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PhD Biologist, AI Expert
Weekday (YC W21). Review life sciences-related tasks and AI-generated outputs for scientific accuracy, logical consistency, and research-level rigor .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in evaluating scientific accuracy and rigor in life sciences, with a strong focus on developing advanced problem statements and reference solutions. Proficient in utilizing Large Language Models and AI tools to enhance research workflows and provide structured feedback.
Highest-signal resume keywords
PhD In Life SciencesSenior-Level Research ExperienceStrong Peer-Reviewed Publication RecordHands-On Experience With LLMsExcellent Written Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Scientific Accuracy EvaluationResearch-Level Problem DevelopmentExperimental Design AnalysisBiological Mechanism AssessmentData BenchmarkingEvaluation Methodology DesignReference Solution CreationAnalytical SkillsCritical ThinkingFeedback Structuring
Soft Skills
CollaborationAttention To Detail
Tools & Technologies
Large Language ModelsAI Tools
Industry Keywords
BiochemistryMolecular BiologyCell BiologyGeneticsImmunologyNeuroscienceLife SciencesResearch WorkflowsScientific RigorPeer-Reviewed Research
About the role
Key responsibilities & impact- Review life sciences-related tasks and AI-generated outputs for scientific accuracy, logical consistency, and research-level rigor
- Identify unsupported causal claims, flawed experimental designs, incorrect biological mechanisms, unjustified assumptions, and scientific inaccuracies
- Develop precise, challenging, research-level problem statements
- Create detailed, scientifically rigorous reference solutions
- Design advanced scientific problems, evaluation datasets, and benchmarks
- Evaluate AI-generated explanations, hypotheses, experimental approaches, and biological interpretations
- Collaborate with AI researchers and subject matter experts to establish evaluation methodologies and improve model performance
- Translate specialized scientific knowledge into structured feedback, evaluation criteria, and measurable quality standards
Requirements
What you’ll need- PhD in Biochemistry, Molecular Biology, Cell Biology, Genetics, Immunology, Neuroscience, or a closely related Life Sciences discipline
- Senior-level academic or research experience, such as faculty appointment, Principal Investigator, Staff Scientist, Senior Scientist, or equivalent senior research position
- Deep specialization in at least one listed life sciences domain
- Strong peer-reviewed research publication record
- Hands-on experience using Large Language Models (LLMs) and AI tools in scientific, academic, or research workflows
- Strong analytical and critical-thinking abilities
- Excellent written communication skills and ability to provide precise, structured, technically sound feedback
- Must be currently based in the United States
- H-1B and STEM OPT visa holders cannot be accommodated
Benefits
Comp & perks- Fully remote work arrangement
- Flexible schedule
- Weekly payments through Stripe or Wise
- Independent contractor engagement