Pharma/Biotech Expert - Drug Discovery

**Pharma/Biotech Expert

• Drug Discovery**

Work as a Pharma/Biotech Expert

• Drug Discovery and play a central role in advancing transformative therapeutics As a scientific thought partner, you will critically analyze early-stage discovery programs, evaluate experimental designs, and interpret complex preclinical datasets

Details

• Job type: Part-time
• Location: Remote

Day-to-day

• Critically assess target validation approaches, assay design parameters, and high-throughput screening data quality
• Interpret structure-activity relationship (SAR) trends and provide guidance on hit-to-lead and lead optimization strategies
• Evaluate mechanistic hypotheses, protein-ligand interactions, and assess potency/selectivity trade-offs
• Analyze developability risks, including drugability, liability assessment, and safety considerations
• Review preclinical pharmacology, ADME profiles, and suggest key follow-up experiments to address data gaps
• Summarize scientific findings and deliver structured, evidence-based evaluations for AI training and cross-functional review
• Communicate scientific insights with clarity, demonstrating strong written and verbal skills to support effective collaboration

You bring

• PhD in Medicinal Chemistry, Biochemistry, Molecular Biology, Chemical Biology, or a related discipline; OR MS/BS with 8+ years of relevant pharma/biotech discovery experience
• Minimum 3 years industry experience in drug discovery, lead optimization, biologics engineering, or assay development
• Expertise in preclinical evaluation, mechanistic
• Analysis:, lead optimization, and target validation. Proficiency with small molecule or biologics discovery workflows and experimental design
• Strong ability to critically evaluate scientific literature, mechanism-of-action studies, and preclinical datasets
• Exceptional written and verbal communication skills, with a commitment to collaborative problem solving

Bonus

• Background in structural biology, medicinal chemistry, or biologics engineering
• Experience summarizing preclinical findings for AI-based applications or scientific review panels
• Track record of providing actionable recommendations to multidisciplinary R&D teams