Software Engineer - Limited Tenure - Hybrid
About The Position
The Aging and Dementia Imaging Research (ADIR) Lab is an internationally recognized leader in imaging research focused on Alzheimer's disease and related dementias. The Research Platforms Unit provides the software engineering, data management, and computational infrastructure that enables these research efforts. We are seeking a Limited Tenure (LT) Software Engineer to develop, maintain, and support software systems that facilitate large-scale imaging research and data management. The successful candidate will work in a collaborative Linux-based development environment alongside physicians, PhD scientists, biostatisticians, medical physicists, imaging scientists, and software engineers. This position offers the opportunity to design and implement software solutions that support imaging research involving large, multi-institutional datasets while contributing to the development of robust, scalable, and maintainable research infrastructure. Unlike many software engineering positions, this role provides significant ownership of projects throughout the software development lifecycle. The successful candidate will work directly with research staff to understand requirements, design technical solutions, implement and validate software, deploy production applications, and provide long-term support and enhancements. Engineers are encouraged to identify opportunities for innovation and process improvement while helping shape the future direction of the laboratory's research software ecosystem.
Requirements
- Linux-based development environment experience
- Experience with large, multi-institutional datasets
- Experience with PostgreSQL and related technologies
- Experience developing and maintaining RESTful APIs and software services
- Experience with DICOM and other medical imaging standards
- Experience with Python, Bash, and MATLAB
- Experience with software testing, debugging, validation, documentation, and peer code reviews
- Experience with research databases, imaging repositories, computational environments, and associated software infrastructure
- Experience troubleshooting application, database, data integration, and workflow issues
- Experience preparing and maintaining technical documentation, software specifications, and user documentation
- Familiarity with automation, containerization, CI/CD, and AI-assisted development tools
Responsibilities
- Design, develop, maintain, and support software applications, scripts, and automated workflows for research data management, data extraction, quality control, and data analysis.
- Lead software projects through the full software development lifecycle, including requirements gathering, architecture and design, implementation, testing, deployment, documentation, and long-term maintenance.
- Develop and maintain repository systems and internal databases using PostgreSQL and related technologies to support imaging and research data management.
- Design, develop, and maintain RESTful APIs and software services for interacting with databases, imaging repositories, file systems, and external research platforms.
- Develop software to support the acquisition, validation, organization, and processing of research imaging data, including troubleshooting data transfer issues involving DICOM and other medical imaging standards.
- Create and maintain automated data processing, quality assurance, and deployment workflows to improve the efficiency, reproducibility, and reliability of research software.
- Collaborate closely with investigators and research staff to translate scientific and operational requirements into practical software solutions.
- Maintain, enhance, and test existing Python, Bash, and MATLAB code while developing new software components using established software engineering practices.
- Participate in software testing, debugging, validation, documentation, and peer code reviews to ensure software quality, reliability, security, and maintainability.
- Assist with the administration and support of research databases, imaging repositories, computational environments, and associated software infrastructure.
- Troubleshoot application, database, data integration, and workflow issues, identify root causes, and implement sustainable solutions.
- Prepare and maintain technical documentation, software specifications, and user documentation.
- Evaluate, recommend, and adopt emerging software engineering tools and technologies—including automation, containerization, CI/CD, and AI-assisted development tools—when appropriate to improve software quality, developer productivity, and research workflows.
Benefits
- Medical: Multiple plan options.
- Dental: Delta Dental or reimbursement account for flexible coverage.
- Vision: Affordable plan with national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package to secure your future.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
