Pioneering Intelligence: Data Science Co-Op (Embedded Science Team)

About the role

This position is open exclusively to current Northeastern University Co-Op students.

Work Period: January 2027 to June 2027. This is a full - time, 40 hours per week position with 5 days in office.

What if... you could use AI to impact an entire ecosystem of life science companies?

Pioneering Intelligence (PI) is a Flagship initiative focused on developing and harnessing AI/ML based platforms for innovative applications in life sciences and beyond. We are looking for extraordinary computational scientists and engineers to work alongside our machine learning team to solve the most impactful challenges in AI for the life sciences.

Flagship Pioneering Co-Op Program

Welcome to Flagship Pioneering Co-Op Program for the cohort dreaming big and taking courageous leaps. You'll join fellow peers across our ecosystem of companies and learning firsthand how we build first-in-category companies. You'll have access to enrichment sessions, a dedicated professional development track, and a mentor that help guide you toward your next step. By the end, you will carry on a meaningful project outcome, a genuine network, and a front-row view of how Flagship pioneer new ventures that change the world.

The Role

Our Co-ops will work on challenging problems in machine learning and computational science for the life-sciences. They will work closely with a team of interdisciplinary scientists consisting of ML and domain experts to advance the state-of-the art in machine learning and contribute to our ongoing efforts. This is an exciting opportunity to be part of a fast-paced, highly dynamic entrepreneurial environment. We work on problems and use techniques like:

• Generative models for biomolecular design including flow matching, diffusion, and language models.
• Self-learning agentic systems.
• Biophysical simulation.

Key Responsibilities

• Work with an interdisciplinary team of scientists to build models, organize data and deliver computational solutions.
• Experiment with diverse datasets and novel techniques.
• Communicate your work to a multi-disciplinary audience.

Basic Requirements

• Fluency in Python and experience implementing ML methods with standard tools and packages (e.g., PyTorch, JAX).
• Readiness to deep dive into the biology/physics/chemistry of the platform companies we build

Preferred Requirements

• Publications or experience in CS, ML, Computational Chemistry/Biology or a similar computational field.
• 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).

What We Offer

• Build alongside founders. You'll work inside the same hypothesis-driven process Flagship uses to conceive and launch first-in-category companies.
• This can be the start of a longer story. Strong co-ops are considered for future opportunities across Flagship and its portfolio companies, not just for this one role.
• Work alongside people who left the safe path. Your colleagues are scientists, engineers, and operators who chose to build something new rather than join something already established.
• Take on real ownership. You're contributing to ventures that are still being defined. Your work can shape real decisions, not just support them.
• Be paid like the contributor you are. Compensation reflects the real work you take on.

• The pay range for this role is $25 - $35 per hour.
• This role is a short-term engagement that is not eligible for health and welfare benefits.
• Retirement benefits may be available after completing a set number of hours.
• Compensation and benefits information is based on Flagship Pioneering's good faith estimate as of the date of publication and may be modified in the future.