Arbetsbeskrivning

Navinci is a Swedish biotech company specializing in developing innovative solutions for studying in situ protein expression and interactions. With a focus and a strong legacy in developing in situ proximity ligation assay technology, Navinci has established itself as a center of excellence in the field and has a broad portfolio of products that help researchers study protein interactions in depth.

We are now looking to expand our R&D team in Uppsala, Sweden. We’re on an exciting journey to grow the company. If you are passionate about science, loves a dynamic and changing environment and want to be part of the team building a company – this is the role for you.

About the Role

We are hiring an image analysis lead to build and maintain advanced imaging pipelines for spatial-biology assays. You’ll lead a small team, collaborate closely with R&D scientists, and deliver robust image analysis for both internal R&D and external service projects. This is a hands-on leadership role combining coding, scientific interpretation, and operational execution.

Key Responsibilities

· Design and deploy automated workflows for registration, segmentation, and quantification of multiplex tissue images.

· Combine open-source and commercial tools (e.g., QuPath, CellProfiler, Python scripts) to meet project requirements.

· Lead a small science team; apply agile methods and sprint planning aligned to Navinci’s timelines.

· Work closely with assay developers to translate biological questions into quantitative image metrics.

· Lead analysis for internal and external projects, delivering high-quality reports and visualizations.

· Maintain reproducible codebases, apply validation frameworks, and pilot emerging tools or ML methods.

· Play a key role in scaling Navinci’s image analysis infrastructure to support a growing portfolio of spatial-proteomics assays and data-intensive projects.

· Ensure delivery of reproducible, high-quality image analysis within project timelines and aligned to predefined accuracy and robustness criteria.

Qualifications

Required:

· MSc or PhD in Bioimage Informatics, Computational Biology, or related field

· 7+ years’ experience in image analysis for tissue-based assays (biotech or life sciences)

· Proficient in Python (NumPy, SciPy, scikit-image), MATLAB, or similar

· Strong grasp of registration, segmentation, and spatial quantification techniques

· Familiarity with tissue imaging challenges

· Proven ability to lead and mentor small technical teams in an agile, fast-paced environment.

· Strong project leadership, communication, and stakeholder engagement skills

Preferred:

· Experience with containerized workflows and version control

· Background in spatial omics or multiplexed imaging platforms

What We Offer

· Lead image analysis in a cutting-edge spatial proteomics company

· Work cross-functionally on impactful research and real-world applications

· Agile environment with rapid iteration and team empowerment

· Opportunity to grow your team and shape analysis infrastructure