite
Cambridge, Middlesex County, Massachusetts, 02140, USA
Listed on 2025-11-27
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IT/Tech
AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Who We Are
Tetra Science is the Scientific Data and AI Cloud company, leading the scientific AI revolution with AI-native data sets and next-generation lab data management solutions.
We are the category leader, with significant revenue and strategic partnerships with major players in compute, cloud, data, and AI infrastructure. Latest News and Announcements | Tetra Science Newsroom
Candidates are encouraged to review the Tetra Way letter by Patrick Grady, our co-founder and CEO, to understand our values and ethos. Alignment with this document is essential for success at Tetra Science.
Who You AreYou are a strategic, analytically minded professional passionate about integrating scientific insights with technology. You excel at collaborating with scientists, product managers, and engineers to turn complex data into actionable insights.
With expertise in DMPK and Metabolite , you identify innovative use cases for AI/ML applications. Your ability to communicate effectively with scientific and business stakeholders makes you vital in maximizing scientific data value.
You are a high-speed, forward-thinking individual committed to developing R&D and Quality solutions within the Life Sciences sector, embodying principles of extreme ownership and deriving maximum value from data through analysis and AI integration.
This role demands discipline and determination to help forge a category that will transform the life science industry.
What You Will Do- Explore customer datasets to identify gaps and AI-readiness.
- Collaborate with customers to develop and refine AI/ML-driven scientific use cases.
- Engage with scientists to expand and leverage their data for AI applications.
- Perform exploratory data analysis and define data transformations for AI/ML.
- Create workflow diagrams, process maps, and ontology definitions.
- Provide feedback on AI/ML models to improve scientific outcomes.
- Conduct demonstrations and promote AI application adoption.
- Suggest experiments and data strategies to enhance insights.
- PhD with 15+ years in life sciences, with expertise in DMPK, Metabolite , ADME, PK/PD modeling, bioanalytical techniques, and enzyme profiling.
- Proven experience in defining and implementing AI/ML use cases supporting DMPK and Metabolite .
- Collaborated with multidisciplinary teams including product managers and scientists.
- Extensive experience in data analysis and workflow optimization for scientific outcomes.
- Excellent communicator, capable of engaging diverse audiences from scientists to executives.
- Provided consulting to support research, development, and quality testing.
- Offers comprehensive benefits including employer-paid health coverage, unlimited PTO, 401K, remote work options, and company-paid life insurance.
- Focus on continuous growth and career development within a supportive culture.
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