Computational Staff Scientist – shared between 2 labs – in spatial and single cell omics Full-time

Computational Staff Scientist – Shared Between Two Labs – In Spatial And Single Cell Omics

Do you want to contribute to top quality medical research? Come and join the Andersson & Kragesteen labs at the department of Medical Biochemistry and Biophysics (MBB) at Karolinska Institutet/Biomedicum and decipher the molecular logic of Organ development and Oxygen Homeostasis that is central to human health – with world-class facilities, passionate biomedical scientists, a buzzing capital, and scenic nature at your doorstep.

The vision of the Andersson-Rolf group is to translate knowledge from development to promote regeneration and prevent disease in adulthood. We integrate human foetal and adult pancreas and stomach organoid technology with (spatial) omics, genome- and bioengineering. We aim to understand the 'blueprint' of development from studying complex primary tissue, and to use this knowledge to deconstruct and reconstruct it in vitro.

The Kragesteen group overarching goal is to uncover the genetic basis of oxygen homeostasis. The lab uses mouse hypoxia models, human foetal tissues, and kidney organoids to map and manipulate oxygen-sensing circuitry with a focus on erythropoiesis regulation and human evolutionary adaptation to high altitude hypoxia.

Your Mission

We are looking for highly motivated and enthusiastic candidate with a strong interest in biological questions surrounding development and genome regulation, and experience in computational analysis of spatial transcriptomics and single cell omics data and data integration. The applicant will work in close collaboration with the two PIs, PhD students, and other researchers to help shape a well-functioning collaborative laboratory environment with a focus on data management and analysis.

Main responsibilities include:

• Processing and analysis of spatial transcriptomics data (Xenium (5k) and HD Visium)
• Processing and analysis of sc-omic data (RNA, ATAC, CUT&Tag/Run,..)
• Data integration and interpretation
• Careful documentation and setting up analytical workflows.
• Take charge of computational infrastructure, pipelines, etc.
• Mentoring students in the lab in analysing their own data

Your Profile

We welcome applications from candidates with a doctoral degree in Computational Biology, Bioinformatics, or other related fields. The successful candidate is a curious, motivated, energetic, responsible scientist with good communication and organizational skills, who enjoys working with people, mentoring students, and take pride in delivering work of good quality.

The work requires:

• Documented Expertise in Computational Biology and data analysis (eg. using R and Python)
• Expertise using Unix, bash
• Good organization of scripts and workflows (e.g., GitHub, Nextflow)
• Motivated to evaluate and implement the latest tools
• Experienced in analysis of spatial-transcriptomics data (Xenium, Visium, other) and data integration (sc-omics)
• Experienced in analysis of sc-omics data
• Curious about the biology and scientific questions of the labs
• Experience with server maintenance is a merit
• Proficiency in English and excellent communication skills.

Merits (not required, but advantageous):

• Experience in AI algorithms, and machine learning
• Experience in Spatial proteomics
• Experience in splicing analysis

The applicant must be able to integrate well into the international and multidisciplinary environment. Personal suitability is therefore of great importance.

What Do We Offer?

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. Karolinska Institutet is also a state university, which entitles you to several good benefits through our collective agreement. And you get to practice freely in our modern wellness facilities, where trained staff are on site.

Location: Solna, Biomedicum

For more information please visit:

Kragesteen lab

Andersson-Rolf lab

Department of Medical Biochemistry and Biophysics

Medical systems bioengineering unit

Application

KI applies individual and differentiated salary setting in accordance with our collective agreements RALS and RALS-T.

An employment application must contain the following documents in English:

• A complete curriculum vitae, including date of the thesis defense, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
• A complete list of publications
• A summary of current work (no more than one page)
• A short motivation letter (in English and no more than one page)

Welcome to apply at the latest September 15th, 2026