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Drug Discovery Specialist – Freelance AI Trainer
Invisible Technologies. Challenge advanced language models on drug discovery topics .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in drug discovery, particularly in medicinal chemistry and pharmacology, with a strong focus on high-throughput screening and molecular modeling. Proficient in communicating complex concepts clearly and effectively while contributing to AI systems for scientific discovery.
Highest-signal resume keywords
Drug Discovery ExpertiseMedicinal ChemistryPharmacologyPhD in Pharmaceutical SciencesClear Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
High-Throughput ScreeningTarget ValidationADMET ProfilingLead OptimizationMolecular ModelingStructure-Based Drug DesignLigand–Receptor InteractionsIn Silico Docking StudiesAssay DevelopmentBiomarker Identification
Soft Skills
Metacognitive CommunicationProblem-Solving
Tools & Technologies
AI SystemsComputational Chemistry
Industry Keywords
Translational ResearchPreclinical Candidate EvaluationPeer-Reviewed PublicationsLab-Based Discovery ResearchChemical Libraries
About the role
Key responsibilities & impact- Challenge advanced language models on drug discovery topics
- Converse with the model on compound screening strategies and theoretical drug design questions
- Verify factual accuracy and logical soundness
- Capture reproducible error traces and document failure modes
- Suggest improvements to prompt engineering and evaluation metrics
- Help train AI systems intended to support scientific discovery, education, and laboratory work
Requirements
What you’ll need- Drug discovery expertise in medicinal chemistry, pharmacology, high-throughput screening, target validation, ADMET profiling, lead optimization, molecular modeling, structure-based drug design, and translational research
- Expertise in ligand–receptor interactions, pharmacokinetics and pharmacodynamics, in silico docking studies, assay development, chemical libraries, biomarker identification, and preclinical candidate evaluation
- PhD in pharmaceutical sciences, chemistry, pharmacology, or a closely related life-science field is ideal
- Peer-reviewed publications, lab-based discovery research, or applied computational chemistry projects signal fit
- Clear, metacognitive communication and ability to “show your work”
- Secure computer and high-speed internet
Benefits
Comp & perks- Pay range of $8-to-$65 per hour
- Company-sponsored benefits such as health insurance and PTO do not apply; contractor supplies a secure computer and high-speed internet