Job ID: 7517
Job Title: Vice President, Computational Science & AI/ML
Location: Cambridge, MA
Why This Role Matters:
You will be at the forefront of deploying predictive and generative AI technologies that deliver novel insights from a vast and continuously expanding immune synapse database. You will lead a talented team of data scientists, computational biologists, and engineers, fostering innovation in a collaborative, fast-paced environment. Your leadership will impact key discoveries that push the boundaries of immune medicine and revolutionize how we approach therapeutic development.
Your Impact:
- Set the Vision: Define and lead the strategy for leveraging data science and AI to fuel discovery and therapeutic breakthroughs across the organization.
- Innovate: Position the company as a recognized leader in generative AI, transforming how immune medicines are discovered and developed.
- Drive Execution: Oversee the architecture, analysis, modeling, and deployment of AI-driven platforms to streamline data integration, visualization, and discovery.
- Lead the Team: Build, mentor, and grow a world-class team of machine learning scientists, bioinformaticians, and computational engineers to push the limits of AI in biological research.
- Advance Discovery: Develop analytical methods and machine learning models to analyze complex datasets, predict biological outcomes, and surface novel findings.
- Collaborate: Work cross-functionally to integrate AI insights into broader research initiatives, ensuring alignment with experimental platforms and therapeutic goals.
- Champion Innovation: Represent the AI-driven computational platform to internal leadership, external partners, academia, and investors.
Key Responsibilities:
- Develop and execute a visionary AI strategy to support discovery and therapeutic development
- Lead cutting-edge research and development of machine learning models
- Provide leadership in single-cell sequencing data analysis and the development of computational tools that unlock biological insights
- Manage multiple high-impact projects while maintaining scientific rigor and transparency
- Communicate progress and key insights to stakeholders, ranging from technical experts to executives
- Build and manage budgets while driving innovation
Qualifications:
- PhD in a quantitative field, AI, or a related field, with significant experience in applying AI/ML to complex biological systems
- Proven track record of leading high-performing teams and driving AI innovation
- Exceptional communication skills, with the ability to inspire teams and influence senior leadership
- Strong publication record
