| Classification Title: |
Data Scientist IV
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| Classification Minimum Requirements: |
A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and seven years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience.
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| Job Description: |
The Computational Microscopy Imaging Lab (CMIL), within the Department of Medicine, is seeking a highly experienced and strategically minded Data Scientist IV to support integration of biomedical imaging, spatial omics, and clinical data into scalable research infrastructure. This senior-level role will provide advanced workflow development, software engineering, and analytic support to NIH-funded research initiatives. The successful candidate will lead efforts to harmonize complex data sources, apply advanced statistical methods, and develop reproducible computational pipelines that support translational research. This position also includes mentoring junior data analysts, student researchers, and technical interns. The Data Scientist IV will report to Dr. Pinaki Sarder, Principal Investigator.
Essential Functions;
Workflow Engineering and Data Integration
- Architect and lead the development of scalable pipelines for processing histology, spatial omics, and clinical datasets
- Ensure analytic workflows are modular, reproducible, and version-controlled using GitHub
- Oversee optimization of pipeline execution on high-performance computing platforms such as HiPerGator
Statistical and Computational Analysis
- Apply and adapt statistical modeling techniques to multi-modal biomedical datasets
- Lead efforts in feature extraction and harmonization for machine learning integration
- Conduct rigorous data validation and quality assurance processes across diverse data types
Software Development and Infrastructure Support
- Design and maintain advanced tools, APIs, and visualization interfaces that support research scalability
- Implement best practices in software architecture, testing, and secure deployment
- Collaborate with institutional IT and external partners to ensure technical integration and compliance
Research Collaboration and Communication
- Serve as a technical liaison to translate scientific objectives into executable data strategies
- Contribute to high-level research outputs including manuscripts, reports, and grant applications
- Represent the lab in institutional initiatives and cross-institutional collaborations
Strategic Innovation and Mentorship
- Guide adoption of innovative tools and workflows aligned with lab research goals
- Provide structured mentorship to junior staff, graduate students, and interns
- Help shape long-term strategic planning for data standards and technical capabilities
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| Expected Salary: |
$98,000 - $132,900 annually |
| Required Qualifications: |
A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and seven years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience.
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| Preferred: |
Expertise with spatial omics platforms (e.g., Visium, CODEX), digital pathology, and histological imaging
Proficiency in Python, GitHub, and high-performance computing systems (e.g., HiPerGator)
Experience with secure software design, MLOps practices, and containerization tools (Docker, Singularity)
Familiarity with statistical modeling, feature engineering, and data visualization
Strong interpersonal skills and experience collaborating in interdisciplinary research settings
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| Special Instructions to Applicants: |
In order to be considered, you must upload your cover letter and resume.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
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| Health Assessment Required: |
No |