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(Big Data) Postdoctoral Fellow
University of Massachusetts Medical School

Company Information: The Department of Quantitative Health Sciences (QHS), founded in 2009, at the University of Massachusetts Medical School (UMass Medical School) now has over 30 faculty members. QHS faculty are Principal Investigators on extramural grants totaling over $43 million. UMass Medical School holds a Clinical and Translation Science Award, and receives over $280 million in annual extramural funding. QHS is a key player of clinical and translational research, and conducts cutting edge work on projects related to Massachusetts’ role as a leader in national health care reform. The main campus of the UMass Medical School is located at the city of Worcester that is adjacent to the greater Boston area. The city was recently recognized as one of the “10 most livable cities in the nation” by The campus is 35 miles from Boston and is within a region known for its concentration of high-technology, healthcare, biotechnology, and biomedical engineering research and industry.

Position Title: (Big Data) Postdoctoral Fellow

Duties and Responsibilities: The Department of Quantitative Health Sciences (QHS) at the University of Massachusetts Medical School is recruiting a postdoctoral fellow or research associate to conduct innovative research on one of the two areas (or both): (1) longitudinal data analysis and (2) analytics of healthcare big data using data mining techniques. Under the supervision of Dr. Bo Zhang and Dr. Jeroan Allison, candidates are expected to work on an interdisciplinary field of biostatistics, machine learning, health policy, and health services research, but with an emphasis on using innovative random-effects models and data mining techniques to analyze healthcare big data. QHS has access to several national and state-level medical big data sets that can provide unique opportunities to the candidates. Successful candidates will also be given opportunities, if needed, to collaborate with the clinicians to conduct research on clinical trials and translational science.

Position Qualifications: The candidate should have a doctoral degree in statistics, biostatistics, economics, computer science, biomedical informatics, or other related fields. Preference will be given to the candidates who have experiences in (1) complex random-effects models and/or (2) statistical learning and data mining. However, candidates that work in other areas are also encouraged to apply. Strong computational skills in SAS or Python evidenced by previous research experiences and publications are a plus. Candidates with postdoctoral academic experiences are particularly encouraged to apply the position.

Salary Range: Approximately $47,500 to $56,000 (NIH standard postdoc salary)

Benefits: Standard benefits provided by the university.


Application Information: Applicants should submit an all-in-one PDF file that includes curriculum vitae, research statement, (unofficial) PhD transcripts, and contact information for three references to . Please title the application email as “Big Data Postdoc Position”. Interested applicants may find out further details about QHS at . Position will remain open until filled. As an equal opportunity and affirmative action employer, the UMass Medical School recognizes the power of a diverse community and encourages applications from individuals with varied experiences, perspectives and backgrounds.

Contact Email:

Application Deadline: