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Data Science Postdoc Jobs in Boston, MA (NOW HIRING)

NorthEastern

Postdoctoral Research Fellow

Boston, MA · On-site +1

The Postdoctoral Researcher will be based out of either the Boston, MA or Portland, ME campus and ... D. in computer science, AI, Data Science, computational biology, Ethics in AI, or health-related ...

MIT Human Resources

Research Scientist 2

Cambridge, MA · On-site

Will work in a leadership role as part of the newly established Data Science division at MIT's PSFC ... postdoctoral associates; contribute original research to the PSFC program; and produce work for ...

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How much do data science postdoc jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data science postdoc in Boston, MA is $61.72, according to ZipRecruiter salary data. Most workers in this role earn between $50.67 and $73.12 per hour, depending on experience, location, and employer.

What are typical daily or weekly responsibilities for a data science postdoc?

Data Science Postdocs often spend their days designing and conducting advanced data analyses, developing and testing predictive models, and communicating results through reports or academic publications. They frequently collaborate with faculty, graduate students, and industry partners on interdisciplinary projects, contributing their quantitative expertise. Additionally, Data Science Postdocs may mentor junior researchers, participate in lab meetings, present findings in seminars, and contribute to grant proposals. This dynamic environment provides opportunities to deepen research skills, publish impactful work, and prepare for future career advancement in academia or industry.

What are the key skills and qualifications needed to thrive in a data science postdoc position?

To thrive as a Data Science Postdoc, you need advanced analytical skills, expertise in statistical modeling, a doctoral degree in a quantitative field, and proven experience with data-driven research. Proficiency in programming languages like Python or R, along with experience using machine learning libraries, data visualization tools, and version control systems, is typically required. Excellent problem-solving abilities, collaborative teamwork, and effective communication skills help set outstanding candidates apart. These attributes are crucial for advancing knowledge, publishing impactful research, and working effectively within interdisciplinary research teams.

What is a data science postdoc?

A Data Science Postdoc is a temporary research position, typically at a university or research institution, for individuals who have recently completed a PhD. The role focuses on applying advanced data science techniques, such as machine learning, statistical modeling, and big data analysis, to solve complex research problems. Postdocs often work on interdisciplinary projects, collaborate with faculty, publish academic papers, and may also contribute to teaching. The goal is to build expertise, advance knowledge in a specific domain, and prepare for roles in academia, industry, or government.

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Data Science Postdoc jobs near you
Infographic showing various Data Science Postdoc job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,381 per year, or $61.7 per hour.

HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab)

Harvard University

Cambridge, MA • On-site

$54K - $73K/yr

Full-time

Medical, Vision

Re-posted 5 days ago

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Job description

Position
Details
Title
HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab)
School
Harvard Medical School
Department/Area
Position Description
Our Lab
Join our team of researchers, engineers, and designers to shape a future in which humans and AI collaborate to solve the most challenging biological and medical problems!
The HIDIVE Lab in the Department of Biomedical Informatics at Harvard Medical School is conducting research at the interface human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical data. In our work, we combine state-of-the-art biomedical informatics, data visualization, and AI/ML techniques across the full spectrum of biomedical data. An overview of recent publications of the lab can be found on Google Scholar.
We value diverse viewpoints, creative thinking, and bold initiative in a highly collaborative and interdisciplinary work environment. The HIDIVE Lab has an international reputation for creating high-impact data visualization tools, and we are driven to solve the most challenging design and engineering problems where biomedical data, humans, and AI meet. We would love to have you on our team!
Your Role
As a Postdoctoral Research Fellow in the lab, you will take a scientific leadership role and be in charge of one or more research projects. Under the mentorship of the PI, you will develop and execute strategies for
  • publishing,
  • collaboration, and
  • funding acquisition (grants, industry sponsorship)

to support and disseminate your work. You will also have the opportunity to
  • mentor junior lab members (interns, Master's and PhD students) and
  • Occasionally participate in teaching and outreach.

Research Fellows typically stay in the lab for a period of around 2 - 4 years with the aim of leading a research group as their next career step. Alternative career paths can be supported as well but the primary goal is to prepare Research Fellows for success as an independent researcher in academic or non-profit settings. To achieve your career goals, you will be able to take advantage of career development opportunities offered by the Harvard Medical School Postdoc Office and other Harvard University resources.
Our Research
We are currently looking for postdoctoral researchers who want to contribute to our mission by leading research projects in one or more of the following areas:
  • Generative AI for visual exploration of biomedical data
  • Interfaces for collaboration with AI Co-Scientists
  • Multimodal clinical data visualization, including EHR, imaging, genomics, and clinical trial data
  • Mixed Reality for 2D and 3D tissue data visualization in spatial biology
  • Communication and interactive storytelling through biomedical data visualization
  • Visualization of genome-mapped data (genomics, epigenomics, nucleomics, etc.)
  • Multimodal spatial and single-cell data visualization
  • 2D and 3D bioimaging data visualization
  • Data analysis and data management infrastructure for biomedical data visualization

Our Resources
The HIDIVE Lab participates in large-scale collaborative projects such as
  • NIH Human Biomolecular Atlas Program (HuBMAP)
  • NIH Cellular Senescence Network (SenNet)
  • NIH Kidney Precision Medicine Network (KPMP)
  • NIH Common Fund Data Ecosystem (CFDE)
  • APRA-H Biomedical Data Fabric (BDF)
  • Human Cell Atlas (HCA)
  • NIH 4D Nucleome Consortium (4DN).

Through these projects, we have access to a large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual collaborators at Harvard and beyond, who bring their computational, data science, and biomedical expertise to our projects.
Our work also benefits from multiple research software products (e.g.,HiGlass, Vitessce, Gosling, HuBMAP Data Portal User Interface, etc.) that the HIDIVE Lab has developed and maintains through a team of engineers and designers. These products are used by individual scientists, consortia, and companies all over the world and can serve as a framework to implement and disseminate the outcomes of our research.
Basic Qualifications
The minimum qualifications for this role are:
  • Doctoral degree in biomedical informatics, computer science, computational biology, data science or a related field.
  • Peer-reviewed publications in the top venues in your area of expertise.
  • Demonstrated ability to work collaboratively across scientific domains.

Additional Qualifications
If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees.
Special Instructions
Contact Information
George Bandek
695 Huntington Ave, STE 514
Boston, MA 02115
Contact Email
george_bandek@hms.harvard.edu
Salary Range
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-policies.
Minimum Number of References Required
1
Maximum Number of References Allowed
3
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