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Postdoctoral Research Associate - Epidemiology & Data Science

Apply now Job no: 518474
Position type: Staff Full Time
Benefit Status: Benefited-Union
Campus: UMass Lowell
Department: Computer Science
Salary: Salary commensurate with experience and grant
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General Summary of Position: 

We are seeking a highly motivated and skilled postdoctoral research associate to join our data science research team at the UMass BioNLP group:  The successful candidate will work on epidemiological and data science studies focused on understanding the distribution, social determinants, and outcomes of mental health, substance use, cardiovascular and Alzheimer’s disease conditions in populations, using large electronic health record databases.

Minimum Qualifications (Required):

  • A Ph.D. in epidemiology, biostatistics, computer science or a related field
  • Strong knowledge and experience in epidemiological or data science study design and statistical analyses or natural language processing and machine learning
  • Experience in analyzing large, complex data sets
  • Excellent written and verbal communication skills
  • Strong organizational and project management skills
  • Ability to work independently and as part of a team

Additional Considerations:

  • Experience in analyzing data using R, SAS or other statistical software
  • Experience in conducting population-based studies
  • Experience in the use of electronic health records (EHR) or other health care data sources
  • Experience in conducting epidemiological studies focused on mental health, substance use, cardiovascular or Alzheimer’s disease conditions

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.

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.

This position is contingent upon funding.  The initial appointment will be for approximately one-year with a possibility of renewal based on productivity, successful performance and the availability of funding.  

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


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