VP, Head of Drug Discovery

Relaytherapeutics
Location
Cambridge, MA
Job Type
Full-time
Posted
July 28, 2026
Views
1

Job Description

The Opportunity:

We are seeking an exceptional scientific leader to oversee our integratedMedicinal Chemistry, Computational Chemistry, Cheminformatics, and Drug Metabolism & Pharmacokinetics (DMPK)organizations. This individual will be responsible for driving the discovery and optimization of transformative small molecule therapeutics by building a highly collaborative, data-driven discovery engine that combines deep scientific expertise with modern computational approaches.

The successful candidate will be a recognized leader in small molecule drug discovery with a proven track record of advancing programs from hit identification through IND filing. They will be a key member of research leadership, fostering an environment where all disciplines work as a unified team to rapidly test hypotheses, learn from experimental data, and deliver differentiated medicines.

This role is ideal for a leader who is energized by solving complex scientific problems, embracing emerging technologies, and building high-performing scientific organizations within a fast-paced biotechnology environment.

We believe breakthrough medicines emerge from the seamless integration ofhuman creativity, rigorous experimentation, and advanced computational science. Our discovery strategy combines hypothesis-driven biology, medicinal chemistry, computational chemistry, structural biology, and DMPK to iteratively design, test, and refine molecules based on quantitative experimental evidence. By coupling deep scientific expertise with state-of-the-art computational technologies, we aim to accelerate learning, improve decision quality, and deliver differentiated therapies for patients with serious diseases.

Your Role:

Scientific Leadership

    Lead and integrate the Medicinal Chemistry, Computational Chemistry, Cheminformatics, and DMPK organizations to create a highly effective, collaborative drug discovery engine.
    Define and execute scientific strategies that enable rapid progression from target validation to development candidate nomination.
    Champion hypothesis-driven drug discovery by integrating predictive computational methods and medicinal chemistry.
    Ensure that molecular design decisions are informed by a comprehensive understanding of potency, selectivity, physicochemical properties, ADME, safety, developability, and translational considerations.
    Drive scientific excellence through rigorous data analysis, critical thinking, and evidence-based decision making.
    Ensure efficiency and optimal resource utilization through integration of emerging technologies when appropriate

Organizational Leadership

    Build strong partnerships across biology, biomolecular sciences, translational medicine, and project leadership.
    Guide portfolio prioritization and resource allocation.
    Create an environment where multidisciplinary teams operate with shared objectives and transparent communication.
    Remove organizational barriers that limit collaboration and ensure efficient decision-making across discovery functions.

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The job is located in Cambridge, MA. The posting does not specify a remote, hybrid, or on-site work-mode policy.
What are the key responsibilities of this role?
You will lead and integrate the Medicinal Chemistry, Computational Chemistry, Cheminformatics, and DMPK organizations. Key duties include defining scientific strategies from target validation to development candidate nomination, driving hypothesis-driven drug discovery, and ensuring molecular design decisions are informed by rigorous data analysis and translational considerations.
What qualifications and experience are required?
Candidates must be recognized leaders in small molecule drug discovery with a proven track record of advancing programs from hit identification through IND filing. Experience building high-performing scientific organizations in a fast-paced biotechnology environment is also required.

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Job Information

Source: greenhouse
AI Relevance: 65/100 (Relevant)
Remote Type: onsite
Allowed Locations: Cambridge, MA
Skills & Tags:
Computation

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