Director, Target Biology

Required Skills, Experience and Education

• PhD in chemical biology, cell-biology, biochemistry, or a related scientific discipline.
• Minimum of 10 years of industry experience, ideally in early-stage drug discovery.
• Experience as a team leader in an industry setting with demonstrated ability to build strong cross-functional relationships and effectively drive early discovery programs.
• Proven problem solver with strong scientific background and expertise in experimental design and data interpretation.
• Excellent communication and decision-making skills.

Preferred Skills

• Knowledge of molecular glue discovery, cellular models, phenotypic screening, and target identification by chemical labeling.
• Familiarity with multi-omics data, genetic screens (e.g., synthetic lethality) and their application in early discovery.
• Experience applying advanced analytical techniques (e.g. AI and ML) to generate hypotheses from large, multidimensional data sets.
• Project team leadership experience in early-stage discovery programs.
• Experience working with different modalities, such as small molecules, biologics, and molecular glues.

The Opportunity

Lead a team of scientists focused on target identification, prioritization, and biological validation.

Work cross-functionally with partners in Medicinal Chemistry, Structural Biology, Discovery Biology, Translational Research, and Cancer Immunology to prioritize oncology targets, implement hit discovery plans, and drive progression from hit identification through lead generation.

Collaborate with the Translational Research function to apply learnings from clinical and preclinical studies to inform new target identification and prioritization.

Spearhead innovative approaches and technologies for target discovery and hit identification, specifically in the context of hard-to-drug oncology targets.

Provide scientific leadership to the team, including technical guidance, coaching, and mentoring.

Foster a culture of curiosity, scientific rigor, and excellence, driven by RevMed’s core values and commitment to improving patients’ lives.

Implement data-driven decision-making processes to prioritize targets and allocate resources effectively.