Senior Data Analyst - AI Evaluation (Life Sciences).
ElsevierMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and validate automated evaluation methods using LLM-as-jury framework to assess AI solutions in life sciences and regulatory domains.
Collaborate with scientific experts and cross-functional teams to define evaluation strategies, metrics, and test sets reflecting real-world use cases.
Analyze AI outputs manually and automatically to identify discrepancies, refine evaluation criteria, and support product improvement decisions.
Minimum Requirements
Strong academic background in life sciences or related fields such as bioinformatics, cheminformatics, biochemistry, or pharmacology.
Experience evaluating AI or algorithmic outputs using scientific data, including in structured data environments like databases or knowledge graphs.
Familiarity with AI data access and usage, including understanding data flows, APIs, and version control workflows (e.g., GitHub).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in applied scientific evaluation within drug discovery, development, or regulatory approval domains relevant to AI products.
Able to translate domain knowledge into actionable evaluation criteria and metrics aligned with customer needs and product goals.
Comfortable working closely with interdisciplinary teams including product, data science, and engineering to drive AI product quality improvement.