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JOB NO: 537074 WORK TYPE: Staff Full-Time LOCATION: Main Campus (Gainesville, FL) CATEGORIES: Computer Science, Grant or Research Administration DEPARTMENT: 29051308 - MD-MED QUANTITATIVE HEALTH CLASSIFICATION TITLE: Research Software Engineer IV CLASSIFICATION MINIMUM REQUIREMENTS: A Bachelor’s Degree in computer or physical science, statistics, bioinformatics, analytics, or similar field and seven years of experience; Master’s Degree in computer or physical science, software engineering, statistics, bioinformatics, analytics, or similar field and five years of experience; Doctoral Degree in computer or physical science, statistics, bioinformatics, analytics, or similar field and three years of experience. JOB DESCRIPTION: The Department of Medicine, Division of Nephrology Quantitative Health is seeking a full time Research Software Engineer IV. This position supports a federally funded, multi-institutional research initiative housed within the Computational Microscopy Imaging Lab (CMIL) focused on the integration of electronic health records (EHR), histology, and imaging data for predictive modeling in biomedical research. The Research Software Engineer IV will lead the development of secure, scalable, and reproducible machine learning (ML) pipelines and software components that support AI tool deployment in a research setting. This role requires collaboration with data scientists, clinical researchers, and software developers to ensure modeling systems are maintainable, interoperable, and compliant with institutional and federal standards. The position reports to Dr. Pinaki Sarder, Principal Investigator. Essential Functions; AI/ML Pipeline Design and Implementation – • Lead the development of scalable and reproducible machine learning pipelines to support training, validation, and deployment of AI models using multimodal biomedical data. • Design workflows that enable integration of EHR, imaging, and molecular datasets. • Apply best practices in modular software design to ensure code maintainability and system extensibility. Secure Software Architecture and Deployment – • Architect secure infrastructure for deploying ML models using containerization (e.g., Docker, Kubernetes) and compatible with institutional computing environments. • Ensure all software components meet cybersecurity and performance standards for research systems. • Implement APIs and services to support integration of models into front-end tools or external systems. Version Control, Documentation, and Testing – • Manage source control (e.g., Git), maintain continuous integration workflows, and implement automated testing pipelines. • Create detailed technical documentation, including system architecture diagrams, model input/output specifications, and usage instructions. • Contribute to reproducibility by using and maintaining MLOps tools (e.g., MLflow, Weights & Biases). Cross-Functional Collaboration and Requirements Analysis – • Collaborate with investigators, clinical researchers, and software engineers to define technical requirements and align model development with research objectives. • Translate clinical and research needs into engineering solutions through iterative development and testing. • Participate in team meetings, planning discussions, and user feedback sessions. Mentorship and Optimization Support – • Provide informal guidance to junior developers, students, or collaborators on ML coding practices and system design. • Lead efforts to improve model performance, interpretability, and reliability through benchmarking and systematic evaluation. EXPECTED SALARY: $82,000 - $98,000 Annually REQUIRED QUALIFICATIONS: A Bachelor’s Degree in computer or physical science, statistics, bioinformatics, analytics, or similar field and seven years of experience; Master’s Degree in computer or physical science, software engineering, statistics, bioinformatics, analytics, or similar field and five years of experience; Doctoral Degree in computer or physical science, statistics, bioinformatics, analytics, or similar field and three years of experience. PREFERRED: Experience building and maintaining ML/AI pipelines for multimodal biomedical data Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Familiarity with MLOps tools (e.g., MLflow, Weights & Biases) Experience with Docker, Kubernetes, and cloud deployment Knowledge of secure software design and research data governance Experience working in interdisciplinary research teams Strong technical documentation, version control, and testing skills Ability to communicate technical decisions clearly and collaborate across functions Additional technical certifications (e.g., AWS, Security+, etc.) may be encouraged but not required. SPECIAL INSTRUCTIONS TO APPLICANTS: In order to be considered, you must upload your resume. Application must be submitted by 11:55 p.m. (ET) of the posting end date. HEALTH ASSESSMENT REQUIRED: No ADVERTISED: 11 Sep 2025 Eastern Daylight Time APPLICATIONS CLOSE: 18 Sep 2025 Eastern Daylight Time job perk: Posted At: 2 days ago, job perk: Salary: 82K–98K a year, job perk: Schedule Type: Full-time