Senior Data Analyst - AI Evaluation (Life Sciences).
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and adapt automated evaluation methods (LLM-as-jury) tailored for AI life sciences products to ensure quality and reliability.
Collaborate with scientific experts and cross-functional teams to define evaluation frameworks, criteria, and scenarios reflecting real-world life sciences and regulatory data use.
Conduct and analyze both manual and automated AI output evaluations, providing actionable insights to accelerate product improvement cycles.
Minimum Requirements
Strong academic background in life sciences fields such as bioinformatics, cheminformatics, biochemistry, pharmacology, or related areas.
Experience evaluating AI or algorithmic outputs using scientific data in structured data or content environments.
Familiarity with AI data access and usage including understanding of data flows, APIs, and version-controlled workflows (e.g., GitHub).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in applying scientific domain knowledge specifically across drug discovery, drug development, and regulatory approval contexts.
Capable of designing, validating, and refining automated evaluation approaches combining domain expertise and AI capabilities.
Skilled in collaborating cross-functionally with product, data science, and engineering teams to integrate scientific evaluation in AI product development workflows.