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Since 2009, the Flagship Pioneering Fellowship has offered outstanding scientists, engineers, inventors, data scientists, and budding entrepreneurs an unparalleled opportunity to apply scientific expertise, entrepreneurial talent, and a self-starter mentality toward creating the next world-changing startups and ventures in human health, sustainability, AI, and beyond.

A summer as a Flagship Pioneering Fellow is an intense and exciting opportunity to work hand-in-hand with Flagship’s seasoned professionals through our uniquely entrepreneurial scientific exploration process to build breakthrough platform and product companies that change the world.

"At Flagship, we see AI as an accelerant to the scientific method itself."

— Noubar Afeyan, Founder & CEO

We welcome Fellows of all levels of AI/ML experience who are eager to learn, collaborate, and apply these tools to build transformative ventures. Click here for more information on the AI/ML Fellowship track.

Immersed in our unique company creation process, Fellows start by asking “What if” or “If only.” Working in teams, they use their scientific instincts and creativity to generate novel concepts that go beyond existing scholarship and challenge the dogma of human health, technology, AI, and sustainability. Fellows then learn to iterate, challenge, and shape these ideas into unreasonable yet compelling hypotheses with the potential to produce pioneering new ventures.

As a Flagship Pioneering Fellow you will:

• Learn and implement Flagship Pioneering’s unique process of generating and refining actionable, pioneering hypotheses
• Exhibit and develop your creativity, adaptability, and ability to innovate in a fast-paced and dynamic environment
• Explore ideas and innovations with the potential to become breakthrough companies in industries ranging from human health to sustainability, technology, AI, and beyond
• 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 network with a diverse and successful cohort of peers and alumni
• Explore full-time opportunities at Flagship Pioneering and our Ecosystem of companies

The Flagship Pioneering Fellowship serves as an important pipeline in recruiting for foundational roles at Flagship Pioneering, including:

• Associate positions in Flagship Labs origination teams and roles in Pioneering Intelligence, our dedicated AI initiative
• Foundational, ground-level leadership positions at Flagship-founded companies in human health, sustainability, technology, AI, and beyond

Graduates of the Fellowship have also gone on to exciting careers in biotech and life science, including:

• A variety of scientific and strategy roles in independent companies and startups
• Scientists and leaders in global biotech and pharmaceutical companies such as AstraZeneca, Alnylam, and Biogen
• Roles at leading academic and research institutions, such as Stanford, Memorial Sloan Kettering Cancer Center, the Broad Institute, Whitehead Institute, MIT, Koch Institute, and the Chan Zuckerberg Biohub

Many of the companies Flagship has created over the past 25 years have leveraged advances in computing, big data, and AI. In recent years, this trend has accelerated with first-in-category life science companies such as Generate:Biomedicines, Cellarity, Valo, Apriori Bio, and Lila Sciences.

The AI Fellowship at Flagship Pioneering provides an unrivaled opportunity for individuals to creatively harness computational thinking toward cross-disciplinary innovation as part of our venture creation process. We are looking for extraordinary computational scientists and entrepreneurs to learn our unique company creation process and work alongside entrepreneurs and scientists within the Flagship Ecosystem focused on solving the most impactful challenges in AI and the life sciences. AI/ML Fellows will generate novel venture hypotheses that challenge dogma and have an opportunity to advance these ideas through a hands-on implementation project.

The AI/ML Fellowship track is intended for candidates with deep research and/or industry experience in computational fields such as machine learning, modeling and simulation, computational biology, computational neuroscience, computational chemistry or another discipline with a strong quantitative focus. Proficiency in Python, R, or a similar language and experience building quantitative solutions to challenging problems are required.

Click here to return to the general track of the Flagship Fellowship.

To apply to the general track of the Flagship Fellowship, please submit your application here.

To apply to the AI/ML track of the Flagship Fellowship, please submit your application here.

If you’re not sure whether the general or AI/ML track is right for you, please don’t apply to both tracks. Choose the track that feels closest to your interests and we will migrate your application if we think there’s a better fit. If you have questions, contact Fellowship Director Bradley Coleman.

Information Sessions about the 2026 Fellowship are offered on the following dates and times:

• November 6, 2025, 2–3 PM EDT
• December 9, 2025, 10–11 AM EDT
• January 7, 2026, 11 AM–12 PM EDT

Sign up here to select your preferred date and time.

Qualifications

• Deep expertise in any scientific, computational or technical field or specialty: biology, chemistry, agriculture, engineering, AI/ML, computer science, materials science, etc.
• Completed or within the final year of a professional scientific degree (PhD, MD, or international equivalent). Select exceptions for AI/ML track applicants with a completed master’s degree.
• Comfort with scientific uncertainty and ambiguity of outcomes; self-starter mentality; demonstrated leader, communicator, and strong team player

Former Fellows sat down with us to reflect on grappling with being pushed outside their comfort zones, the advantages of meaningful collaboration and teamwork, and what it means to take bold scientific leaps at Flagship Pioneering. Watch the full series of videos.