AI Research Scientist Intern (Summer 2026)
About The Position
Pioneering Intelligence builds on Flagship Pioneering’s legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to accelerate fundamental research and create a portfolio of AI-first companies. As part of Flagship’s integrated model of science, entrepreneurship, and capital, it transforms breakthrough ideas into world-changing companies, elevating the AI advances happening across the ecosystem in human health, sustainability, and beyond. The Role Our AI Research Interns for Summer 2026 will work on fundamental problems in machine learning for biology and chemistry. They will work closely with a team of interdisciplinary scientists consisting of ML and domain experts to contribute to our ongoing research efforts and advance the state-of-the art in machine learning. This is an exciting opportunity to be part of a fast-paced, highly dynamic entrepreneurial environment. Past internship projects include: Generative models for biomolecular design. Long-context techniques. Mechanistic Interpretability for protein folding models NLP and agentic systems.
Requirements
- Current PhD student in CS, Computational Biology, or related field.
- Experience with ML research and applications to problems in Biology and/or Chemistry.
- Fluency in Python and experience implementing ML methods with standard tools and packages (e.g., PyTorch, JAX).
Nice To Haves
- Publications in CS, ML, Computational Biology or a similar computational field.
- Experience with large, high-dimensional datasets.
- Experience with generative models, natural language processing, graphical neural networks, reinforcement learning, or similar.
- Familiarity with software development, including git and public cloud computing resources (e.g. AWS, GCP, Azure).
Responsibilities
- Conduct research at the intersection of ML and biology in collaboration with an interdisciplinary team of scientists.
- Experiment with large datasets and novel techniques.
- Communicate your work to a multi-disciplinary audience, both internally and externally.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
501-1,000 employees
