Data Scientist III – Imaging & Omics Data Lead
@ Dynanet Corporation

Gainesville, Florida, United States
On Site
Posted 3 days ago

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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.

📝 Interview Preparation Advice

Technical Preparation

Review Python and imaging libraries.
Practice data pipeline implementations.
Study omics data integration techniques.
Test image segmentation and normalization methods.

Behavioral Questions

Describe teamwork in research projects.
Explain handling challenging collaborations.
Discuss time management in complex projects.
Share problem-solving examples in data science.

Frequently Asked Questions