Senior Data Scientist in Image Analysis
Core
Designing and advancing scalable, automated computational pipelines and deep learning methods for spatial interactomics and image analysis to address complex biological questions.
Role type
Senior IC data scientist (image analysis & spatial omics)
Builds
Scalable, automated analysis pipelines and reproducible workflows for spatial interactomics data
Domain
Biotech / Spatial proteomics / Computational biology
Deliverable
production ML models | product features
Required skills
Deep learning model development, Python (production-quality code), image processing, clustering, spatial analysis, statistical analysis, data visualization, PyTorch, Scikit-learn
Preferred skills
Agentic workflows, AI agents, LLM-based systems, scientific programming best practices, GPU programming, performance optimization, high-throughput computing (HPC/cloud), tool development, UI/UX, containerization (Docker)
Technologies
PyTorch, Scikit-learn, Docker
Responsibilities
Design and maintain scalable automated analysis pipelines with robust quality control; Develop novel computational methods and apply deep learning to biological questions; Build internal tools and contribute to best practices in pipeline design and code quality; Collaborate with multidisciplinary teams to translate biological problems into computational solutions; Mentor junior team members
Seniority
Senior, hands-on IC
