2026 Future Talent Program - Data Science or AI/ML - Co-op

Job Description

The Future Talent Program features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals.

There are two positions in the Artificial Intelligence Machine Learning (AI/ML) group. Candidates can apply for the opportunity to be involved in a project designed to enable students to further develop their skills and to evaluate if we are the right company for their long-term goals. We are seeking highly motivated and talented students with computational skills and experience.

Data Science (1 position, On Site in Cambridge MA)

Some potential projects could include:
•    Graph-based representational learning for biological inference.
•    Construction and characterization of Graph Neural Networks.
•    Integration of graph representations with omics-based foundation models.
•    Develop methods and techniques to enable harmonization of metadata.

Artificial Intelligence Machine Learning (1 position, On Site in Cambridge MA)

Some potential projects could include:
•    Developing methods for improving the trainability and interpretability of foundation models 
•    Building foundation models capable of better modeling perturbational biology
•    Developing multi-modal models to learn representations from multi-omic data
•    Exploring approaches for probing trained foundation models for learned biology
•    Optimal experimental design to learn predictive models in small data regimes

Required Education and Skills:

•    Candidates must be currently enrolled in a minimum of a Bachelor's degree program in Computer Sciences, Statistics, Biostatistics, Biological Engineering, Computational Biology, or a related field of study. Students enrolled in graduate programs (MS or PhD) are highly encouraged to apply.
•    Candidates must be available to work full-time for 6 months in 2026.

Preferred Skills and Experience:

•    Candidates should have experience with Python, and experience with the analysis of single-cell RNA-seq datasets is beneficial.
•    Candidates should have demonstrated communication and interpersonal skills as well as the ability to work well in a collaborative team environment.
•    Candidates should have excellent academic achievement and analytical ability.
•    Candidates should have experience with modern deep learning tooling including PyTorch and / or JAX and GPUs.
•    Candidates should have eExperience with multi-GPU model training.
•    Candidates should have experience with cloud computing, AWS, and command line terminal.

Please note that this position may be closed before the posted end date or may remain open longer, at the discretion of the company.

Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected salary range: $39,600.00–$105,500.00

FTP2026

RL2026

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

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As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.  As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.  For more information about personal rights under the U.S. Equal Opportunity Employmen