Pharmaceutical R&D AI Specialist

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🕒 May 5

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

☁️ SaaS

🎯 Recruiter

Human Resources • SaaS • Recruitment

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• 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

🎯 Requirements

• 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) • - 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) • Strong analytical thinking and ability to translate complex workflows into structured task designs • Excellent written communication and attention to detail.