Dynanet Corporation is seeking a Data Scientist III – Imaging & Omics Data Lead to develop analytic workflows that extract features from histology images and spatial molecular assays for an AI-enabled modeling platform within the Computational Microscopy Imaging Lab (CMIL). This role involves integrating digital pathology, spatial omics, and clinical datasets.
Requirements
- 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.
- Apply image processing, segmentation, and normalization techniques using Python-based libraries.
- Use deep learning and statistical approaches to extract meaningful features from tissue images and molecular assays.
Responsibilities
- 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.
- 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.
- Coordinate with institutional collaborators to harmonize data formats, metadata, and preprocessing standards.
- Conduct QC reviews, troubleshoot data artifacts, and document all analytic transformations.
Other
- 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.
- 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.
- Excellent judgment and creative problem-solving skills.
