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Postdoctoral Machine Learning Jobs in Massachusetts

This postdoctoral position will involve leading independent research, as well as conducting ... machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities ...

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Postdoctoral Machine Learning information

What is a postdoctoral machine learning?

A Postdoctoral Machine Learning job is a research-focused position for individuals who have recently earned a Ph.D. in machine learning, artificial intelligence, or a related field. It typically involves conducting advanced research, publishing papers, collaborating with academic or industry partners, and developing novel algorithms or models. These roles are often hosted by universities, research institutes, or tech companies. The position helps researchers gain additional expertise and contribute to cutting-edge advancements before transitioning to faculty, industry, or independent research roles.

What are the typical daily responsibilities of a postdoctoral machine learning researcher?

A Postdoctoral Machine Learning researcher typically spends their day designing and implementing machine learning algorithms, analyzing experimental results, and preparing manuscripts for publication. They often collaborate with interdisciplinary teams of scientists and engineers, attend lab meetings, and contribute to grant writing or project proposals. Regular activities also include keeping up with recent scientific literature, mentoring graduate or undergraduate students, and presenting research findings at conferences or seminars. The blend of technical development and scientific communication makes each day dynamic and offers opportunities to influence both academia and industry.

What are the key skills and qualifications needed to thrive in a postdoctoral machine learning position?

To thrive as a Postdoctoral Machine Learning researcher, you need a strong background in machine learning theory, statistical analysis, and programming, typically supported by a Ph.D. in computer science, engineering, or a related quantitative field. Experience with Python, TensorFlow, PyTorch, and advanced data analytics tools is highly valued, as are relevant publications and experience with version control systems like Git. Strong problem-solving abilities, clear communication skills, and effective teamwork are crucial to excel in collaborative research settings. These skills and qualities are essential to drive innovative research, efficiently navigate complex datasets, and contribute to impactful scientific discoveries.

What are popular job titles related to Postdoctoral Machine Learning jobs in Massachusetts?

For Postdoctoral Machine Learning jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Postdoctoral Machine Learning jobs in Massachusetts look for?

The top searched job categories for Postdoctoral Machine Learning jobs in Massachusetts are:

What cities in Massachusetts are hiring for Postdoctoral Machine Learning jobs?

Cities in Massachusetts with the most Postdoctoral Machine Learning job openings:

Infographic showing various Postdoctoral Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

HMS - Postdoctoral Fellow in Zitnik Lab

Harvard University

Cambridge, MA • On-site

$53K - $72K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Harvard University rating

8.5

Company rating: 8.5 out of 10

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Job description

Details

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

The position is available immediately and can be renewed annually. Interested applicants should submit the following documents via email to Prof. Zitnik (marinka@hms.harvard.edu) and use the subject line "Postdoctoral Research Fellows in Generative, Multimodal, and Agentic AI":

  • Curriculum Vitae (include links to your academic webpage and GitHub repositories for methods you developed)
  • Three representative publications (preprints are acceptable)
  • Statement of research (two pages) describing prior research experience and future research plan
  • Contacts for three letters of recommendation (the letters will be solicited after the initial review)

We are currently reviewing applications. Interested candidates are encouraged to submit their applications early.

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.

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