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. 37 research groups with various cancer research profiles are involved and we have around 120 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.

The research group Olli Kallioniemi
This position resides in the research group of Olli Kallioniemi, Director of Science for Life Laboratory, Professor of Molecular Precision Medicine, affiliated with both the Dept. Oncology and Pathology, Karolinska Institutet and the Science for Life Laboratory. Our group carries out systems medicine research, aiming to understand the etiology, molecular mechanisms, biomarkers and therapeutics of disease in an individualized manner. The research group works in close collaboration with clinicians and bioinformatics experts as well as with the high-throughput and -omics platforms at SciLifeLab. For more information: https://www.scilifelab.se/researchers/olli-kallioniemi/.

Qualifications
The successful applicant is expected to have a doctoral degree or relevant long-term experience in academia or industry in a suitable field such as bioinformatics, computer science, mathematical modelling or statistics. Strong data analysis skills with several years of 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 bioinformatic experts and data scientists from all the SciLifeLab host universities. The tasks for this position involves development of a bioinformatic team effort to analyze multi-omics, systems medicine data. It also involves developing bioinformatic pipelines for -omics and drug testing data that will help scientists, drug developers, clinicians and eventually cancer patients.

Desired qualification and experience
- PhD or relevant long-term experience in bioinformatics, computer science, mathematical modelling, statistics or related area
- Several years of experience in analyzing -omics data 
- Knowledge of bioinformatic data analysis pipelines
- R, Bioconductor, Python and relevant programming expertise

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 MyNetwork recruitment system. The salary is defined according to the KI salary system for senior bioinformatic professionals. The project is initially for a two year contract with the preferred start date as soon as possible.

Type of employment Visstidsanställning längre än 6 månader
Contract type Full time
City Solna
County Stockholms län
Country Sweden
Reference number 2-4244/2017
Contact
  • Olli Kallioniemi, olli.kallioniemi@scilifelab.se
  • Päivi Östling, Paivi.ostling@ki.se, +46 (0)736 735 762
Union representative
  • Andreas Lundqvist, SACO, 46 8 517 768 84, andreas.lundqvist@ki.se;
  • Mimmi Shoshan, SACO, 46 8 517 754 60
  • Helen Eriksson, OFR, 46 8 517 762 79
Published 19.Sep.2017
Last application date 19.Oct.2017 11:59 PM CET

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