Senior Data Scientist in Image Analysis

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.

• Develop novel computational methods and apply deep learning to address complex biological questions and enable new analysis capabilities.

• Build internal tools and contribute to best practices in pipeline design, reproducibility, and code quality.

• Collaborate with multidisciplinary teams and external partners to translate biological problems into computational solutions.

• Mentor and guide junior team members while contributing to a collaborative, adaptive, and high-performing team environment.

• 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

Required:

• PhD in Computational Biology, Bioinformatics, Computer Vision, or a related field (or equivalent industry experience).

• Strong understanding of spatial omics data and associated analysis challenges.

• 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.

• Strong proficiency in Python, with experience developing production-quality code for data analysis and pipeline development.

• Proven, hands-on experience in developing and applying deep learning models, using machine learning frameworks (e.g., PyTorch, Scikit-learn).

• Ability to independently solve complex, open-ended problems.

• Strong communication and collaboration skills in interdisciplinary environments.

Preferred:

• Industry experience in image analysis methods and/or pipeline development is a strong plus.

• Experience with agentic workflows, AI agents, or LLM-based systems.

• Experience applying best practices in scientific programming and/or software engineering (e.g., testing, debugging, version control, CI/CD).

• Experience with GPU programming and performance optimization.

• Experience with high-throughput computing such as HPC or cloud computing.

• Experience with tool development, UI/UX, or containerization (e.g., Docker).

What We Offer

• Opportunity to shape scientific direction in a cutting-edge company.

• Agile teams with fast decision-making and direct impact.

• Dynamic environment with growth and leadership potential.

• Close collaboration across R&D, product, and commercial teams.

Applications are reviewed on an ongoing basis and interviews will be conducted continuously throughout the recruitment process.