Do you want to contribute to top quality medical research?

The research group of Professor Johan Hartman at the Oncology-Pathology department performs clinical and translational studies for breast cancer, with a special focus on precision medicine.
The aim is to predict better individual patients' unique drug sensitivity, as well as to understand the role of tumor heterogeneity and tumor-stromal interactions in breast cancer disease progression. We have a well-established research platform and organization using a multitude of pathology, genetic, and transcriptomic methods in a concerted effort to identify key factors that lead to resistance to current treatment regimens for breast cancer, as well as to identify novel biomarkers for the development of new diagnostic tools. The successful candidate will have access to our unique patient datasets and is expected to perform top-level breast cancer studies together with our collaborators at both KI, KTH, and Science for Life Laboratory.

Your mission

We are looking for a highly motivated postdoc with strong bioinformatics background to join our multidisciplinary team consisting of clinicians, bioinformaticians, computer scientists, and biologists. The postdoc candidate's main tasks will be establishing pipelines for analyzing gene expression data from bulk-/single-cell RNA-sequencing, spatial transcriptomics, and other platforms (e.g., microarray or digital multiplexed gene expression platforms). DNA sequencing (WES or targeted sequencing of gene panels) and chromatin accessibility sequencing (ATAC-seq) will also be carried out. The postdoc candidate will participate in the somatic mutation and copy number alteration analysis concerning the interplay between tumor heterogeneity and treatment resistance mechanisms.

Your profile

To be eligible for employment as a postdoc, 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 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. The successful applicant should have the following qualifications:

Absolute requirements:

  • A Ph.D. degree in bioinformatics, computational biology, molecular biology, computer science, or an equivalent quantitative area.
  • Proficiency in a scripting language like R/Python, as well as the ability to work efficiently in a Linux command-line environment.
  • Prior experience with gene expression analysis of high-throughput data and/or DNA-sequencing data analysis, supported by publications.
  • Knowledge of molecular biology and interest in learning more.
  • Excellent interpersonal communication skills (written and verbal English).
  • Good data management and documentation skills.

Desired competencies:

  • Experience in single-cell or spatial transcriptomics analyses or multi-omics integration analysis.
  • Knowledge of tumor biology and/or histology.
  • Experience in biostatistics or machine learning approaches.
  • Experience in cancer-related databases, such as TCGA, COSMIC, dbSNP, etc

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:
The position is located within the Oncology-Pathology department, mainly at Cancer Centrum Karolinska (CCK) in Solna. The position is located within the research group of Prof. Johan Hartman.

Links: https://hartmanlab.org/

Application

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 April 3th

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

This position will last for two years. 

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 Upon agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 100 %
City Solna
County Stockholms län
Country Sweden
Reference number STÖD 2-1039/2023
Contact
  • Johan Hartman, johan.hartman@ki.se
Union representative
  • Per Hydbring/Nick Tobin, Saco, per.hydbring@ki.se/nick.tobin@ki.se
  • Henry Wölling, Seko, henry.wolling@ki.se
  • Helen Eriksson,OFR, helen.eriksson@ki.se
Published 07.Mar.2023
Last application date 03.Apr.2023 11:59 PM CEST

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