Do you want to contribute to top quality medical research?

Department of Oncology-Pathology at SciLifeLab

Are you a highly ambitious and motivated individual with a passion for bioinformatics/data-driven science and precision medicine? We are seeking a talented and enthusiastic Postdoctoral Researcher with a passion for bioinformatics to join our dynamic team. You will be a part of the Kallioniemi research group. The Kallioniemi group is a creative and inspiring environment full of expertise and curiosity where each researcher has possibilities to develop individually as well as a team. Our group focuses on optimizing treatments for individual cancer patients based on molecular profiling and functional drug testing. Our goal is to develop a systems biology framework to match targeted therapies and drug combinations using omics- profiling and drug testing. This position offers an exciting opportunity to contribute to cutting-edge research projects in the field of medical science.

Your work will be carried out at the Science for Life Laboratory (SciLifeLab), which is a leading national infrastructure for next-generation life science research in Sweden. SciLifeLab is jointly operated by the four host universities: Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University, and it has facilities in four other universities across Sweden. There are over 1000 people working at SciLifeLab, either in research groups or in the infrastructure facilities, most of them in the KI Solna campus and in Uppsala. This position resides at the Solna campus.

Your mission

Your mission is to be part and help in a leading research environment for functional precision systems medicine research. The focus of the work will be to utilize datasets in the lab and with bioinformatic methods to identify new treatment opportunities in patients with cancer. You will also generate and analyse single-cell data. Specifically, you will:

  • Analyze and interpret complex biological data sets, particularly in the context of precision medicine.
  • Implement advanced bioinformatics pipelines to analyze single-cell and multi-omics data.
  • Develop innovative approaches for dataset quality control, harmonization, and integration to derive meaningful insights from diverse datasets.
  • Design ex vivo and in silico experiments, guide laboratory studies, provide data analysis support, and contribute meaningful analysis to research publications.
  • Stay abreast of the latest advancements in bioinformatics and medical science to bring novel methodologies to the team.
  • Disseminate results in scientific publications and publicly available data visualization tools. Present the work in group meetings, internally at KI, and at scientific conferences

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.

Requirements:

  • A Ph.D. degree in a relevant field such as pharmaceutical sciences, medical sciences, biological sciences, or data science. You should not have earnt your Ph.D. degree earlier than 3 years from the start date of the position.
  • Demonstrated expertise in bioinformatics, with a strong focus on the analysis of single-cell and multi-omics datasets.
  • Proficiency in programming languages commonly used in bioinformatics, such as R, Python, or MatLab.
  • Solid understanding of statistical methods and their application to biological data.
  • Familiarity with data harmonization techniques, particularly in the context of integrating diverse datasets from multiple sources.
  • Excellent communication skills and the ability to collaborate effectively with multidisciplinary teams.
  • Proven track record of high-impact scientific publications.

Additional Skills (Preferred):

  • Background in cancer genomics, immunology, or other medical-related fields.
  • Knowledge of machine learning and its applications to biological data analysis.
  • Experience with bioinformatics tools and databases commonly used in medical research.
  • Strong data visualization skills to effectively communicate research findings.

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:
SciLifeLab, Solna

 www.scilifelab.se/researchers/olli-kallioniemi/
Choose to work at KI – Ten reasons why

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 30th November. 

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

This position is for 2 years, with the posibility of extension 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 salary
Number of positions 1
Full-time equivalent 100 %
City Solna
County Stockholms län
Country Sweden
Reference number STÖD 2-4460/2023
Contact
  • Tom Erkers, tom.erkers@ki.se
  • Brinton Seashore-Ludlow, brinton.seashore-ludlow@ki.se
Union representative
  • Helen Eriksson, OFR, helen.eriksson@ki.se
  • Henry Wölling, Seko, henry.wolling@ki.se
  • Per Hydbring/Nick Tobin, SACO, per.hydbring@ki.se/nick.tobin@ki.se
Published 15.Nov.2023
Last application date 30.Nov.2023 11:59 PM CET

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