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University of Massachusetts

Biomedical Data Scientist (PhD)

UMass Lowell, United States

Location
UMass Lowell, United States
Work
Not stated
Employment
Full-time
Level
Not stated
Function
Data & AI
Pay
From $72.2K a year (read from the ad)
Posted
7 weeks ago

About the role

General Summary of Position:

We are a highly collaborative group at the Center of Biomedical and Health Research in Data Sciences (CHORDS) at University of Massachusetts Lowell seeking a biomedical data scientist (PhD level). In this position, you will use neural networks, SQL, Python, R and work with diverse cutting-edge health records data and genomics data.

Minimum Qualifications (Required):

Education:

  • PhD in a computational or quantitative field

Experience:

  • Experience with both the computational and mathematical side of machine learning models.

Skills:

  • Communication, critical thinking.
  • Able to translate research questions into computational representations of the ideas.

Preferred Qualifications:

  • Understanding of high school biology, interest in learning basics of biology

Special Instructions to Applicants:

Only current UML Employees within the Grants & Contracts (MTA/GRACE) bargaining unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period.

This position is full-time, benefited and in the Grants & Contracts union in grade P18. Salary anticipated up to $85,000 with formal range minimum: $72,170 with 25th quartile: $82,093 and midpoint of $92,017. This position is contingent upon funding.

Review of applications will begin immediately and continue until the position is filled; however, the posting may close when an adequate number of qualified applications is received.

Please include a resume with your application. Names and contact information of three references will be required during the application process. Submission of a cover letter is optional.

Source

Posted by University of Massachusetts on their own hiring page, careers.pageuppeople.com. OptiTalent shows it as published, read 07 Nov 2026 04:48 UTC; the original is the reference.

View the original ad ↗

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