Postdoctoral Researcher in Computational Biology, Data Analyst
Karolinska Institutet, Department of Women's and Children's Health
The Department is organized in 10 divisions: Obstetrics and Gynecology, Pediatrics, Pediatric Endocrinology, Pediatric Surgery, Neuropediatrics, Pediatric Oncology, Neonatology, Reproductive Endocrinology, Neuropsychiatry (KIND), Reproductive and Perinatal Health. The divisions have separate scientific profiles and vary in size and have several research groups, dealing with both basic and clinical science.
The Petter Brodin research group located at Science for Life Laboratory in Stockholm and affiliated with the unit of clinical pediatrics, Dept of Women’s and Children’s health, Karolinska Institutet, develops and applies experimental and computational research methods for systems-level analyses of human immune systems. The aim of the group is to understand human immune system variation in health and disease (Brodin & Davis, Nat. Rev Imm 2017) and the regulatory mechanisms underlying such variation and adaptation to environmental influences (Brodin et al, Cell 2015). A particular focus of the group is to understand immune systems development in early life (Olin et al, Cell 2018).
The postdoc project
The current project will be focused on the analysis of longitudinal high-dimensional data from mass cytometry, plasma protein profiling as well as RNA sequencing, from longitudinal samples of newborn children. The aim is to assess specific changes occurring early in life and to associate these with changes in environmental influences such as the microbiome.
Skills and personal qualities
The successful candidate should have a PhD in life sciences. Experiences with high-dimensional data analysis is essential. Experience of immunological research is a strong benefit but not a requirements. The ability to work with people of different backgrounds, and contribute to a project team is important. Strong proficiency in computational analysis is essential, experience with analysis using R and python languages are important given the existing pipelines within the research group.
A selection will be made among qualified applicants on the basis of the following criteria:
- Documented subject knowledge of relevance to the area of research
- Expressed interest in the proposed project
- Other documented experience relevant to the subject and planned project
The qualifications of the applicants will be evaluated on an overall basis.
Terms and conditions
The position will be in the form of a 2 year postdoctoral employment, with potentional prolongment.
An employment application must contain the following documents in English or Swedish:
- A complete curriculum vitae, 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)
The application is to be submitted through the Varbi recruitment system.
Karolinska Institutet is one of the world’s leading medical universities. Its vision is to significantly contribute to the improvement of human health. Karolinska Institutet accounts for the single largest share of all academic medical research conducted in Sweden and offers the country’s broadest range of education in medicine and health sciences. The Nobel Assembly at Karolinska Institutet selects the Nobel laureates in Physiology or Medicine.
Pursuant to the regulations of the Swedish National Archives, applications are kept on file for two years after the appointment has gained legal force. The regulations do not apply to attachments that have been printed or otherwise published.
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Type of employment Permanent position
Contract type Full time
First day of employment according to agreement
Salary monthly salary
Number of positions 1
Working hours 100%
County Stockholms län
Reference number 2-5799/2018
Contact Petter Brodin, Associate Professor, +46 8 524 813 96
- Carina Eklund, OFR, 08-585 826 65, email@example.com
- Henry Wölling, SEKO, firstname.lastname@example.org
- John Inge Johnsen, SACO, 08-8 517 77 515
Last application date 14.Nov.2018 11:59 PM CET