AI/ML Fellow for Cellular & Protein Biology

Harvard University

Harvard (IL)

On-site

USD 55,000 - 61,000

Full time

8 days ago
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Job summary

Harvard University seeks an early-career Fellow in AI/ML for cellular and protein computational biology. The role focuses on applying modern AI/ML methods to protein and cellular biology, including structure modeling, docking, and multimodal modeling of protein function and cellular state.

The Fellow will work closely with Kempner Institute faculty and students, contribute to foundational ML research, and participate in on-campus, full-time activities starting Sept 15, 2026.

Qualifications

  • Bachelor’s or master’s degree in a related quantitative field required by the expected start date.
  • Strong AI/ML background with deep learning and frameworks like PyTorch or JAX.
  • Publications in top venues or substantial open-source contributions.
  • Experience building, training, evaluating ML models.
  • Strong Python programming and research code skills.

Responsibilities

  • Apply modern AI/ML methods to protein and cellular biology problems.
  • Collaborate with Kempner faculty, researchers, and students on ML foundations and applications.
  • Develop ML approaches for biological problems like protein structure modeling and perturbation datasets.
  • Engage in multimodal modeling for protein function and cellular state prediction.

Skills

AI/ML fundamentals
Deep learning
Python programming
Research productivity
Collaborative work

Education

Bachelor's or Master’s degree in computer science or quantitative field

Tools

PyTorch
JAX
Claude Code
Codex

Job description

Harvard University seeks an early-career Fellow in AI/ML for cellular and protein computational biology. The role focuses on applying modern AI/ML methods to protein and cellular biology, including structure modeling, docking, and multimodal modeling of protein function and cellular state.

The Fellow will work closely with Kempner Institute faculty and students, contribute to foundational ML research, and participate in on-campus, full-time activities starting Sept 15, 2026.

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