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Temporary Machine Learning Postdoc Jobs in Massachusetts

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 ...

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Temporary Machine Learning Postdoc information

What skills and qualifications are needed to thrive as a temporary machine learning postdoc?

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?

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 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:
Temporary Machine Learning Postdoc jobs near you

HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI)

Harvard University

Cambridge, MA • On-site

$54K - $73K/yr

Full-time

Re-posted 23 days ago

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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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