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 full-time internship lasting 10–12 weeks, with one opening in the AI/ML Methods & Modeling Group. The intern may contribute to one or more projects that develop students’ skills and help them assess whether the company aligns with their long-term goals. The program seeks highly motivated students with computational skillsets. The AI/ML Methods & Modeling work focuses on developing statistical and computational methods and pipelines for genetic and genomic dataset analysis; analyzing large-scale human genetic and genomic datasets to support discovery of novel targets and biomarkers of disease risk and progression; and contributing to validation efforts in an interdisciplinary team, including bioinformatic analysis of bulk and single-cell sequencing. The position is based in Cambridge, Massachusetts, and is scheduled for 12 weeks beginning in May or June 2027.
Requirements
- Must be currently enrolled in a PhD degree 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 ML 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 ML 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
