Senior Data Scientist in Image Analysis
Navinci Diagnostics AB
Uppsala, Uppsala län
Onsite
2026-06-22
Estimated salary · Uppsala
~ SEK 620,400 - SEK 882,000
Low
SEK 537K
Median
SEK 620K
High
SEK 730K
Market in Uppsala · SCB 2025
Estimated net pay
SEK 39,773 - SEK 50,884
/month · 23% withheld
after tax & contributions · on the estimated salary · Individual taxation — marital status and dependents do not affect it
Job description
About the company:
Navinci is a Swedish biotech company developing innovative technologies to study protein interactions in their native spatial context, with a strong legacy in in situ proximity ligation assay technology and a broad portfolio of products for spatial proteomics.
About the role:
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, 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 i