<div class="datj"><header class="topbar"><div class="topbar-in"><a class="back" href="/"><span class="back-arrow">←</span>All roles</a><nav class="topbar-actions"><a class="link-quiet" href="https://app.dataannotation.tech/users/sign_in">Sign in</a><a class="btn btn-primary" href="https://app.dataannotation.tech/worker_signup?worker_src=ai_jobs&utm_source=webflow_jobby&utm_medium=web&utm_campaign=ai_training_jobs&utm_content=role_topbar_drug-discovery-scientist&utm_role=drug-discovery-scientist&projects=LS_JB">Apply now</a></nav></div></header><style>.rd-layout.rd-layout-v2{grid-template-areas:"title rail" "body rail";row-gap:40px;}.rd-layout-v2 article>.rd-section:first-child{margin-top:0;}.rd-layout-v2>.rd-title{grid-area:title;}.rd-layout-v2>article{grid-area:body;min-width:0;}.rd-layout-v2>.rail{grid-area:rail;}.rd-cta-btn{display:block;width:100%;margin-top:36px;text-align:center;}.rd-layout-v2~.similar{margin-top:56px;}@media(max-width:860px){.rd-layout.rd-layout-v2{grid-template-areas:"title" "rail" "body";row-gap:24px;}.rd-layout-v2>.rail{padding:16px;}.rd-layout-v2 .rail-rate{font-size:21px;}.rd-layout-v2 .rail-meta{display:grid;grid-template-columns:1fr 1fr;gap:12px 16px;margin:14px 0;padding-top:14px;border-top:1px solid var(--line);}.rd-layout-v2 .rail-row{display:flex;flex-direction:column;align-items:flex-start;gap:2px;padding:0;border-bottom:none;}.rd-layout-v2 .rail-row span:first-child{font-size:10.5px;text-transform:uppercase;letter-spacing:.04em;color:var(--faint);}.rd-layout-v2 .rail-row span:last-child{font-size:13.5px;color:var(--ink);text-align:left;}}</style><main class="wrap"><div class="rd-layout rd-layout-v2"><div class="rd-title"><h1>Drug Discovery Scientist</h1></div><article><section class="rd-section"><h2>Overview</h2><p>We’re looking for experienced drug discovery scientists to help train AI models. You’ll design realistic discovery and preclinical tasks from your own practice, run them through frontier AI systems, and grade what comes back against a professional standard.</p><p>The models can talk fluently about drug discovery. What they can’t yet do reliably is the real work: SAR analysis, screening triage, DMPK and PK/PD interpretation, or a candidate-selection call. Your judgment moving programs from target to IND becomes the benchmark those models are measured against.</p></section><section class="rd-section"><h2>What you’ll actually do</h2><ul><li><b>Design realistic discovery tasks</b> from your own workflows: the scenario, the prompt, and the files an agent would need (assay result tables, SAR spreadsheets, DMPK summaries, study reports, program-review decks).</li><li><b>Run tasks through frontier AI agents</b> and grade the deliverable (a decision memo, screening workbook, or tox summary) against the standard you’d hold a colleague to.</li><li><b>Write clear grading rubrics</b> (the right compounds advanced, the right liabilities flagged, the right calculations) and explain why a response passes or fails.</li><li><b>Flag concrete failures with evidence:</b> misread assay data, SAR conclusions the data don’t support, PK parameters misinterpreted, unit and scaling errors, or missed safety liabilities.</li></ul><p><b>Problems draw on whatever you know best:</b></p><ul><li><b>Medicinal chemistry and SAR / lead optimization.</b></li><li><b>Computational chemistry and CADD.</b></li><li><b>Assay development and screening.</b></li><li><b>DMPK, PK/PD, ADME, and preclinical safety.</b></li><li><b>Translational and biomarker science, biologics and advanced modalities, and CMC / process development.</b></li></ul></section><section class="rd-section"><h2>Roles this fits</h2><p>Common backgrounds: Medicinal Chemist, DMPK / PK-PD Scientist, Discovery Biologist.</p></section><section class="rd-section"><h2>What we look for</h2><ul><li>3+ years hands-on in a discovery or preclinical setting (pharma, biotech, or an academic drug-discovery unit), counted after undergraduate study.</li><li>Depth in at least one of: medicinal chemistry and SAR; computational chemistry / CADD; assay development and screening; DMPK / PK-PD / ADME; preclinical safety and toxicology; translational and biomarker science; protein or antibody engineering; cell and gene therapy; CMC and formulation.</li><li>Familiarity with drug discovery end to end: target validation, hit finding, hit-to-lead, lead optimization, candidate selection, and IND-enabling studies.</li><li>A hands-on practitioner who does (or recently did) the bench or analysis work yourself, not solely in a managerial capacity.</li><li>Master’s or PhD (or current PhD candidate) in biology, chemistry, pharmacology, or a related field, completed in the U.S., Canada, Europe, or the UK.</li><li>Clear written English, comfort with ambiguity, and familiarity with AI/LLM tools like Claude or ChatGPT.</li><li>Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted).</li></ul></section><section class="rd-section"><h2>How it works</h2><div class="rd-steps"><div class="rd-step"><span class="rd-step-n"></span><h3>Apply</h3></div><div class="rd-step"><span class="rd-step-n"></span><h3>Qualify</h3></div><div class="rd-step"><span class="rd-step-n"></span><h3>Work & get paid</h3></div></div></section><section class="rd-section"><h2>Compensation</h2><p>Up to $40 – $75+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.</p></section><section class="rd-section"><h2>About DataAnnotation</h2><p>DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.</p></section><a class="btn btn-primary btn-lg rd-cta-btn" href="https://app.dataannotation.tech/worker_signup?worker_src=ai_jobs&utm_source=webflow_jobby&utm_medium=web&utm_campaign=ai_training_jobs&utm_content=role_bottom_drug-discovery-scientist&utm_role=drug-discovery-scientist&projects=LS_JB">Apply now</a></article><aside class="rail"><span class="rail-label">Hourly rate up to</span><span class="rate rail-rate">$40 – $75+ <small>/ hour</small></span><div class="rail-meta"><div class="rail-row"><span>Location</span><span>Remote</span></div><div class="rail-row"><span>Commitment</span><span>Flexible hours</span></div><div class="rail-row"><span>Type</span><span>Independent contractor</span></div><div class="rail-row"><span>Payouts</span><span>Weekly</span></div></div><a class="btn btn-primary btn-lg rail-btn" href="https://app.dataannotation.tech/worker_signup?worker_src=ai_jobs&utm_source=webflow_jobby&utm_medium=web&utm_campaign=ai_training_jobs&utm_content=role_rail_drug-discovery-scientist&utm_role=drug-discovery-scientist&projects=LS_JB">Apply now</a></aside></div><section class="similar"><div class="proof-head"><h2>Similar roles</h2><a class="see-all" href="/">View all roles →</a></div><div class="grid"><a class="card" href="/job-board/mathematician"><h2>Mathematician</h2><div class="card-foot"><span class="rate">$40 – $125+ <small>/ hr</small></span><span class="hired">141 hired recently</span></div></a><a class="card" href="/job-board/physicist"><h2>Physicist</h2><div class="card-foot"><span class="rate">$40 – $125+ <small>/ hr</small></span><span class="hired">39 hired recently</span></div></a><a class="card" href="/job-board/chemist"><h2>Chemist</h2><div class="card-foot"><span class="rate">$40 – $125+ <small>/ hr</small></span><span class="hired">31 hired recently</span></div></a></div></section></main><footer class="footer"><div class="footer-in"><p>© Data Annotation 2026<br>All rights reserved.</p><div class="footer-links"><a href="https://www.dataannotation.tech/">dataannotation.tech</a><a href="https://www.dataannotation.tech/faqs">FAQs</a><a href="https://www.dataannotation.tech/trust-safety">Trust & Safety</a><a href="https://app.dataannotation.tech/da-privacy-policy">Privacy Policy</a><a href="https://app.dataannotation.tech/da-cookie-policy">Cookie Policy</a></div></div></footer></div>