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Title HMS - Postdoctoral Fellow in Zitnik Lab

School Harvard Medical School

Department/Area *

Position Description

We invite applicants for a postdoctoral fellow position in the

Zitnik lab at Harvard Medical School in Boston

Massachusetts. The work of the Zitnik lab is focused on

Artificial Intelligence for Medicine and Science.

The selected candidates will lead research in generative,

multimodal, and agentic AI, as well as foundation models,

with a focus on geometric deep learning, large-scale

knowledge graphs, and large language models. Fellows will

also have the opportunity to apply these methods to address

challenges in scientific discovery and precision medicine.

We seek highly-motivated applicants with background in one

or more of the following areas: agentic AI, geometric deep

learning, large-scale knowledge graphs, large language

models, multimodal learning, and generative AI. Successful

applicants will be strong technically as well as have an

inclination towards real-world problems. Ideal candidates will

have demonstrably strong research skills, evidenced by

multiple publications in top-tier machine learning or artificial

intelligence conferences and/or leading scientific journals.

Salary and Benefits

This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.

With this appointment, you are represented by the Harvard Academic Workers ( HAW ) – UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.

Basic Qualifications

• Ph.D. or M.D./Ph.D. in areas such as machine

learning, computer science or closely related field.

Excellent programming skills and practical

experience with leading machine learning

frameworks and modern AI environments, including

multi- GPU model training and large-scale inference

on dozens to hundreds GPUs, are required.

Additional Qualifications

Experience in applications of AI to biology and

medicine is a strong plus.

Special Instructions

Required documents:

CV

Research summary of PhD work.

Cover letter describing your interest in the lab and

initial ideas for new research directions or projects you

could undertake in the lab.

A NOTE with the names and contact information for

three people who have agreed to serve as a reference.

Please submit application documents through the ARIeS portal.

Expected Dates:

Duration: This is a one-year term position from the

date of hire, with the possibility of extension,

contingent upon work performance, business need,

and continued funding to support the position.

With this appointment, you are represented by the Harvard

Academic Workers ( HAW ) – UAW for purposes of collective

bargaining and matters affecting your compensation and

working conditions.

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.

Contact Information

Heather Viana

10 Shattuck St.

Boston, MA 02115

Contact Email heather_viana@hms.harvard.edu

Salary Range

Information regarding postdoctoral fellow salary, which is determined by the number of years post-PhD, can be found at https://postdoc.hms.harvard.edu/guidelines.

Minimum Number of References Required

Maximum Number of References Allowed

Keywords

EEO/Non-Discrimination Commitment Statement

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 (https://pa-hrsuite-production.s3.amazonaws.com/606/docs/1678254.pdf) policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy (https://pa-hrsuite-production.s3.amazonaws.com/606/docs/1674140.pdf) . 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.

Supplemental Questions