Karolinska Institutet, Institutionen för onkologi-patologi, Forskargrupp Kallioniemi

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.

Science for Life Laboratory 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 1 000 people working at SciLifeLab, either in research groups or in the infrastructure facilities, most of them in the KI Solna campus and in Uppsala. SciLIfeLab has hundreds of bioinformaticians and computer scientists, representing one of the largest cocenration of computational biologists in Europe. Therefore, our environment offers unparalleled critical mass and opportunities for continued learning, training and collaborations both among computer scientists as well as with biologists.
For more information: www.scilifelab.se

The research group Olli Kallioniemi
This position resides in the research group of Olli Kallioniemi, Director of SciLifeLab and Professor of Molecular Precision Medicine, Dept. of Oncology and Pathology, KI. Our group carries out systems medicine research, aiming to understand the molecular make-up and match treatments to patients in an individualized manner. This is enabled by bioinformatic analysis and machine learning of data from drug testing assays, molecular profiling and imaging. These capabilities form the basis of the future practice of diagnostics, drug development and personalized treatment for cancer. We have a small team within the group is focussing entirely on computational approaches.
For more information: https://www.scilifelab.se/researchers/olli-kallioniemi/

Desired qualifications and experience
The successful applicant should ideally have a doctoral degree or relevant experience in academia or industry in a suitable field such as bioinformatics, computer science, mathematical modelling, and machine learning. Strong data analysis skills and experience with -omics data and expertise in relevant bioinformatics data analysis pipelines. Excellent skills in R, Bioconductor and/or Python and other relevant programming expertise is needed.
Motivation to develop web-based interactive tools enabling biologists to visualize and data-mine and carry out basic analyses is also highly appreciated. In our dynamic, multidisciplinary and collaborative team, the applicant should be self-driven, but possess excellent interpersonal and communication skills in spoken and written English.

Task description
This position provides an exciting opportunity to work in a leading research environment for high-throughput, systems medicine research, in close collaboration with wet-lab, clinical and bioinformatic experts. The tasks for this position involve  data analysis, integration and mining as well as  development of new methods, pipelines and processes that will help the community of scientists, drug developers, clinicians and eventually cancer patients.

Application process, salary and contract
An application must contain the following documents in English: Curriculum vitae, qualifications and description of previous work and vision of future goals, presented in accordance with Karolinska Institutet’s qualifications portfolio. For more information: http://ki.se/qualificationsportfolio.
The application is to be submitted through the Varbi recruitment system. The salary is defined according to the KI salary system for bioinformatic professionals. The project is initially for two years with the possibility of extension.

Type of employment Tidsbegrænset ansættelse mere end 6 måneder
Contract type Full time
City Solna
County Stockholms län
Country Sweden
Reference number 2-3886/2019
Contact
  • Olli Kallioniemi, olli.kallioniemi@scilifelab.se
  • Päivi Östling, paivi.ostling@scilifelab.se, +46 (0)73 6735762
Union representative
  • Andreas Lundqvist, SACO, 08 517 768 84, andreas.lundqvist@ki.se
  • Helen Eriksson, OFR, 08 517 762 79
Published 08.Jul.2019
Last application date 15.Sep.2019 11:59 PM CET

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