Data Scientist III – Imaging & Omics Data Lead

@ Dynanet Corporation

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 Corporation started with a focus on IT infrastructure and operations, helping organizations enhance their networks and overcome the limitations of 1990s technology. Over nearly 30 years, Dynanet has grown into a trusted partner that delivers cutting-edge solutions driving lasting change in a rapidly changing digital landscape.

About the Role

This role supports a multi-institutional research initiative within the Computational Microscopy Imaging Lab (CMIL). The Data Scientist III – Imaging & Omics Data Lead is responsible for developing analytic workflows for extracting features from histology images and spatial molecular assays, ensuring reproducible integration into AI-enabled research pipelines.

Roles & Responsibilities

• Imaging and Omics Pipeline Development (35%): Design and implement data pipelines for histopathology and spatial omics sources using Python-based libraries.
• Feature Extraction and Model Input Generation (25%): Extract meaningful features using deep learning and statistical approaches; generate structured data for AI/ML models.
• Data Harmonization and Quality Assurance (20%): Coordinate with institutional collaborators to harmonize formats and conduct QC reviews.
• Documentation and Cross-Team Collaboration (15%): Maintain thorough documentation and actively participate in team meetings.
• Mentorship and Innovation Support (5%): Provide guidance to junior analysts and recommend new analytic tools.
• Technical Reporting and Communication (5%): Contribute to manuscripts, presentations, and visualization tasks for stakeholder updates.
• Tool Evaluation and Pipeline Optimization (5%): Investigate and recommend emerging analytic tools to enhance pipeline performance.

Dynanet Team Requirements and Expectations

Strong written and verbal communication, excellent organizational skills, and the ability to balance multiple priorities in a fast-paced environment. Candidates must be collaborative, detail-oriented, possess excellent judgment, and demonstrate effective problem-solving skills.

Education/Experience Requirements

• Master’s degree in bioinformatics, biomedical engineering, computer science, data science or related field and three years of experience; or a doctoral degree with 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.
• 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 and Development Programs

Key skills/competency

• Python
• Image Processing
• Deep Learning
• Omics Data
• Data Pipelines
• Quality Assurance
• Reproducibility
• Documentation
• Collaboration
• Mentorship