The AI Internship provides an opportunity to learn about Flagship's company creation process while leveraging your computational biology expertise. The role will focus on supporting the ecosystem through the development of ML models and AI-enabled tools. Through these activities, you will have multiple opportunities to engage with leaders and scientists within both Flagship and portfolio companies through one-on-one mentorship, presentations, and participation in ecosystem-wide events. The position is ideal for someone interested in developing a deeper understanding of the biotech industry while contributing as a thought leader and developer to a range of projects.
Key Responsibilities:
Learn Flagship Pioneering's system of generating and refining actionable pioneering hypotheses
Contribute to the development of ML models and AI tools that accelerate scientific research and the origination of new companies
Build LLM-enabled agents for biological data access, management, transformation, and analysis
Iterate with internal end users to deliver an effective user experience
Work directly with highly experienced Flagship Pioneering team members-a group of innovative and experienced scientists, entrepreneurs, and executives
Explore full-time opportunities at Flagship Pioneering and our AI/ML-focused companies
Qualifications:
Currently enrolled in a PhD program in Biology, Computer Science, Machine Learning, Applied Mathematics, or a related field.
Deep research experience in at least one of the following fields: machine learning, modeling and simulation, computational biology
Record of scientific and academic excellence and creativity in the ability to solve complex scientific problems
A passion for innovation and a willingness to explore uncharted territories.
At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.