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Fellow in AI/ML for Cellular and Protein Computational Biology
Harvard University
Application
Details
Posted: 24-Apr-26
Location: Cambridge, Massachusetts
Internal Number: 16199
School: Faculty of Arts and Sciences
Position Description:
The Kempner Institute at Harvard University seeks early-career researchers to help shape the future of AI as Kempner AI Fellows. We are looking for candidates with strong foundations in modern AI/ML and the ambition to develop new AI approaches for high-impact problems in cellular and protein computational biology.
This role focuses on applying modern AI/ML methods to protein and cellular biology, including protein structure prediction, protein–protein and small-molecule–protein docking, cell state prediction from large-scale Perturb-seq datasets, and multimodal modeling of protein function and cellular state.
We seek candidates with strong technical preparation in modern AI/ML, a demonstrated record of research accomplishment, and experience in computational biology or biological data analysis. Strong candidates may come from protein-focused, cell-state-focused, or multimodal biological modeling backgrounds and will have expertise in one or more of the following areas:
foundation model training, evaluation, and adaptation
protein structure modeling and docking
cell state prediction from large-scale perturbation datasets
multimodal modeling for protein function and cellular state prediction
familiarity with AlphaFold, RFDiffusion, CellCap, or related models for protein and cellular biology
AI Fellows will work closely with one another and with Kempner faculty, researchers, and students on foundational machine learning and biologically informed scientific applications. The position is particularly well-suited to candidates eager to apply their technical expertise in modern AI to important problems in protein biology, cellular systems, and biological intelligence.
Appointment Terms
Fellows will conduct research under the direction of a Kempner Institute investigator.
Fellows are appointed for a one-year term; reappointment may be possible for up to three consecutive years.
Due to the importance of in-person mentoring, this position is based on campus, full-time, at Harvard University. Remote work for this position is not possible.
Basic Qualifications:
Bachelor's or master's degree in computer science, statistics, electrical engineering, applied mathematics, computational biology, bioengineering, biophysics, or a related quantitative field required by the expected start date.
Strong technical background in modern AI/ML, including deep learning and hands-on experience with frameworks such as PyTorch or JAX
Demonstrated research productivity, including publications in venues such as ICML, ICLR, NeurIPS, RECOMB, ISMB, or similar, and/or substantial open-source research contributions
Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models
Strong programming skills in Python and experience building and maintaining research code
Demonstrated ability to use modern AI-assisted and agentic coding tools effectively, such as Claude Code, Codex, or similar systems, in research and development workflows
Ability to work effectively in a collaborative research environment and communicate technical work clearly
Additional Qualifications:
Experience with foundation model training, post-training, adaptation, or evaluation
Experience with protein structure modeling, protein–protein docking, or small-molecule–protein docking
Experience with cell state modeling from large-scale perturbation datasets, including Perturb-seq or related data
Experience with multimodal modeling for protein function or cellular state prediction
Familiarity with models and methods relevant to protein and cellular biology, including AlphaFold, RFDiffusion, CellCap, or related systems
Experience with large-scale datasets, distributed training, or high-performance computing environments
Expertise in scientific applications of AI/ML in protein biology, cellular systems, and related areas of computational biology
Contact Information:
Molly Marshall
Contact Email: Kempnerinstitute@harvard.edu
Equal Opportunity Employer:
Harvard University is committed to equal opportunity and non-discrimination . We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, sex, ethnicity, color, national origin, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy . Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
Salary Range:
Expected annual salary is $54,600 for candidates holding a bachelor's degree and $60,060 for candidates holding a master's degree. Salary will be commensurate with qualifications and experience.
Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000 degree candidates, including undergraduate, graduate, and professional students. Harvard has more than 360,000 alumni around the world. The University has twelve degree-granting Schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. Established in 1636, Harvard is the oldest institution of higher education in the United States.