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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in evaluating AI outputs within life sciences, utilizing scientific data to inform product improvements and decision-making. Proficient in collaborating with cross-functional teams to enhance AI systems through evidence-based evaluations and recommendations.
Highest-signal resume keywords
Life Sciences ExpertiseAI Evaluation ExperienceData Flow UnderstandingCollaboration SkillsClear Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
BioinformaticsCheminformaticsBiochemistryPharmacologyEvaluation MetricsScientific Test SetsAutomated EvaluationsData AnalysisEvidence-Based FeedbackStructured Data Expertise
Soft Skills
Collaborative MindsetClear Communication
Tools & Technologies
DatabasesTaxonomiesKnowledge GraphsAPIsVersion Control (GitHub)
Industry Keywords
Drug DiscoveryDrug DevelopmentRegulatory ApprovalAI SolutionsEvaluation Rubrics
About the role
Key responsibilities & impact- Apply scientific expertise to contribute to customer-focused success criteria, evaluation rubrics, and acceptance criteria for AI solutions
- Contribute to defining evaluation scope, metrics, and scenarios using domain knowledge across drug discovery, drug development, and regulatory approval
- Build and curate scientific test sets and benchmarks reflecting real-world use of life sciences and regulatory data
- Adapt LLM-as-jury evaluation approaches to specific products, use cases, and metrics, and validate and refine their performance with scientific domain experts
- Conduct manual and automated evaluations of AI outputs, investigate discrepancies and failure modes, and provide evidence-based feedback on evaluation quality
- Collaborate with product, data science, and engineering teams to understand how AI systems access, interpret, and use scientific data
- Document evaluation findings, limitations, and recommendations for cross-functional teams to support product improvements and release decisions
Requirements
What you’ll need- Strong academic background in life sciences, such as bioinformatics, cheminformatics, biochemistry, pharmacology, or a related field
- Experience evaluating AI or algorithmic outputs using scientific data
- Experience applying scientific expertise in structured data or content environments, such as databases, taxonomies, knowledge graphs, or similar systems
- Familiarity with how AI products access and use data, including a general understanding of data flows, APIs, and version-controlled workflows such as GitHub
- Collaborative mindset and clear communication skills
Benefits
Comp & perks- Numerous wellbeing initiatives
- Family leave
- Tuition reimbursement
- Flexible working hours
- Group Health Insurance Policy (covering self and family)
- Group Life insurance/accident policy
- Generous long-service awards
- New Baby gift
- Subsidized food provided (applies to India- Chennai)
- Casual Leave
- Sick Leave
- Privilege Leave
- Compassionate Leave
- Special Sick Leave
- Gazetted Public Holiday
- Maternity/Paternity Leave
- Free Transport provided to and from the office (applies to India-Chennai)