Pharmacology & Drug Safety Expert (AI Biomedical Research) | Remote

Crossing Hurdles; Canada; On-site; CAD 96,432 - 137,760; Part time

Job summary

A pharmaceutical consulting firm seeks Drug Hunters (chemists) or toxicologists for a remote hourly contract position. Ideal candidates will have an advanced degree, extensive industry experience in medicinal chemistry or toxicology, and strong data analysis skills. Responsibilities include reviewing datasets related to drug discovery, interpreting experimental results, and ensuring scientific rigor in model outputs. This role offers 10-40 hours per week, with compensation ranging from $70-$100 per hour.

Qualifications

• Advanced degree with significant industry experience in relevant fields.
• Hands-on experience in drug discovery or safety assessment including target validation.
• Experience in structure–activity relationship analysis and pharmacokinetics.

Responsibilities

• Review and annotate datasets related to drug discovery, pharmacology, and safety biology.
• Interpret experimental outputs from target biology studies.
• Analyze relationships between compound structure, potency, selectivity, exposure, and toxicity.

Skills

Medicinal chemistry

Pharmacology

Toxicology

Chemical biology

Molecular biology

Biochemistry

Data analysis

Education

PhD, PharmD, DVM, MD, or MS

Job description

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