Weekday AI

Pharmaceutical

PharmaceuticalR&DAISpecialist

$0–0k Mexico; India PART TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

Pharmaceutical
Problems you'll solve

analytical thinking

Eligibility Requirements

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)

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