Research Leader (Toxicology)

Location: Cambridge, Massachusetts, United States; hybrid work with attendance in the office 3 days per week

Company

AI-driven drug discovery organization developing predictive and generative models to accelerate the design of medicines and advance digital biology.

What you will do

• Design and implement AI-first safety assessment strategies for small-molecule and biologic drug discovery programs.
• Develop screening cascades, mechanistic experiments, and structure–activity relationship understanding for toxicology liabilities.
• Define regulatory safety packages and author toxicology sections for regulatory submissions.
• Partner with machine learning and data strategy teams to develop predictive toxicology capabilities and analyze model-development data.
• Manage CRO relationships and oversee external data-generation campaigns for portfolio projects and AI-based toxicology models.
• Mentor junior team members and contribute to an inclusive, collaborative culture.

Requirements

• Ph.D. in Toxicology, Pharmacology, or Biology, or a DVM/MD with relevant experience.
• Board certification and extensive senior toxicology experience across multiple therapy areas in biotech or pharma.
• Demonstrated experience filing successful INDs or CTAs for both small molecules and biologics.
• Deep understanding of global regulatory guidelines for safety assessment and experience working with Discovery and Clinical teams.
• Strong written and verbal communication, interpersonal, influencing, problem-solving, and cross-functional collaboration skills.

Nice to have

• Experience with peptides and other new modalities.
• Understanding of machine learning techniques.
• Familiarity with Python and KNIME.

Culture & Benefits

• Hybrid working model with regular in-person collaboration.
• Collaborative interdisciplinary environment spanning drug discovery, toxicology, and machine learning.
• Emphasis on curiosity, creativity, integrity, inclusion, and continuous professional development.
• Supportive environment focused on shared learning and diverse perspectives.