2027 Future Talent Program - Data, AI, and Genome Sciences, Foundation Models - Intern
Core
Develop statistical and computational methods/pipelines to analyze genetic and genomic datasets for discovering novel targets and biomarkers of disease risk.
Role type
PhD intern, AI/ML Methods & Modeling
Builds
Analysis pipelines for large-scale human genetic and genomic datasets
Domain
Life sciences / Genomics / Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, JAX, statistical methods, software design, bioinformatic analysis
Preferred skills
fine-tuning foundation models on GPUs, biological foundation models, perturb-seq data, publications in top-tier ML conferences
Technologies
Python, PyTorch, TensorFlow, JAX
Responsibilities
Develop statistical and computational methods/pipelines to analyze genetic and genomic datasets; Analyze large-scale human genetic and genomic datasets to facilitate discovery of novel targets and biomarkers; Work within an integrated, interdisciplinary team supporting validation efforts, including bioinformatic analysis of bulk and single-cell sequencing.
Seniority
Intern
