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.

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: