Do you want to contribute to top quality medical research?

SciLifeLab is a unique national research infrastructure providing services and data resources for life science with the overall aim to facilitate cutting-edge, multi-disciplinary life science research and promote its translation to the benefit of society.

The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) focuses on data-driven research, within fields essential for improving people’s lives, detecting and treating diseases, protecting biodiversity and creating sustainability. The program will train and recruit the next generation of data-driven life scientists and create strong and globally competitive computational and data science capabilities in Swedish life science.

The DDLS program has established a national data science node in Precision Medicine and Diagnostics, with a national responsibility to develop data services and to provide bioinformatics support. The node staff are employed at Karolinska Institutet (KI) and placed at the Compliance & Data Office (CDO) at the KI campus in northern Stockholm near SciLifeLab’s Stockholm site. CDO offers broad support on data management, health data, clinical studies, ethics and compliance to researchers and is now, through the DDLS program, developing more specific support for precision medicine and diagnostics. KI also offers close interactions with regional and local initiatives within precision medicine, e.g. the collaborative Precision Medicine Centre Karolinska together with the Karolinska University hospital. The bioinformatician position is integrated with the SciLifeLab bioinformatics platform (NBIS), a unique national infrastructure with over 100 employees, providing support, infrastructure and training to the Swedish life science research community. We are now looking for an outstanding candidate with competence in data-driven precision medicine and related data analyses, to provide advanced bioinformatics support to scientifically excellent data-driven Swedish research projects in Precision Medicine and Diagnostics.

Your mission

The main responsibilities are to:

  • Perform advanced data analyses within data-driven projects.
  • Potentially develop tools and workflows to aid such analyses.
  • Educate other scientists in bioinformatics through collaboration within supported projects, teaching at advanced national courses and consultations.
  • Engage in the continuous development and improvement of the DDLS program and the SciLifeLab Bioinformatics platform at a national level.

Data analysis tasks could for example include classifying patients based on molecular profiles and health records to develop approaches facilitating more informed treatment decisions. The work can also involve support to preclinical research, e.g. studies using model systems to increase the understanding of disease mechanisms through analysis of multi-omics data, microscopy images and/or drug-response profiles.

Your profile

We are looking for a highly motivated bioinformatician with a strong background in large-scale data analysis within medical research. The successful candidate should have:

  • A PhD in bioinformatics, biomedicine, computer science or other related areas that the employer considers relevant for the position.
  • Extensive (3+ years) experience with advanced bioinformatics analysis of large-scale molecular data (e.g. genetic variation, transcriptomics, proteomics or metabolomics) in relation to health outcomes, such as disease risk, survival times and drug responses, in humans or model systems.
  • Experience with biostatistics or machine learning approaches, and an understanding of the applicability and limitations of such methods.
  • Proficiency with one or more programming languages, as well as ability to work efficiently in a Linux command-line environment and on high-performance computer clusters.
  • Fluent oral and written communication skills in English.
  • Strong skills in cooperation and communication, as well as ability to independently drive projects forward.

Merits

Postdoctoral studies are a strong merit but not a requirement. Knowledge of precision medicine clinical trials, translational medicine research, biomarker discovery and health informatics are strong merits. Skills in integrative multi-omics analyses, advanced data visualisation and medical image analysis are also strongly meriting. Experience of providing bioinformatics support and training is also meriting. Great importance will be given to personal suitability and communication skills when working with multi-professional teams.

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 

Choose to work at KI – Ten reasons why

Application

Welcome to apply at the latest.

Your application should be submitted through the Varbi recruitment system. The application should contain a personal letter describing why you are interested in the position and how it matches your qualifications, as well as a CV including a list of your scientific publications. You may write the application in Swedish or English.

Permanent position is initiated by a six months trial period.

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

Type of employment Permanent position
Contract type Full time
First day of employment Enligt överenskommelse
Salary Monthly salary
Number of positions 1
Full-time equivalent 100%
City Solna
County Stockholms län
Country Sweden
Reference number STÖD 2-3625/2024
Contact
  • Cecilia Martinsson Björkdahl, enhetschef , cecilia.bjorkdahl@ki.se,08-52487265)
  • Pär Engström, NBIS Bioinformatics Support Manager, par.engstrom@scilifelab.se,08-162244
Union representative
  • Magnus Anå, OFR, 08-52486437,magnus.ana@ki.se
  • Henry Wölling, SEKO, henry.wolling@ki.se
  • Saco-föreningen vid universitetsförvaltningen, SACO@uf.ki.se
Published 03.Oct.2024
Last application date 03.Nov.2024 11:59 PM CET
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