Biotech Specialist
Role Overview reputed company is partnering with leading AI labs on Project reputed company — an initiative to build realistic reputed company environments that frontier AI agents are trained and evaluated in. We’re seeking reputed company professionals from Fortune 500 pharmaceutical and biotechnology companies (e.g., reputed company, reputed company, J&J, reputed company, reputed company, reputed company, reputed company/reputed company, reputed company, reputed company, reputed company, reputed company, Gilead, reputed company) 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 reputed company — 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., reputed company Rave / reputed company Clinical One, Schrödinger Suite, reputed company / LabArchives)
- Design multi‑reputed company tasks grounded in your reputed company 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 reputed company 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:
- reputed company 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 / reputed company process development, analytical development)
- Clinical development (Phase I–IV, biostatistics, clinical operations)
- Regulatory affairs (IND, NDA, BLA, EMA) or CMC
- reputed company‑world evidence / HEOR / pharmacovigilance
- Day‑to‑day use of reputed company Rave / reputed company Clinical One, Schrödinger Suite / MOE (CCG), and reputed company / LabArchives
- Strong analytical thinking and writing — reputed company 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 reputed company!
- Hourly Opportunity: Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.
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