VP, Head of Drug Discovery

The Opportunity: 

We are seeking an exceptional scientific leader to oversee our integrated Medicinal 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 of human 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. 

• Work across functions to ensure successful project transitions into development 

Innovation 

• Drive adoption of technologies including AI/ML-enabled molecular design, structure-based drug design, molecular simulations, free-energy calculations, generative chemistry, predictive ADME models, cheminformatics, and high throughput experimentation.  

• Promote rigorous evaluation of emerging technologies while maintaining strong emphasis on experimental validation.  

• Ensure computational methods accelerate discovery through measurable scientific impact rather than technology adoption alone.  

Your Background:  

• Ph.D. in Organic Chemistry or Computational Chemistry.  

• 15+ years of progressively increasing leadership responsibility in biotechnology and/or pharmaceutical drug discovery.  

• Demonstrated success leading multidisciplinary discovery organizations.  

• Proven track record of advancing multiple small molecule programs from target identification through development candidate nomination.  

• Deep understanding of medicinal chemistry, molecular design, ADME/DMPK, structure-based drug design, and computational chemistry.  

• Demonstrated success implementing modern computational approaches including AI/ML applications, molecular modeling, predictive property models, and data-driven discovery workflows into medicinal chemistry decision making.  

• Experience with emerging modalities including heterobifunctional and other beyond rule of 5 approaches 

• Strong scientific publication record and recognition within the drug discovery community.  

• Excellent communication and organizational leadership skills.  

Estimated Salary Range:  [$230,000 - $328,000]

The range provided above is based on what we believe to be a reasonable estimate for this job at the time of posting. Actual base salary will depend on a number of factors, including but not limited to, a candidate’s education, experience, skills and location.

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