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University of North Carolina at Chapel Hill seeks a Senior Research Software Engineer to support neuroimaging data preprocessing and analysis. The role requires implementing data cleaning, training teams in Python-based workflows, and collaborating on multi-site projects.
The position emphasizes scalable, reproducible pipelines for MRI, MRS, and PET datasets, with responsibilities spanning software architecture and visualization tools for complex findings.
A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.
One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.
University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time employees a comprehensive benefits package, paid leave, and a variety of health, life and retirement plans and additional programs that support a healthy work/life balance.
Our mission is to improve the health and well-being of North Carolinians and others whom we serve. We accomplish this by providing leadership and excellence in the interrelated areas of patient care, education and research.
Patient care: We promote health and provide superb clinical care while maintaining our strong tradition of reaching underserved populations and reducing health disparities across North Carolina and beyond.
Education: We prepare tomorrow's healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce.
Research: We develop and support a rich array of outstanding health sciences research programs, centers and resources. We provide infrastructure and opportunities for collaboration among disciplines throughout and beyond our university to support outstanding research. We foster programs in the areas of basic, translational, mechanistic and population research.
The Senior Research Software Engineer will support research imaging data preprocessing, image processing, implement data cleaning, train research team on image analysis using Python, FSL, SPM, Freedurfer, and other platforms. The incumbent will further support the software and hardware environments for successful implementation of the planned image analyses, collaborate with other national labs to align our site capacity with multi-site projects of which we are a part.
The Senior Research Software Engineer will serve as a highly specialized technical leader responsible for architecting, developing, and optimizing advanced computational systems that support large-scale neuroimaging research. This position plays a critical role in enabling cutting‑edge scientific discovery through the design and implementation of scalable, reproducible data pipelines and analytical frameworks for complex MRI, MRS, PET datasets. Operating at the intersection of neuroscience, data science, and software engineering, this role drives innovation in neuroinformatics infrastructure, including the integration of data management platforms, high‑performance computing environments, and advanced statistical methodologies. They will collaborate closely with faculty investigators, clinicians, and interdisciplinary research teams to translate complex research questions into robust computational solutions and actionable scientific insights.
Key contributions include leading the development of automated processing pipelines, advancing methodological approaches in neuroimaging analytics, and creating sophisticated visualization tools that effectively communicate complex findings. The role requires deep domain expertise in neuroanatomy, scientific programming, and neuroimaging ecosystems, as well as a strong commitment to reproducibility.
Master's or Bachelor's and 0-2 years' experience; or will accept a combination of related education and experience in substitution.
Not Applicable.
Not Applicable.
The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.