Postdoctoral studies in translational leukemia/cancer bioinformatics (Scholarship)

Karolinska Institutet

Application deadline

February 14, 2021

Do you want to contribute to improving human health?

The postdoctoral studies will be conducted in the Cancer proteomics Mass spectrometry research group headed by Professor Janne Lehtiö at Science for Life Laboratory (SciLifeLab). Karolinska Institutet is one of the four founding universities for SciLifeLab which is today a national infrastructure and research center in technology driven life sciences. Lehtiö group is a translational group of scientists with a drive to improve human proteome analysis by developing and using new proteomics methods that can be applied to improve personalized cancer treatment. We now need to strengthen our leukemia sub-group with a postdoc bioinformatician within the field of multi-omics data analysis and cancer research. We offer a very stimulating and diverse working atmosphere in a team of very motivated cancer researchers.

Division and duties

We are looking for an outstanding postdoc with focus on bioinformatics and experience in omics data analysis. 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 various lymphoid malignancies such as AML and ALL cell lines as well as clinical specimens with the aim of identifying novel therapeutic and resistance biomarkers. 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.

Important components of the work are experimental design, development of proteomics/ genomics/transcriptomics pipelines and statistical analyses of quantitative data. It is expected that the applicant is well acquainted with software and programming languages related to omics data analysis. The candidate is expected to take a strong lead in managing and driving the project(s) as well as writing manuscripts.

Entry requirements

Scholarships for postdoctoral qualification can be established for foreign researchers who place their qualifications in Sweden. The purpose of scholarships for postdoctoral qualification is to promote internationalization and contribute to research qualification after a doctorate or equivalent.

A scholarship for carrying out postdoctoral research can be granted for a maximum of two years within a four year period following the receipt of a doctoral degree or equivalent.

To be eligible for a postdoctoral scholarship, the person must have obtained a doctorate or a foreign degree deemed to be equivalent to a doctorate. Applicants who have not completed a doctorate at the end of the application period may also apply, provided that all requirements for a completed degree are met before the (intended) start date of the post doctoral education.

The head of the department determines whether their previous training and scholarly qualifications correspond to a Swedish doctorate or higher.


  • 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, drug sensitivity/resistance screens or analysis of data from other high-throughput / high-dimensionality generating methods.
  • Working experience in systems biology/systems medicine, large-scale data analysis, integration and visualization.
  • Programming experience in: Python and 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 is an advantage
  • Knowledge and working experience of AML and ALL biology is ideal
  • Knowledge of cancer biology and current translational cancer research
  • Knowledge/experience of drug discovery and development methods
  • Experience on building and handling interactive user-friendly web-based visualization tools
  • Experience in using and working in GitHub is an advantage

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

Type of scholarship

The amount is tax free and it is set for twelve months at a time, paid out on a six months basis. In exceptional cases, shorter periods may be acceptable.

Location:Science for Life Laboratory in Solna


Application process

An application must contain the following documents in English:

  • Application letter
  • A complete curriculum vitae, 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)

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

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

First day of employment1st of April or as per agreement
Reference numberSTÖD 2-188/2021
ContactProfessor Janne Lehtiö,
Rozbeh Jafari,
Helena Bäckvall,
Union representativeHelen Eriksson, OFR, 08-524 823 38Andreas Lundqvist, SACO, 08-517 768 84
Last application date14.Feb.2021 11:59 PM CET

Last updated: 2021-01-28

Content Responsible: David Gotthold(