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Temporary Machine Learning Postdoc Jobs in Massachusetts

POSTDOCTORAL ASSOCIATE, Mechanical Engineering, will work under the direction of Prof. Sherrie Wang ... Will develop and implement machine learning models for local weather forecasting and uncertainty ...

... machine learning models that combine visual images and thermal images to detect infection more ... This is a temporary 20 hour per week position. FLSA STATUS United States of America (Non-Exempt ...

The position also involves the integration of machine learning and AI-assisted approaches into materials modeling workflows. The postdoctoral researcher is expected to work independently, develop ...

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What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Postdoc, and why are they important?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a Temporary Machine Learning Postdoc expect to engage in during their appointment?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a Temporary Machine Learning Postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

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 Temporary Machine Learning Postdoc jobs in Massachusetts? For Temporary Machine Learning Postdoc jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Massachusetts look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in Massachusetts are:
What cities in Massachusetts are hiring for Temporary Machine Learning Postdoc jobs? Cities in Massachusetts with the most Temporary Machine Learning Postdoc job openings:
Infographic showing various Temporary Machine Learning Postdoc job openings in Massachusetts as of June 2026, with employment types broken down into 52% Full Time, 22% Part Time, and 26% Temporary. Highlights an 95% In-person, and 5% Remote job distribution.
Postdoctoral Fellow in Organismic and Evolutionary Biology

Postdoctoral Fellow in Organismic and Evolutionary Biology

Harvard University

Cambridge, MA • On-site

$67K - $80K/yr

Full-time

Posted 10 days ago


Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

131st of 535 rated colleges and universities


Job description

Position
Details
Title
Postdoctoral Fellow in Organismic and Evolutionary Biology
School
Faculty of Arts and Sciences
Department/Area
Organismic and Evolutionary Biology
Position Description
We seek a postdoctoral research associate to work with Professor Michael Desai at Harvard University on projects involving inferring sequence-function landscapes, using a combination of empirical data and ML methods (e.g. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position. The postdoctoral researcher will play a leading role in this research, including methods development, data analysis and research dissemination, working closely with the project PI (Dr. Desai).
The appointment is for one year with a possibility of renewal based on performance.
Basic Qualifications
Candidates must have a PhD in physics, biology, or a related field by the time of appointment. The ideal candidate will also have demonstrated experience in machine learning and biological data analysis and a strong track record of scientific publications and conference presentations in related disciples.
Additional Qualifications
Special Instructions
Candidates should upload the following materials:
1. A curriculum vitae
2. A 2-3 page cover letter outlining their research interests and experience
3. Names and contact information of three references.
Review of applications will begin on April 1st 2026, with an expected start date of May 1st 2026.
Contact Information
Professor Michael Desai
Contact Email
mdesai@oeb.harvard.edu
Salary Range
$67,600-$80,000
Minimum Number of References Required
3
Maximum Number of References Allowed
3
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