2027 Future Talent Program - Data, AI, and Genome Sciences, Foundation Models - Intern
About The Position
The Future Talent Program within the Research & Development Division’s Data, AI, and Genome Sciences Department is offering a 10–12-week internship in the AI/ML Methods & Modeling Group. There is one open position. Interns may contribute to one or more projects designed to help students develop their skills and assess whether the company aligns with their long-term goals. The role involves developing statistical and computational methods and pipelines to analyze genetic and genomic datasets; analyzing large-scale human genetic and genomic datasets to support discovery of novel targets and biomarkers of disease risk and progression; and working with an integrated, interdisciplinary team on validation efforts, including bioinformatic analysis of bulk and single-cell sequencing. The position is full-time for 12 weeks in Cambridge, Massachusetts, beginning in May or June 2027. No relocation or travel is provided or required, and visa sponsorship is not available.
Requirements
- Must be currently enrolled in a PhD program in Computer Science, Statistics, Bioinformatics, Computational Biology, or a related technical field.
- Must be available to work full-time for 10–12 weeks beginning in May or June 2027.
- Excellent software design and development skills and strong proficiency in Python.
- Strong proficiency in modern machine-learning frameworks such as PyTorch, TensorFlow, or JAX, and experience implementing scalable solutions for complex tasks.
- Excellent communication skills and ability to work collaboratively in a multidisciplinary team.
- Interest in life sciences problems and disease biology, and willingness to learn from and teach others.
Nice To Haves
- Experience fine-tuning foundation models on multiple GPUs.
- Experience with biological foundation models, such as single-cell foundation models.
- Experience with biological data, such as perturb-seq.
- Publications in top-tier machine-learning conferences, such as NeurIPS, ICML, or ICLR.
Responsibilities
- Develop statistical and computational methods and pipelines to analyze genetic and genomic datasets.
- Analyze large-scale human genetic and genomic datasets to facilitate discovery of novel targets and biomarkers of disease risk and progression.
- Work within an integrated, interdisciplinary team supporting validation efforts, including bioinformatic analysis of bulk and single-cell sequencing.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
