Data Scientist III Imaging & Omics Data Lead

Full-time

Description

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%

Data Harmonization and Quality Assurance – 20%

Documentation and Cross-Team Collaboration – 15%

Mentorship and Innovation Support – 5%

MARGINAL FUNCTIONS OF THE JOB AND THE PERCENTAGE OF TIME SPENT ON EACH FUNCTION

Technical Reporting and Communication – 5%

Tool Evaluation and Pipeline Optimization – 5%

Dynanet Team Requirements and Expectations :

Education / Experience Requirements :

Employee Benefits Overview :