Role Snapshot
Senior Research Software Engineer supporting large-scale neuroimaging research through design and implementation of scalable data pipelines and computational systems. This role drives innovation in neuroinformatics infrastructure and enables cutting-edge scientific discovery at the intersection of neuroscience, data science, and software engineering.
Key Responsibilities: Architect and optimize advanced computational systems for neuroimaging data preprocessing and analysis; develop automated processing pipelines for MRI, MRS, and PET datasets; train research teams on image analysis tools (Python, FSL, SPM, Freesurfer); support software/hardware environments and collaborate with national labs on multi-site projects.
Skills & Tools: Advanced proficiency in Python, neuroimaging software platforms (FSL, SPM, Freesurfer), high-performance computing, data pipeline architecture, and statistical methodologies. Strong expertise in neuroanatomy, scientific programming, neuroinformatics, visualization tools, and commitment to reproducible research practices.
Qualifications: Advanced degree (Master's or Ph.D.) in neuroscience, computer science, biomedical engineering, or related field with significant experience in neuroimaging research and software development. Demonstrated expertise in computational neuroimaging, research software engineering, and leadership in technical projects.
Compensation: $110K–$160K/yr (estimated)
Job 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.
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.