Drug Discovery Scientist (Medicinal Chemistry / Pharmacology)
Position: Drug hunters (chemists) or toxicologists
Type: Hourly contract
Compensation: $70-$100 per hour
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
• Review and annotate datasets related to drug discovery, pharmacology, and safety biology
• Interpret experimental outputs from target biology studies, biochemical assays, cellular models, and safety screens
• Analyze relationships between compound structure, potency, selectivity, exposure, and toxicity signals
• Identify mechanistic explanations behind efficacy or toxicity findings across discovery experiments
• Distinguish meaningful biological signal from experimental artifacts, assay interference, or model limitations
• Audit annotated datasets for biological, pharmacological, and safety accuracy
• Validate structure–activity relationships, target engagement logic, and pharmacokinetic interpretations
• Evaluate AI-generated reasoning on drug mechanism, toxicity risk, and safety margins
• Ensure correct interpretation of dose-response relationships, exposure margins, and translational relevance
• Contribute to annotation guidelines for drug discovery workflows, SAR, pharmacokinetics, toxicity mechanisms, and translational biology
• Provide expertise on balancing potency, selectivity, safety, and developability
• Advise on classification of toxicity findings, safety signals, and risk assessment frameworks
• Review AI-generated reasoning on drug mechanism, target biology, toxicity, and pharmacokinetics
• Assess whether conclusions logically follow from experimental evidence and biological context
• Provide structured feedback to improve scientific rigor and reasoning in model outputs
• Contribute to scientific standards documentation and training materials
• Help define gold‑standard examples of drug discovery reasoning and toxicity interpretation
• Support calibration workflows across pharmacology, toxicology, and translational biology
Requirements
• Advanced degree such as PhD, PharmD, DVM, MD, or MS with significant industry experience in medicinal chemistry, pharmacology, toxicology, chemical biology, molecular biology, pharmaceutical sciences, or biochemistry
• Hands‑on experience in drug discovery or safety assessment including target validation through lead optimization
• Experience in structure–activity relationship analysis
• Experience in pharmacokinetics and ADME interpretation
• Experience in toxicology and safety pharmacology studies
• Experience interpreting in vitro and in vivo experimental data
• Strong expertise in target biology and mechanism‑of‑action reasoning
• Understanding of dose‑response relationships and exposure margins
• Ability to interpret translational relevance between preclinical and clinical findings
• Knowledge of toxicity mechanisms such as liver toxicity, cardiovascular liabilities, genotoxicity, or reproductive toxicity
• Ability to evaluate safety findings for risk and program impact
• Experience reviewing primary experimental data and study reports
• Exceptional attention to scientific accuracy and mechanistic reasoning
• Experience in pharmaceutical or biotechnology drug discovery teams
• Background in lead optimization, translational biology, or nonclinical safety
• Familiarity with DMPK workflows, safety biomarkers, and regulatory toxicology considerations
• Experience contributing to cross‑functional discovery teams
• Exposure to AI or ML tools applied to biomedical research
Apply tot his job
Apply To this Job
Type: Hourly contract
Compensation: $70-$100 per hour
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
• Review and annotate datasets related to drug discovery, pharmacology, and safety biology
• Interpret experimental outputs from target biology studies, biochemical assays, cellular models, and safety screens
• Analyze relationships between compound structure, potency, selectivity, exposure, and toxicity signals
• Identify mechanistic explanations behind efficacy or toxicity findings across discovery experiments
• Distinguish meaningful biological signal from experimental artifacts, assay interference, or model limitations
• Audit annotated datasets for biological, pharmacological, and safety accuracy
• Validate structure–activity relationships, target engagement logic, and pharmacokinetic interpretations
• Evaluate AI-generated reasoning on drug mechanism, toxicity risk, and safety margins
• Ensure correct interpretation of dose-response relationships, exposure margins, and translational relevance
• Contribute to annotation guidelines for drug discovery workflows, SAR, pharmacokinetics, toxicity mechanisms, and translational biology
• Provide expertise on balancing potency, selectivity, safety, and developability
• Advise on classification of toxicity findings, safety signals, and risk assessment frameworks
• Review AI-generated reasoning on drug mechanism, target biology, toxicity, and pharmacokinetics
• Assess whether conclusions logically follow from experimental evidence and biological context
• Provide structured feedback to improve scientific rigor and reasoning in model outputs
• Contribute to scientific standards documentation and training materials
• Help define gold‑standard examples of drug discovery reasoning and toxicity interpretation
• Support calibration workflows across pharmacology, toxicology, and translational biology
Requirements
• Advanced degree such as PhD, PharmD, DVM, MD, or MS with significant industry experience in medicinal chemistry, pharmacology, toxicology, chemical biology, molecular biology, pharmaceutical sciences, or biochemistry
• Hands‑on experience in drug discovery or safety assessment including target validation through lead optimization
• Experience in structure–activity relationship analysis
• Experience in pharmacokinetics and ADME interpretation
• Experience in toxicology and safety pharmacology studies
• Experience interpreting in vitro and in vivo experimental data
• Strong expertise in target biology and mechanism‑of‑action reasoning
• Understanding of dose‑response relationships and exposure margins
• Ability to interpret translational relevance between preclinical and clinical findings
• Knowledge of toxicity mechanisms such as liver toxicity, cardiovascular liabilities, genotoxicity, or reproductive toxicity
• Ability to evaluate safety findings for risk and program impact
• Experience reviewing primary experimental data and study reports
• Exceptional attention to scientific accuracy and mechanistic reasoning
• Experience in pharmaceutical or biotechnology drug discovery teams
• Background in lead optimization, translational biology, or nonclinical safety
• Familiarity with DMPK workflows, safety biomarkers, and regulatory toxicology considerations
• Experience contributing to cross‑functional discovery teams
• Exposure to AI or ML tools applied to biomedical research
Apply tot his job
Apply To this Job