Computational Biology Scientist – Moleculent Applications Team

Moleculent; Solna kommun; Hybrid; SEK 450,000 - 600,000; Full time

Job summary

Moleculent is seeking an experienced Computational Biology Scientist to join their team in Solna, Stockholm. This permanent position involves transforming complex spatial biology data into actionable insights through effective project design and stakeholder communication.

Key responsibilities include driving data analysis workflows, executing image preprocessing, and ensuring compliance with data standards. Ideal candidates will hold an MSc or PhD in a related field, possess strong Python skills, and have a solid understanding of immunology.

The opportunity includes the possibility to work remotely, making it a flexible role in a cutting-edge environment.

Qualifications

• MSc or PhD required, postdoc experience is advantageous.
• Fluent in written and spoken English.
• Strong computer skills necessary.

Responsibilities

• Design and interpret analysis strategies for application development.
• Execute image preprocessing and spatial metrics extraction.
• Compile results into standardized reports.
• Collaborate on refining methods and prototyping new metrics.
• Ensure data traceability and compliance with standards.

Skills

Proficiency in Python

Spatial single-cell analysis

Understanding of immunology

Experience in data presentation

Customer interaction experience

Education

MSc or PhD in computational biology or related field

Job description

Are you passionate about transforming complex spatial biology data into actionable insights? Do you thrive in a cross‑functional environment bridging experimental and computational teams? Moleculent is looking for an experienced Computational Biology Scientist with Immunology knowledge to drive and evolve our Applications and Fee‑for‑Service (FFS) initiatives. Join us to contribute to cutting‑edge technology that unveils new perspectives on human biology!

This is a permanent position based in Solna, Stockholm, with the possibility to work remotely.

JOB DESCRIPTION

As a Computational Biology Scientist, you will play a key role in driving data analysis workflows for customer and internal validation projects. You will take ownership of project design, biological interpretation, and stakeholder communication, working closely with wet‑lab scientists, the Applications Team Lead, and R&D to ensure high‑quality, reliable data insights.

Key responsibilities:

• Design and interpret analysis strategies to support application development and pilot studies.

• Execute image preprocessing, cell segmentation, and spatial metrics extraction using established pipelines.

• Compile and visualize results into standardized reports for internal use and customer delivery.

• Collaborate on refining methods, troubleshooting, and prototyping new analysis metrics.

• Ensure data traceability and compliance with Moleculent's data packaging standards.

QUALIFICATIONS

To fit this role well, you should hold an MSc or PhD in computational biology, bioinformatics, image analysis, spatial omics, or a related field. It’s a strong advantage if you have done a postdoc in a relevant field. Fluency in both written and spoken English, along with strong computer skills, is essential. Experience in clearly and effectively presenting data—both in writing and in oral presentations—is a key requirement.

• Proficiency in Python and spatial single‑cell analysis, with the ability to design, execute, and interpret analysis workflows for complex datasets.

• A solid understanding of immunology is important, as our data closely relates to immune cell populations, marker panels, and tissue‑based immune profiling.

• Experience working directly with customers—whether through pilot studies, fee‑for‑service delivery, or technical support—is highly valued in this role.

• Experience working across R&D, product, and commercial functions is a plus.

• Skilled in summarizing insights for cross‑functional teams.