About the role#
Flagship Labs 117 is an AI and biology startup building multi-modal generative models for biomolecular design. As a co-op, you will join an interdisciplinary team of machine learning researchers, computational biologists, and biophysicists. You will work on molecular representation and generative modeling to help advance our drug discovery platform. This position is open exclusively to current Northeastern University students.
What you'll do#
- Build and deploy models in collaboration with scientists.
- Curate and organize data from various public and proprietary sources.
- Run experiments using diverse datasets and novel techniques.
- Communicate your findings to a multi-disciplinary audience.
What you'll need#
- Fluency in Python.
- Experience implementing machine learning methods with tools like PyTorch or JAX.
- A desire to learn the biology, physics, and chemistry behind our platform.
- Experience with RDKit, BioPython, Rosetta, OpenMM, or PySCF.
- A background in computer science, machine learning, or computational biology through coursework or publications.
- Familiarity with generative models, natural language processing, graphical neural networks, or reinforcement learning.
- Experience with software development tools including git and cloud computing platforms like AWS, GCP, or Azure.
Location & details#
- Location: Cambridge, Massachusetts.
- Term: January 2027 to June 2027.
- Schedule: Full-time, 40 hours per week, 5 days per week on-site.
- Compensation: $25 - $35 per hour.
About Flagship Pioneering
Flagship Pioneering is a biotechnology firm based in Cambridge, Massachusetts. Founded in 2000, the company focuses on inventing and building platform companies that develop products for human health and sustainability. It has originated more than 100 scientific ventures since its inception. The current ecosystem includes over 40 companies, such as Indigo Agriculture and Generate:Biomedicines.
How to get in at Flagship Pioneering
Applying early is a significant advantage when pursuing an internship at Flagship Pioneering, as recruiters often review candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, helping you secure a spot at the front of the line. You can reach out to recruiters directly to ask about the role or a potential referral, which often improves your response rates compared to submitting through a general queue. Intern Insider surfaces the specific recruiters behind these roles so you can make that connection yourself.
