Medicinal Chemist or Toxicology Expert – AI Drug Discovery Research | Remote

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

Job summary

A leading pharmaceutical consultancy is looking for drug hunters or toxicologists to work remotely on a contract basis. You will be responsible for reviewing datasets related to drug discovery and safety, analyzing biological signals, and providing expert feedback to improve model outputs. Applicants should have an advanced degree and significant experience in drug discovery or safety assessment. This role offers flexibility in hours and a competitive hourly rate ranging from $70-$100.

Qualifications

• Advanced degree required (PhD, PharmD, DVM, MD, or MS) with significant experience in related fields.
• Hands-on experience in drug discovery or safety assessment.
• Exceptional attention to scientific accuracy and mechanistic reasoning.

Responsibilities

• Review and annotate datasets related to drug discovery.
• Evaluate AI-generated reasoning on drug safety and mechanisms.
• Contribute to scientific standards documentation.

Skills

Drug discovery expertise

Toxicology knowledge

Data analysis skills

Attention to detail

Experience with DMPK workflows

Biological signal interpretation

Education

PhD or equivalent in relevant field

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