PhD Pharmacologist, Toxicologist – Drug Discovery, AI Expert

Weekday (YC W21)

. Work with AI research and engineering teams to identify scientific knowledge gaps and improve model performance across drug discovery, pharmacology, toxicology, ADME, and PK/PD .

Posted 11/12/2026part-timeRemote • United Kingdom, United StatesMid-LevelSenior💰 $70 - $100 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in drug discovery, pharmacology, and toxicology, with a strong focus on analyzing experimental data and improving AI model performance. Proficient in developing structured solutions and providing detailed feedback to enhance scientific quality and reliability.

Highest-signal resume keywords

PhD In PharmacologyDrug Discovery ExperienceExperimental Data AnalysisAnalytical Problem-SolvingWritten Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Drug DiscoveryPharmacologyToxicologyADMEPK/PDExperimental Data AnalysisAssay DesignCompound OptimizationScientific ReasoningData Interpretation

Soft Skills

Analytical AbilitiesProblem-SolvingCommunication Skills

Tools & Technologies

PK/PD SoftwareData Analysis SoftwareScientific AI ToolsLC-MS

Industry Keywords

PharmaceuticalBiotechnologyCRODMPKBiochemistryIn-Vitro AssaysSafety Assessment

About the role

Key responsibilities & impact

Work with AI research and engineering teams to identify scientific knowledge gaps and improve model performance across drug discovery, pharmacology, toxicology, ADME, and PK/PD
Design domain-specific drug discovery tasks, benchmarks, and training datasets assessing scientific reasoning
Develop structured solutions to complex drug discovery problems, including assay-result interpretation, compound-liability identification, and compound-optimization planning
Evaluate AI-generated outputs and reasoning for scientific logic, factual accuracy, and appropriate use of scientific tools
Provide detailed written feedback to improve the reliability and scientific quality of AI-generated responses
Develop task specifications, grading rubrics, and verification processes for drug discovery data
Assess assay design and quality control, identify experimental failure modes, and validate biological and pharmacological relevance
Review experimental findings and scientific evidence for implications on compound selection and optimization
Collaborate with subject-matter experts to ensure consistency, accuracy, and scientific rigor across AI training datasets

Requirements

What you’ll need

PhD in Pharmacology, Toxicology, Pharmaceutical Sciences, DMPK, Biochemistry, or a closely related discipline; equivalent research experience may also be considered
At least 3 years of experience in early- to mid-stage drug discovery, pharmacology, DMPK/ADME, or toxicology within a recognized pharmaceutical or biotechnology company, CRO, or academic drug discovery group
Hands-on experience analyzing experimental drug discovery data, including in-vitro ADME and safety assay results, PK/PD studies, CRO-generated assay data and experimental readouts, or LC-MS-based bioanalytical data
Ability to interpret experimental findings and use scientific evidence to guide compound selection, safety assessment, and optimization decisions
Familiarity with PK/PD or data analysis software and scientific AI tools
Strong analytical and problem-solving abilities, with an understanding of drug discovery workflows and experimental methodologies
Excellent written communication skills, including the ability to explain complex scientific concepts and technical decisions clearly
Ability to commit reliably to at least 20 hours per week during weekdays
Applicants must be based in the United Kingdom or on the US East Coast
H-1B and STEM OPT candidates cannot be supported for this opportunity

Benefits

Comp & perks

Flexible schedule
Fully remote work arrangement
Weekly payments through Stripe or Wise, based on services rendered
Engagements may be extended, shortened, or concluded early depending on project requirements and performance
Equal employment opportunities
Reasonable accommodations available to qualified applicants upon request