Postdoc in Bioinformatics for Proteome Precision Medicine

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 work 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.

Your mission

We seek a highly motivated postdoc in bioinformatics, interested in cancer omics data analysis of clinical cohorts characterized by mass spectrometry-based proteomics. The position requires solid expertise in genomics, transcriptomics and/or proteomics data analysis and communication skills and willingness to work in a team environment. The current position offers great possibility for innovative research combining proteomics and genomics data, together with a dedicated group of scientists.

The postdoc will work on 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.

Your profile

Qualified to be employed as a postdoctor is one who has obtained a doctorate or has equivalent scientific competence. 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) date of employment. This must be substantiated by the applicant's main supervisor, director or equivalent. The head of the department determines whether their previous training and scholarly qualifications correspond to a Swedish doctorate or higher.

Qualifications

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

Additional merits

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

What do we offer?

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 better health for all. At Karolinska Institutet, we conduct innovative medical research and provide the largest range of biomedical education in Sweden. Karolinska Institutet is a state university, which entitles employees to several benefits such as extended holiday and a generous occupational pension. Employees also have free access to our modern gym and receive reimbursements for medical care.

Location: Science for Life Laboratory in Solna

Lehtiö Lab

Application

An employment 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

Welcome to apply at the latest 2021-05-31.

The application is to be submitted through the Varbi recruitment system.

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