Head of AI Drug Discovery

Head of AI Drug Discovery Overview We are seeking a highly interdisciplinary scientist to lead and execute AI-driven drug discovery programs, with a unique blend of hands‑on experimental (wet lab) experience and deep understanding of machine learning‑enabled discovery. This individual will play a critical role in shaping a next‑generation discovery engine, where computational predictions and experimental validation are tightly integrated to accelerate therapeutic development. Key Responsibilities Lead and contribute to AI-enabled drug discovery programs from target identification through lead optimization Design and execute wet lab experiments (e.g., molecular biology, cell‑based assays, functional screening) to validate computational predictions Partner closely with ML / computational teams to: Translate biological questions into modeling problems Generate high‑quality datasets for training and validation Iteratively refine models via experimental feedback loops Drive development of integrated discovery workflows combining in silico prediction with high‑throughput experimental systems Interpret multi‑omic and screening data to inform model performance and biological hypotheses Help define and build AI‑enabled platform capabilities (e.g., assay systems, screening strategies, data pipelines) Mentor and lead cross‑functional teams across biology, chemistry, and data science Contribute to scientific strategy, platform direction, and external collaborations Qualifications Required Ph.D. in Biology, Bioengineering, Computational Biology, Chemistry, or related field 8‑15+ years of experience in biotech/pharma drug discovery environments Hands‑on wet lab expertise, such as: Molecular biology, protein engineering, cell biology, or assay development High‑throughput or functional screening systems Proven experience working in or alongside AI/ML‑driven discovery programs Strong understanding of how experimental data feeds into machine learning models Track record of advancing programs (e.g., lead identification, preclinical milestones, or IND‑enabling work) Preferred Direct experience building or working within an AI‑first drug discovery platform Familiarity with: Generative AI / deep learning approaches Computational chemistry, protein design, or omics‑driven discovery Exposure to closed‑loop experimental + modeling systems Experience at AI‑driven biotech companies (e.g., Recursion, Insitro, Exscientia, Generate, etc.) Leadership experience managing cross‑functional teams Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. In addition to base pay, direct‑hire employees may be eligible for client‑offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change. #J-18808-Ljbffr Real Staffing