Do you want to contribute to top quality medical research?

Karolinska Institutet, Department of Oncology-Pathology, Lehtiö research group

At the Department of Oncology-Pathology basic, translational and clinical research and educational activities related to cancer is carried out. Approximately 300 people from over 40 nations are currently working at the department. About 30 research groups with various cancer research profiles are involved and we have around 110 PhD students. The Department of Oncology-Pathology is responsible for undergraduate courses in Pathology, Oncology and Forensic Medicine for medical students, as well as for Tumor biology courses for biomedicine students and Pathology courses for opticians.

Do you want to contribute by connecting the latest cancer proteome research to patient benefits?

Precision medicine refers to the tailoring of medical treatment to the individual characteristics of each patient. We are looking for a passionate bioinformatician interested in the concept of precision medicine to work with different types of omics data, with a focus on clinical mass spectrometry based proteomics data. The work will include to define and understand the biology behind different breast tumor subgroups, how they relate to clinical outcome, and how this information can be used to guide therapy decisions.

The position will be placed in the Cancer proteomics Mass spectrometry research group headed by Professor Janne Lehtiö at Science for Life Laboratory (SciLifeLab). The Lehtiö group is a translational group aiming to improve cancer treatment using multi-omics tumor data analysis. The group members are from various disciplines working as a team to study genes and proteins in the context of biological networks, understand how tumor molecular changes impact the proteome and discover new disease biomarkers to be exploited therapeutically. Scientists and engineers in our group work closely together using a variety of technologies to generate novel knowledge about the biology of the disease and implement tools to support the clinical-decision making in the oncology setting.

SciLifeLab is a national infrastructure and research center in technology driven life sciences and Karolinska Institutet is one of the four founding universities for SciLifeLab. We offer a very stimulating and diverse work in a team of very motivated co-workers with expertise in cutting-edge technology.

Your mission

We seek a highly motivated postdoc in bioinformatics, interested in cancer ​omics data analysis of clinical cohorts characterized by mass spectrometry based proteomics. The position requires solid expertise in genomics, transcriptomics and/or proteomics data analysis and communication skills and willingness to work in a team environment. The current position offers great possibility for innovative research combining proteomics and genomics data, together with a dedicated group of scientists.

The postdoc will work on integrative and translational analysis of multiple levels of omics data derived from breast cancer cohorts. The focus will be on developing and applying ‘omics’ methods on biologically/clinically oriented research questions and to analyze the acquired data as well as to validate the findings using public domain data. This includes both applying established data analysis steps as well as investigating new strategies and solutions for the analysis of quantitative biological data.

Your profile

To be eligible for employment as a postdoctor a doctoral degree or a foreign degree deemed to be equivalent to a doctoral degree is required. This eligibility requirement must be fulfilled at the latest at the time of the employment decision. It is considered as an advantage if you have completed your doctoral degree within the last three years, if there are special reasons, your degree may have been completed earlier.


  • PhD in biology, medicine, bioinformatics, computer science, mathematical statistics, or another relevant field.
  • Documented experience in bioinformatics, including experience with for instance NGS, MS based proteomics or analysis of data from other high-throughput / high-dimensionality generating methods.
  • Documented experience in machine learning methods such as unsupervised clustering and supervised classification of samples.
  • Working experience in systems biology/systems medicine, large-scale data analysis, integration and visualization.
  • Programming experience in: Python and/or R
  • Knowledge in statistical methods
  • Understanding of cell- and molecular wet-lab experimental methods.
  • Ability to interpret omics data in a biological context
  • Excellent communications skills
  • Fluent in English language

Additional merits

  • Knowledge and working experience in MS based proteomics
  • Knowledge and working experience of breast cancer and triple negative breast cancer biology
  • Knowledge of cancer biology and current translational cancer research
  • Experience on building and handling interactive user-friendly web-based visualization tools are a plus.

Since the position involves close interaction with several researchers, emphasis is placed on personal skills such as:

  • Very good collaborative skills
  • Excellent communication skills and analytical skills
  • Curious and eager to solve biological questions

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. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people you meet in healthcare are educated at KI. A close relationship with the health care providers is important for creating groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement.

Location: Science for Life Laboratory in Solna

Choose to work at KI – Ten reasons why


An employment application must contain the following documents in English or Swedish:

  • A complete resumé, including date of the thesis defence, 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)

Welcome to apply at the latest 8th June.

The application is to be submitted through the Varbi recruitment system.

The position is for 2 year, with possibility of extencion. 1+1 year. 

Want to make a difference? Join us and contribute to better health for all

Type of employment Temporary position
Contract type Full time
First day of employment Up on agreement
Salary Monthly sallary
Number of positions 1
Full-time equivalent 100 %
City Solna
County Stockholms län
Country Sweden
Reference number STÖD 2-2183/2023
  • Professor janne Lehtiö, +46852481416,
  • Senior Researcher Henrik Johansson,
  • Helena Bäckvall,
Union representative
  • Helen Eriksson, OFR,
  • Henry Wölling, Seko,
  • Per Hydbring/Nick Tobin, Saco,
Published 25.May.2023
Last application date 08.Jun.2023 11:59 PM CEST

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