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Neuroimaging Postdoc Jobs in Rhode Island (NOW HIRING)

Neuroimaging Postdoc information

What is the difference between Neuroimaging Postdoc vs Neuroimaging Research Scientist?

AspectNeuroimaging PostdocNeuroimaging Research Scientist
CredentialsPhD in neuroscience, psychology, or related fieldMaster's or PhD, often with postdoctoral experience
Work EnvironmentAcademic labs, universities, research institutionsResearch labs, industry, or academic settings
Primary FocusConducting independent research, training, publishingLeading research projects, applying findings, supervising
Typical DurationUsually 1-3 yearsVaries, often longer-term or permanent roles

While both roles involve neuroimaging techniques and research, a Neuroimaging Postdoc primarily focuses on conducting independent research and gaining experience, often in academic settings. In contrast, a Neuroimaging Research Scientist typically leads projects, applies research findings, and may have more responsibilities in supervising or managing research activities.

What is a neuroimaging postdoc?

Neuroimaging Postdocs are researchers who have completed their PhD and are engaged in advanced training and research using imaging techniques to study the brain and nervous system. Their work often involves using tools such as MRI, fMRI, PET, or EEG to investigate brain structure and function, and may focus on topics like cognition, neurological disorders, or brain development. They typically work in academic or medical research settings, collaborating with multidisciplinary teams to analyze data and publish scientific findings. The position allows them to further develop their expertise and prepare for independent research careers in neuroscience or related fields.

What types of collaborative projects can a neuroimaging postdoc expect to be involved in?

As a Neuroimaging Postdoc, you will frequently collaborate with multidisciplinary teams that may include neuroscientists, radiologists, psychologists, and computational scientists. These collaborations often span projects involving advanced data analysis, development of new imaging protocols, or integrating neuroimaging with behavioral or genetic data. Regular meetings, joint grant applications, and co-authorship on publications are common, providing valuable experience in teamwork and expanding your professional network. This collaborative environment helps you develop both technical and interpersonal skills essential for advancing in academia or industry.

What are the key skills and qualifications needed to thrive as a neuroimaging postdoc, and why are they important?

To thrive as a Neuroimaging Postdoc, you need a strong background in neuroscience, advanced statistical analysis, and a PhD in a related field. Expertise with neuroimaging software (such as SPM, FSL, or AFNI), programming languages like Python or MATLAB, and experience handling large datasets are typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for collaborating in multidisciplinary research teams. These skills ensure rigorous data analysis, meaningful scientific contributions, and successful project outcomes in a competitive research environment.

What cities in Rhode Island are hiring for Neuroimaging Postdoc jobs?

Cities in Rhode Island with the most Neuroimaging Postdoc job openings:

Infographic showing various Neuroimaging Postdoc job openings in Rhode Island as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

Postdoctoral Research Associate in Biostatistics - PH 352

Brown University

Providence, RI • On-site

Full-time

Re-posted 8 hours ago


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Job description

Description
The Department of Biostatistics at Brown University is seeking a highly motivated individual for a postdoctoral research associate position interested in developing statistical methods for modeling medical imaging data. The position will include opportunities to collaborate with clinicians and researchers studying neurological disorders, develop methods for longitudinally collected positron emission tomography and magnetic resonance imaging data among other imaging modalities, machine learning methods for prediction, treatment effect estimation, and contribute to understanding brain biomarkers of Alzheimer's disease and their role in treatment effect estimation. The postdoctoral associate will be primarily mentored by Dr. Ani Eloyan with opportunities for collaborating with other faculty members in the Brown University Department of Biostatistics and the Carney Institute for Brain Science. The position is for 1 year, with the potential to extend to two.
Training Environment and Career Development
The postdoctoral associate will receive mentorship from Dr. Eloyan and collaborating faculty and will be encouraged to:
  • Publish first-author and collaborative manuscripts in high-impact statistical and clinical peer-reviewed journals
  • Advance their training in modeling brain imaging data, treatment effect estimation, and high-dimensional data modeling
  • Develop skills for independent research in biostatistics and its applications in imaging
  • Present research based on their work at scientific conferences

Responsibilities
The successful candidate will develop methods for modeling brain imaging data for evaluation of treatment effects in Alzheimer's Disease including manifold learning, topological data analysis, and dimension reduction techniques for biomarker estimation and causal inference methods for treatment effect evaluation. The models will then be implemented by the candidate to model longitudinally collected imaging data in large observational studies such as the Alzheimer's disease neuroimaging initiative and the longitudinal early-onset Alzheimer's disease study. Specific responsibilities include: developing statistical models, software implementation, writing and publishing papers in peer-reviewed journals, and contributing to collaborative projects.
Appointment Details
The initial appointment is for 1 year, with potential renewal contingent upon performance and funding availability. Salary is competitive and depends on research experience.
Visas
For this position, Brown offers only the J-1 visa classification to scholars who need immigration sponsorship in order to enter the U.S. and commence lawful employment under the terms of their appointment.
Qualifications
Qualifications include a PhD degree or equivalent in biostatistics, statistics or related quantitative field with considerable knowledge and experience using the R software. Candidates with experience in dimension reduction, deep learning, machine learning, modeling neuroimaging data are especially encouraged to apply. Excellent written and communication skills are required.
Application Instructions
To apply, please submit a cover letter including your relevant research experience and the date when you will be available to begin, CV, and contact information of two reference letter writers via Interfolio. Applicants must have completed all PhD requirements prior to starting work. Applications will be reviewed until the position is filled. Applications from women and minority candidates are encouraged. Candidates should address how they would contribute to the research and/or teaching missions of our diverse and inclusive university community.

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