Data Scientist III – Imaging & Omics Data Lead @ Dynanet Corporation
Your Application Journey
Email Hiring Manager
Job Details
Position Details
Job Title: Data Scientist III – Imaging & Omics Data Lead Job Type: Full-time Location: Gainesville, Florida - Onsite Revised: 8/18/2025
Dynanet Corporation Overview
Dynanet started with a focus on IT infrastructure and operations, helping organizations enhance their networks and overcome 1990s technology limitations. Over nearly 30 years, Dynanet has evolved into a trusted partner for innovative digital transformation and connectivity solutions.
About the Role
This role supports a multi-institutional research initiative within the Computational Microscopy Imaging Lab (CMIL). The focus is on integrating digital pathology, spatial omics, and clinical datasets into an AI-enabled modeling platform.
Roles & Responsibilities
- Imaging and Omics Pipeline Development (35%): Design and implement data pipelines for histopathology and spatial omics sources using Python libraries.
- Feature Extraction and Model Input Generation (25%): Apply deep learning and statistical approaches to extract features and generate structured inputs for AI/ML models.
- Data Harmonization and Quality Assurance (20%): Coordinate with collaborators to harmonize formats and conduct quality reviews.
- Documentation and Cross-Team Collaboration (15%): Maintain technical documentation and communicate workflow updates to stakeholders.
- Mentorship and Innovation Support (5%): Provide guidance to junior analysts and recommend new analytic tools.
- Technical Reporting and Tool Evaluation (5%): Summarize pipeline components for manuscripts and optimize processing tools.
Education & Experience Requirements
Master’s degree in bioinformatics, biomedical engineering, computer science, data science, or a related field with three years of relevant experience; or a doctoral degree with one year of experience. Must have experience with digital pathology or spatial omics data, proficiency in Python and image analysis libraries, and familiarity with ML/AI workflows.
Employee Benefits
- Industry Competitive Compensation
- Medical and Dental Insurance
- Paid Time Off/Holidays
- 401(k) Retirement Plans with Matching
- Paid Training and Employee Development Programs
How to Get Hired at Dynanet Corporation
🎯 Tips for Getting Hired
- Tailor your resume: Highlight data science and imaging expertise.
- Customize your cover letter: Emphasize omics and pipeline skills.
- Prepare technical solutions: Showcase Python, OpenCV, and MONAI experience.
- Research Dynanet's culture: Study company history and recent projects.