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Postdoctoral Machine Learning Jobs in Massachusetts

NorthEastern

Postdoctoral Research Associate

Boston, MA · On-site

$60K - $85K/yr

The Postdoctoral Research Associate will receive professional development training, gain valuable ... Effectively design, implement, and evaluate machine learning and computational methods * Work with ...

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Postdoctoral Machine Learning information

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$64.5K

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How much do postdoctoral machine learning jobs pay per year?

As of Jun 16, 2026, the average yearly pay for postdoctoral machine learning in Massachusetts is $64,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $72,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Postdoctoral Machine Learning position, and why are they important?

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 is a Postdoctoral Machine Learning job?

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 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:
Postdoctoral Machine Learning jobs near you
HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI)

HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI)

Harvard University

Cambridge, MA • On-site

$54K - $73K/yr

Full-time

Posted 28 days ago

Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

130th of 537 rated colleges and universities

Job description

Position
Details
Title
HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI)
School
Harvard Medical School
Department/Area
Biomedical Informatics-Quad
Position Description
The Department of Biomedical Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich information on complex diseases. The goal of our efforts is to build and apply automated analytical pipelines for various types of pathology data, including histopathology images and multi-omics (e.g., genomics, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with our multidisciplinary team, and publish the findings.
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
  • A Ph.D. in a Biomedical Informatics, Computational Biology, Computer Science, or a related field is required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential.

Additional Qualifications
Strong problem-solving and communication skills are highly desirable for this opportunity.
Special Instructions
Required documents:
  • Curriculum Vitae
  • Statement of Research for 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.
  • Note with names and contact information for three people who have agreed to serve as your reference

Please send your curriculum vitae, two representative papers, and the names and contact information of three references to Kun-Hsing Yu, MD, PhD. (kun-hsing_yu@hms.harvard.edu)
Expected Dates
  • Start date: This position is available immediately
  • Duration: This position has strong potential to be renewed on an annual basis.

Contact Information
Faith McDonald
Countway Library
695 Huntington Ave.
Boston, MA 02115
Contact Email
faith_mcdonald@hms.harvard.edu
Salary Range
https://postdoc.hms.harvard.edu/guidelines
Minimum Number of References Required
Maximum Number of References Allowed
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