Research Software Developer

University of North Carolina- Chapel Hill • United States, United States • 5d ago

Employment Type: Permanent Staff (EHRA NF)

Vacancy ID: NF0010050

Salary Range: $100,000 - $110,000

Position Summary/Description:

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 , Freesurfer, 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.

Education and Experience:

Development of automated pipelines for large-scale data processing deployable on cluster such as SLURM

Experience working with DICOM data and imaging data anonymization workflows

Data visualization for scientific analysis and reporting

Use of version control systems (e.g., Git) and collaborative software development practices

Experience working in Linux or research computing environments

Essential Skills:

Significant experience developing scientific software and computational workflows

Programming in Python, R, or other scientific computing environments

Experience with neuroimaging tools such as FreeSurfer, FSL , AFNI , or related frameworks

Experience working with neuroimaging or other large biomedical datasets

Familiarity with neuroinformatics platforms, including research data systems such as XNAT or REDCap

Experience collaborating with interdisciplinary research teams

Demonstrated contributions to research software, analysis tools, or data processing pipelines

Demonstrated ability to adhere to HIPAA

Ability to produce scientific reports, memos, and publications for peer-reviewed journals and grant writing and submission

AA/EEO Statement:

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.

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