Postdoctoral Fellow in Biostatistics

SF02068

Postdoctoral Fellow in Biostatistics

109804

1.00

Exempt

Professional Staff

Non-Union Non-Classified Staff

Grade Level: 99

Anticipated Hiring Salary Range: $62,232 - $73,000

Calendar Year, Full-time, Limited

Pharmacy Practice and Clinical Research

Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu)

Kingston

Yes

This is a full time calendar year position, limited to 06/30/2027 with anticipated renewal.
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The search will remain open until the position has been filled. First consideration will be given to applications received by October 15, 2025. Applications received after October 15, 2025 may be reviewed depending on search progress and needs but are not guaranteed full consideration.
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About URI:

The University of Rhode Island enrolls approximately 17,000 students across its graduate and undergraduate programs and is the State’s flagship public research university, as well as the land grant and sea grant university, for the state of Rhode Island. The main campus is located in the historic village of Kingston, and the Bay Campus is located in Narragansett. Both campuses are near major beaches in a beautiful coastal community. URI is just 30 minutes from Providence, RI and within easy reach of Newport, Boston, and New York City.
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THE OPPORTUNITY FOR A HYBRID WORK SCHEDULE IS POSSIBLE AFTER SIX MONTHS.
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POSITION SUMMARY:

The Networks and Causal Inference for Public Health and Education Research (NCIPHER) lab at the College of Pharmacy at the University of Rhode Island invites applications for a postdoctoral fellow to conduct innovative research to develop causal inference methodology combined in novel ways with network science and epidemiological modeling to solve critical challenges at the nexus of HIV and substance use for network-based studies of HIV prevention. The one-year position is funded by a five-year grant from the National Institute on Drug Abuse that supports methodological and collaborative research. The successful candidate will work under the mentorship of Doctor of Pharmacy and Doctor of Statistics / Principal Investigators and collaborate with experts in a variety of fields, including Medicine, Epidemiology, Statistics, and Public Health.

NCIPHER lab focuses on applying and synthesizing causal inference and network science to address some of the most pressing public health and educational challenges, such as harm reduction measures among people who use drugs, increasing pre-exposure prophylaxis uptake among men susceptible to HIV, and improving learning in undergraduate statistics education. In these contexts, there are meaningful connections between patients, students, and participants, and this must be considered when evaluating interventions with possible spillover. The research lab provides a collaborative, supportive environment for graduate students, postdoctoral fellows, and faculty through weekly team meetings, journal club, statistical program code review, presentation opportunities at URI and beyond, and one-on-one faculty mentoring for research projects. The lab has supported the studies and research of eight graduate students and two postdoctoral fellows over the past six years, and these mentees have continued to internships and employment at leading academic institutions and pharmaceutical companies.

For more information on the College of Pharmacy at The University of Rhode Island: https://web.uri.edu/pharmacy/.

For more information on the Health Outcomes Specialization at The University of Rhode Island:
https://web.uri.edu/pharmacy/academics/graduate/ppe/

For more information on the Department of Computer Science and Statistics at The University of Rhode Island: https://web.uri.edu/cs/

For more information on the Networks and Causal Inference for Public Health and Education Research (NCIPHER) lab at the College of Pharmacy: https://web.uri.edu/ncipher/

KEY RESPONSIBILITIES:

Conduct innovative research to develop causal inference methodology combined in novel ways with network science and epidemiological modeling to solve critical challenges at the nexus of HIV and substance use for network-based studies of HIV prevention.

OTHER DUTIES AND RESPONSIBILITIES:

Perform other duties as assigned.

LICENSES, TOOLS, AND EQUIPMENT:

R, SAS, Python.

REQUIRED QUALIFICATIONS:

1. Doctoral degree in biostatistics, statistics, mathematics, computer science, or a related field.

2. Experience in public health.

3. Familiarity with performing innovative causal inference and network science research to allow cutting-edge solutions for important applied problems in HIV prevention studies.

4. Strong statistical programming skills are required (R, SAS, Python).

5. Strong verbal and interpersonal communication skills.

6. Proficiency in written communication skills.

7. Ability to work with diverse groups/populations.

PREFERRED QUALIFICATIONS:

1. Experience in epidemiological modeling approaches.

2. Experience in causal inference, specifically interference (spillover or dissemination), network science, HIV/AIDS and substance use treatment and prevention.

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The University of Rhode Island is an equal opportunity employer. It is the policy of the University of Rhode Island to provide reasonable accommodation when requested by a qualified applicant or employee with a disability.

This position is not substantially exposed to adverse environmental conditions.

09/24/2025