Pharmaceuticals & Biotechnology Expert

**Role Overview** Mercor is partnering with leading AI labs on **Project Atlas** — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in. We're seeking experienced professionals from **Fortune 500 pharmaceutical and biotechnology companies** (e.g., Pfizer, Merck, J&J, AbbVie, Lilly, Bristol-Myers Squibb, Roche/Genentech, Novartis, Moderna, Regeneron, Amgen, Gilead, Vertex) **and major academic and translational research centers** to recreate the digital workspaces they run every day and design the tasks that genuinely challenge state-of-the-art AI. This world combines **pharmaceutical clinical development** and **biotech R&D operations** into a single environment — spanning the bench-to-clinic lifecycle from discovery and lab research through clinical trials, regulatory submission, and CMC. You'll bring your expertise across drug discovery, preclinical / translational research, clinical development, bioprocess / lab operations, or regulatory / CMC to build a high-fidelity environment that mirrors the tools, files, and workflows of a regulated pharma-biotech enterprise — and then author tasks grounded in the programs you actually run today. **Key Responsibilities** - Build a realistic digital workspace centered on the Drive folders you use day-to-day — study protocols, investigator brochures, IND / NDA / BLA drafts, pharmacology and biomarker analyses, assay and bioprocess development records, CMC technical reports, DMC briefing documents, lab notebooks, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., Medidata Rave / Oracle Clinical One, Schrödinger Suite, Benchling / LabArchives) - Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents - Collaborate with other pharma and biotech experts to design the environment, shape task scope, and review each other's scenarios for realism and rigor - Work asynchronously with research teams to refine task designs and evaluation criteria for pharma / biotech agent benchmarks - Contribute to frontier AI research and benchmarking — the work you produce directly informs how leading labs train and evaluate the next generation of AI systems **Ideal Qualifications** - PhD / MD / PharmD or MS with deep experience; industry fellowship training a plus - 3+ years of full-time experience at a **Fortune 500 pharma / biotech or top academic / translational research center** - Background in one or more areas such as: - Target ID / drug discovery (medicinal chemistry, biology, HTS, DMPK) - Preclinical / translational research (PK/PD, tox, biomarker) - Biotech R&D / bioprocess (molecular & cell biology, assay development, upstream / downstream process development, analytical development) - Clinical development (Phase I–IV, biostatistics, clinical operations) - Regulatory affairs (IND, NDA, BLA, EMA) or CMC - Real-world evidence / HEOR / pharmacovigilance - Day-to-day use of Medidata Rave / Oracle Clinical One, Schrödinger Suite / MOE (CCG), and Benchling / LabArchives - Strong analytical thinking and writing — able to translate pharma / biotech R&D workflows into structured task specs **Compensation Note** - **Task Completion Pay:** Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves) - **Performance Bonus:** Top performers receive a weekly bonus incentive on top of their per task rate! - **Hourly Opportunity:** Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.