Overview
On Site
USD 82,000.00 - 98,000.00 per year
Full Time
Skills
Microscopy
Predictive Modelling
Modeling
Training
Software Architecture
Cyber Security
Documentation
Management
Git
Continuous Integration
Continuous Integration and Development
Workflow
Automated Testing
Systems Architecture
Requirements Analysis
Mentorship
Optimization
Systems Design
Benchmarking
Evaluation
Software Engineering
Science
Statistics
Bioinformatics
Analytics
Machine Learning (ML)
Artificial Intelligence
Biomedicine
Python
Deep Learning
PyTorch
TensorFlow
Machine Learning Operations (ML Ops)
Docker
Kubernetes
Cloud Computing
Software Design
Data Governance
Research
Technical Writing
Version Control
Testing
Collaboration
Amazon Web Services
Security+
SEP
Facebook
LinkedIn
Job Details
Research Software Engineer IV
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
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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
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.