Weekday AI
Pharmaceutical
PharmaceuticalR&DAISpecialist
Neural analysis suggests this role is
optimal for Mid candidates.
“Pharmaceutical R&D AI Specialist at Weekday AI. Skills: pharmaceutical R&D expertise, AI system development, environment simulation. Build realistic digital workspaces that mirror day-to-day pharma R&D environments. Design multi-step, workflow-driven tasks that require navigating multiple tools, datasets, and stakeholders”
What You'll Achieve.
shaping how next-generation AI systems operate in regulated research settings; validate realism, rigor, and relevance of scenarios; refine task structures and evaluation frameworks; benchmarking and improving AI systems used in pharmaceutical research
Industry & Context.
analytical thinking
Independent contractor engagement, Work must not involve sharing confidential or proprietary information from any current or past employer or institution, This opportunity does not currently support certain work authorization categories
What They're Looking For.
Must Have
3+ years of full-time experience in a pharmaceutical, biotech, or leading academic research environment, Expertise in one or more of the following areas: Drug discovery (medicinal chemistry, biology, HTS, DMPK); Preclinical / translational research (PK/PD, toxicology, biomarkers); Clinical development (Phase I–IV, biostatistics, clinical operations); Regulatory affairs (IND, NDA, BLA, EMA) or CMC; Real-world evidence, HEOR, or pharmacovigilance, Hands-on experience with industry-standard tools and platforms (e. g. , clinical data systems, modeling software, lab management tools), analytical thinking and ability to translate complex workflows into structured task designs, Excellent written communication and attention to detail
Nice to Have
industry fellowship training is a plus
What You'll Do.
Build realistic digital workspaces that mirror day-to-day pharma R&D environments
workflow-driven tasks that require navigating multiple tools
Incorporate commonly used platforms into task environments
Contribute to benchmarking and improving AI systems used in pharmaceutical research
How You'll Work.
Team & Collaboration
Collaborate with peer experts to validate realism, rigor, and relevance of scenarios; Work asynchronously with research teams to refine task structures and evaluation frameworks
Communication Scope
Excellent written communication
Full Job Description
**This role is for one of our clients** **Compensation: $60-$80 per hour ** We are partnering with leading AI labs on our **Project -** an initiative to build realistic enterprise environments where advanced AI agents are trained and evaluated. We are seeking experienced pharmaceutical research professionals from top pharma, biotech organizations, and leading academic research centers to recreate real-world digital workspaces and design complex tasks that reflect actual R&D workflows. In this role, you will leverage your expertise across drug discovery, preclinical/translational research, clinical development, or regulatory/CMC to simulate high-fidelity pharma environments and contribute directly to shaping how next-generation AI systems operate in regulated research settings. **Requirements** **What You’ll Do** * Build realistic digital workspaces that mirror day-to-day pharma R&D environments, including study protocols, investigator brochures, IND/NDA drafts, pharmacology reports, biomarker analyses, CMC documentation, and internal communications * Design multi-step, workflow-driven tasks that require navigating multiple tools, datasets, and stakeholders * Incorporate commonly used platforms (e.g., clinical trial systems, molecular modeling tools, electronic lab notebooks) into task environments * Collaborate with peer experts to validate realism, rigor, and relevance of scenarios * Work asynchronously with research teams to refine task structures and evaluation frameworks * Contribute to benchmarking and improving AI systems used in pharmaceutical research **Who You Are** * Advanced degree (PhD, MD, PharmD, or MS with significant experience); industry fellowship training is a plus * 3+ years of full-time experience in a pharmaceutical, biotech, or leading academic research environment * Expertise in one or more of the following areas: * Drug discovery (medicinal chemistry, biology, HTS, DMPK) * Preclinical / translational research (PK/PD, toxicology, biomarkers)
Applying for this Pharmaceutical R&D AI Specialist role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Weekday AI?
Real rants from real employees. Read before you apply.