At Flagship Pioneering, the business problem is to harness science and entrepreneurialism to envision alternative futures and navigate to transformational outcomes through an iterative, evolutionary methodology, with a focus on leveraging advances in computing, big data, and AI to solve the most impactful challenges in AI and the life sciences.
Requirements
- PhD or other relevant graduate degree in computer science, statistics, applied mathematics, physics, biology, neuroscience, chemistry, or another discipline with a strong quantitative focus
- Deep research and/or industry experience in at least one of the following fields: machine learning, modeling and simulation, computational biology, computational neuroscience, computational chemistry
- Strong programming background (high proficiency in Python, R, or similar required)
- History leveraging quantitative approaches to pursue creative solutions to challenging problems
- Comfort with scientific uncertainty and ambiguity of outcomes; self-starter mentality
- Demonstrated leader, effective communicator, and strong team player
- Experience with big data and AI advances
Responsibilities
- Learn and implement Flagship Pioneering’s unique process of generating and refining actionable, pioneering venture hypotheses
- Exhibit and develop your creativity, adaptability, and ability to innovate in a fast-paced and dynamic environment
- Explore ideas & innovations with the potential to become breakthrough companies
- Meet, network with, and learn from experienced members of the Flagship team from across our Ecosystem – Associates, Partners, Business Unit and functional leaders, CEOs and more
- Build relationships and expand your professional network through a diverse and successful cohort of peers and alumni
- Explore full-time opportunities at Flagship Pioneering and our AI/ML-focused companies
- Work in teams to generate novel scientific concepts that challenge dogma by leveraging their scientific instincts and creativity
Other
- Full-time, in-person commitment from June 1st – August 21st 2026
- Available for potential full-time employment in Cambridge MA no later than June 1st 2027
- Commitment to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
- Ability to work in a fast-paced and dynamic environment
- Strong communication and teamwork skills
