Do you want to contribute to top quality medical research?
Precision medicine refers to the tailoring of medical treatment to the individual characteristics of each patient. We are looking for a passionate bioinformatician interested in the concept of precision medicine to work with different types of omics data, with a focus on clinical mass spectrometry based proteomics data. The research will include to define and understand the biology behind different breast tumor subgroups, how they relate to clinical outcome, and how this information can be used to guide therapy decisions.
The position will be placed in the Cancer proteomics Mass spectrometry research group headed by Professor Janne Lehtiö at Science for Life Laboratory (SciLifeLab). The Lehtiö group is a translational group aiming to improve cancer treatment using multi-omics tumor data analysis. The group members are from various disciplines working as a team to study genes and proteins in the context of biological networks, understand how tumor molecular changes impact the proteome and discover new disease biomarkers to be exploited therapeutically. Scientists and engineers in our group work closely together using a variety of technologies to generate novel knowledge about the biology of the disease and implement tools to support the clinical-decision making in the oncology setting.
SciLifeLab is a national infrastructure and research center in technology and data driven life sciences and Karolinska Institutet is one of the four founding universities for SciLifeLab. We offer a very stimulating and diverse work in a team of very motivated co-workers with expertise in cutting-edge technology and closely associate to large data driven life science community.
We seek a highly motivated postdoc in bioinformatics, interested in cancer omics data analysis of clinical cohorts characterized by mass spectrometry-based proteomics. The postdoc position requires solid expertise in genomics, transcriptomics and/or proteomics data analysis and communication skills and willingness to work in a team environment. The postdoctoral research offers great possibility for innovative research combining proteomics and genomics data, together with a dedicated group of scientists.
The postdoc education will include integrative and translational analysis of multiple levels of omics data derived from breast cancer cohorts. The focus will be on developing and applying ‘omics’ methods on biologically/clinically oriented research questions and to analyze the acquired data as well as to validate the findings using public domain data. This includes both applying established data analysis steps as well as investigating new strategies and solutions for the analysis of quantitative biological data.
Scholarships for postdoctoral qualification can be established for foreign researchers who place their qualifications in Sweden. The purpose of scholarships for postdoctoral qualification is to promote internationalization and contribute to research qualification after a doctorate or equivalent.
A scholarship for carrying out postdoctoral research can be granted for a maximum of two years within a four year period following the receipt of a doctoral degree or equivalent.
To be eligible for a postdoctoral scholarship, the person must have obtained a doctorate or a foreign degree deemed to be equivalent to a doctorate. Applicants who have not completed a doctorate at the end of the application period may also apply, provided that all requirements for a completed degree are met before the (intended) start date of the post doctoral education.
The head of the department determines whether their previous training and scholarly qualifications correspond to a Swedish doctorate or higher.
- PhD in biology, medicine, bioinformatics, computer science, mathematical statistics, or another relevant field.
- Documented experience in bioinformatics, including experience with for instance NGS, MS based proteomics or analysis of data from other high-throughput / high-dimensionality generating methods.
- Working experience in systems biology/systems medicine, large-scale data analysis, integration and visualization.
- Programming experience in: Python and/or R
- Knowledge in statistical methods
- Understanding of cell- and molecular wet-lab experimental methods.
- Ability to interpret omics data in a biological context
- Excellent communications skills
- Fluent in English language
- Knowledge and working experience in MS based proteomics
- Knowledge and working experience of breast cancer and triple negative breast cancer biology
- Knowledge of cancer biology and current translational cancer research
- Experience on building and handling interactive user-friendly web-based visualization tools are a plus.
Since the position involves close interaction with several researchers, emphasis is placed on personal skills such as:
- Very good collaborative skills
- Excellent communication skills and analytical skills
- Curious and eager to solve biological questions
Location: Science for Life Laboratory in Solna, Lehtiö Lab
Type of scholarship
The amount is tax free and it is set for twelve months at a time, paid out on a six months basis. In exceptional cases, shorter periods may be acceptable.
An application must contain the following documents in English:
– Application letter
– A summary of current and previous work (no more than one page)
– A complete curriculum vitae, including date of the thesis defense, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
– A complete list of publications
The application is to be submitted on the Varbi recruitment system.