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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 the limitations of 1990s technology. From strengthening communication channels to introducing innovative ways to collaborate and share information, Dynanet played a crucial role in shaping the early stages of digital transformation. The company’s efforts helped organizations build the very fabric of connectivity that now powers our modern world. Over the last three decades, Dynanet has grown into a trusted partner for organizations looking to innovate boldly and transform seamlessly.
While technology continues to evolve and unlock new opportunities, for nearly 30 years, Dynanet remains committed to delivering cutting-edge solutions that drive lasting change for its customers. Through agility, foresight, and an unwavering dedication to excellence, Dynanet continues to empower organizations to thrive in a rapidly changing digital landscape. Our story is more than just a story of technology – it’s a story of vision, growth, and transformation that has shaped the past and continues to pave the way for the future.
About the Role:
This position supports a multi-institutional research initiative within the Computational Microscopy Imaging Lab (CMIL) focused on integrating digital pathology, spatial omics, and clinical datasets into an AI-enabled modeling platform. The Data Scientist III – Imaging & Omics Lead is responsible for developing analytic workflows that extract features from histology images and spatial molecular assays. This includes leading data processing, quality control, and harmonization efforts for tissue and omics data streams, and ensuring their reproducible integration into research pipelines.
Requirements
Roles & Responsibilities:
ESSENTIAL FUNCTIONS OF THE JOB AND THE PERCENTAGE OF TIME SPENT ON EACH FUNCTION:
Imaging and Omics Pipeline Development – 35%
- Design and implement data pipelines for histopathology and spatial omics sources (e.g., spatial transcriptomics, CODEX).
- Apply image processing, segmentation, and normalization techniques using Python-based libraries.
- Ensure pipelines are reproducible and version-controlled to meet analytic standards.
Feature Extraction and Model Input Generation – 25%
- Use deep learning and statistical approaches to extract meaningful features from tissue images and molecular assays.
- Generate structured representations suitable for integration with AI/ML models.
- Collaborate with model developers to align feature formats with input requirements.
Data Harmonization and Quality Assurance – 20%
- Coordinate with institutional collaborators to harmonize data formats, metadata, and preprocessing standards.
- Conduct QC reviews, troubleshoot data artifacts, and document all analytic transformations.
- Ensure compatibility between imaging/omics data and other project modalities.
Documentation and Cross-Team Collaboration – 15%
- Maintain technical documentation for workflows and codebases.
- Participate in project meetings, share updates, and contribute to team deliverables.
- Support communication of imaging and omics data workflows to non-technical collaborators.
Mentorship and Innovation Support – 5%
- Provide informal guidance to student researchers or junior analysts.
- Recommend new tools or analytic methods to improve pipeline performance
MARGINAL FUNCTIONS OF THE JOB AND THE PERCENTAGE OF TIME SPENT ON EACH FUNCTION
Technical Reporting and Communication – 5%
- Contribute to documentation for manuscripts, presentations, and project deliverables by summarizing imaging/omics pipeline components.
- Assist with visualization or slide preparation for updates to stakeholders or funders.
Tool Evaluation and Pipeline Optimization – 5%
- Investigate emerging analytic tools or frameworks relevant to image and omics data.
- Test and recommend integration of tools that enhance processing speed, reproducibility, or analytic depth.
Dynanet Team Requirements and Expectations:
- Possess Strong written and verbal communication skills.
- Highly organized with an ability to prioritize, balance, and effectively advance multiple competing priorities in a high-volume, fast-paced environment.
- Ability to interact in a professional and collaborative manner with fellow Dynanet Teammates and the clients, and business partners that we work with.
- Ability and desire to challenge and educate yourself to support and advance IT services delivery in the Federal agencies we serve.
- Excellent judgment and creative problem-solving skills.
- Respond to team member and client requests via email, MS teams, or other communication means during core business hours.
- Active listening skills to understand clients' needs, and collaboration skills to work with other developers and designers.
Education/Experience Requirements:
- Master’s degree in bioinformatics, biomedical engineering, computer science, data science, or a related field and three years of relevant experience; or a doctoral degree and one year of experience.
- Experience with digital pathology or spatial omics data (e.g., Visium, CODEX, MIBI).
- Proficiency in Python and image analysis libraries (e.g., OpenCV, scikit-image, MONAI).
- Familiarity with ML/AI workflows and model input preparation.
- Experience working in collaborative, interdisciplinary research environments.
- Strong documentation and data provenance tracking skills.
Employee Benefits Overview:
- Industry Competitive Compensation
- Medical and Dental Insurance
- Paid Time Off/Holidays
- 401(k) Retirement Plans with Matching
- Paid Training
- Employee Referral Program
- Employee Development Program
