Senior Scientist, Computational Biology – Molecular Applications Team

This is a fully remote position, open to applicants in Sweden.

📋 Description

• Lead data analysis processes for customer and internal validation initiatives.

• Take ownership of project design, biological interpretation, and communication with stakeholders.

• Collaborate closely with wet-lab scientists, the Applications Team Lead, and the R&D team.

• Develop and interpret analysis strategies tailored for application development and pilot studies.

• Perform image preprocessing, cell segmentation, and spatial metrics extraction utilizing established pipelines.

• Gather and visualize results into standardized reports for internal utilization and customer delivery.

• Partner on method refinement, troubleshooting, and the development of new analysis metrics.

• Ensure data traceability and adherence to Moleculent’s data packaging standards.

⛳️ Requirements

• MSc or PhD in computational biology, bioinformatics, image analysis, spatial omics, or a related discipline.

• A postdoctoral experience in a relevant field is a significant advantage.

• Proficiency in both written and spoken English.

• Strong computer skills are essential.

• Experience in effectively presenting data both in writing and during oral presentations.

• Proficient in Python programming.

• Expertise in spatial single-cell analysis.

• Capability to design, implement, and interpret analysis workflows for complex datasets.

• Solid understanding of immunology, including immune cell populations, marker panels, and tissue-based immune profiling.

• Valuable experience working directly with customers through pilot studies, fee-for-service delivery, or technical support.

• Experience collaborating across R&D, product, and commercial functions is advantageous.

• Skilled in summarizing insights for cross-functional teams.

🏝️ Benefits

• Permanent position with the option to work remotely.

• Opportunity to become part of a focused and dedicated team.

• Engage in innovative technology within human biology and spatial biology.

• Collaborate across experimental, computational, R&D, product, and commercial teams.

• Chance to contribute to application development, pilot studies, and fee-for-service projects.