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Machine Learning Postdoc Jobs in Massachusetts (NOW HIRING)

Worcester Polytech

Post-Doctoral Fellow

Worcester, MA

$65K - $75K/yr

The postdoc is expected to lead research activities, including multimodal data integration and pre-processing , development and validation of predictive machine learning models, communication of the ...

Jj

Postdoctoral Scientist - RWE Neurology

Cambridge, MA · On-site

The postdoctoral scientist will work at the intersection of real-world data, historical clinical ... Develop and apply statistical and machine learning methods to support patient subtyping, disease ...

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Machine Learning Postdoc information

See Massachusetts salary details

$23.6K

$122.3K

$230.1K

How much do machine learning postdoc jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning postdoc in Massachusetts is $122,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,221.00 and $168,425.00 per year, depending on experience, location, and employer.

What is a machine learning postdoc?

A Machine Learning Postdoc is a research-focused position typically held after earning a Ph.D. in a related field. It involves conducting advanced research in machine learning, developing new algorithms, and publishing in top-tier conferences and journals. Postdocs often collaborate with faculty, industry partners, and other researchers to advance the state of the art in AI. The role may include mentoring students and contributing to grant proposals. It serves as a bridge between doctoral studies and a long-term academic or industry research career.

What are the typical responsibilities and collaborative aspects of a machine learning postdoc?

A Machine Learning Postdoc typically conducts original research, develops and tests new algorithms, and contributes to academic publications or patent applications. Daily tasks often involve data analysis, model building, and experimentation using advanced computational tools. Collaboration is key in this role, as postdocs frequently work alongside faculty, graduate students, and external industry partners to advance research objectives. Additionally, they may mentor junior researchers or students, present at conferences, and participate in grant writing or project planning. This mix of independent research and team collaboration fosters both professional growth and impactful scientific advancements.

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

To thrive as a Machine Learning Postdoc, you need a deep understanding of machine learning algorithms, statistical modeling, and research methodology, typically supported by a completed PhD in a related field. Proficiency with programming languages like Python or R, experience with ML libraries (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are important. Strong analytical thinking, effective communication, and the ability to collaborate across multidisciplinary teams are standout soft skills in this position. These qualifications ensure innovative research contributions, successful project execution, and effective dissemination of findings in both academic and applied settings.

What are the most commonly searched types of Machine Learning Postdoc jobs in Massachusetts?

The most popular types of Machine Learning Postdoc jobs in Massachusetts are:

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

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

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

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

Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in Massachusetts as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $122,293 per year, or $58.8 per hour.

HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI)

Harvard University

Cambridge, MA • On-site

$54K - $73K/yr

Full-time

Re-posted yesterday

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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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