We are looking for a Senior Data Scientist in image analysis to join Navinci and build scalable, automated pipelines for spatial interactomics. You will take strong ownership in designing and advancing computational methods, with a focus on creating robust, reproducible workflows that incorporate rigorous quality control and leverage deep learning to address complex biological questions. The work will support both internal R&D and external collaborations.
You will be part of a highly skilled, and growing team, playing a key role in advancing pipeline development and computational innovation. The role requires both independent problem-solving and effective collaboration in a dynamic environment, helping position Navinci at the forefront of spatial biology and emerging AI technologies.
Key Responsibilities
Design, develop, deploy and maintain scalable, automated analysis pipelines and reproducible workflows with robust quality control for spatial interactomics data.
Work effectively in a dynamic environment with adaptability, independence, and strong collaboration, while staying current with advances in spatial omics and AI (e.g., agentic/LLM-based workflows).
Qualifications
PhD in Computational Biology, Bioinformatics, Computer Vision, or a related field (or equivalent industry experience).
Demonstrated ability to design and develop robust, reproducible computational methods and pipelines, including components such as image processing, clustering, spatial analysis, statistical analysis and data visualization.
Proven, hands-on experience in developing and applying deep learning models, using machine learning frameworks (e.g., PyTorch, Scikit-learn).
Experience applying best practices in scientific programming and/or software engineering (e.g., testing, debugging, version control, CI/CD).
Applications are reviewed on an ongoing basis and interviews will be conducted continuously throughout the recruitment process.
