瑞典卡罗林斯卡学院2020年招聘博士后职位（计算生物学）

Job Description

In many patients, anti-cancer therapy struggles with resistance and metastases. To address these, treatments aimed at unleashing the immune system against cancer cells are being developed, with encouraging results. But presently, not all patients see benefits from immunotherapy and side-effects can be severe.

Developing immuno-therapies is challenging because of the complexity of the immune system. Immunity depends on the interaction between dozens of cell types with multiple phenotypes, controlled by hundreds of molecular signals. In particular, the rules of how molecular signals combine to control immune response are only partially known. Not knowing these rules is a major obstacle to designing effective interventions with limited side-effects.

As a research lab, we aim to identify such rules by combining large-scale cancer data analysis, experiments in mouse cancer models, and theory. Accordingly, we are a team of bioinformaticians, immunologists and theorists. We are based at the Department of Cellular and Molecular Biology at KarolinskaInstitutet (KI) and at SciLifeLab (https: // www. hausserlab.org) in Stockholm, Sweden.

Your mission

We are looking for a computational biologist to contribute to ongoing research projects in the lab, ranging from analyzing single cell transcriptomics data generated in the lab, to mining public cancer genomics datasets, to analyzing large scale tumor microscopy images.

Your responsibilities will include data analysis, developing computational pipelines, collaborating with your colleagues in the lab, and punctually helping to run the lab.

Your profile

You do not need to be proficient in all the points below. But the more boxes you can check, the better. In order of decreasing importance, you should bring:

- bioinformatics skills: single-cell transcriptomics bioinformatics, dimensionality reduction techniques to identify structure in high-dimensional datasets, methods for handling and mapping large sequencing libraries, pathway analysis

- mastery of data analysis environments (R or python)

- good scripting / programming skills (such as perl, unix shell, or other)

- research experience, for example in the form of a PhD or in another form

- familiarity with methods to analyze large microscopy images, in particular python libraries for image processing & registration

- familiarity with the unix environment; sysadmin and netadmin skills is a plus

- familiarity with cancer biology and immunology

- familiarity with probability theory, bayesian inference, stochastic processes

In addition, your personal skills will be highly valued.

This is a temporary position of 13 months.

We offer

- Exciting research projects of direct medical relevance in a lab positioned at the interface between computational and experimental research.

- A stimulating scientific environment and top research infrastructure. KI is among the world's top medical universities and KI's faculty awards the Nobel Prize in physiology and medicine. SciLifeLab is the Swedish national center for large-scale molecular bioscience, with stimulating researchers and top facilities in-house.

- High life quality. Stockholm consistently tops the rankings of cities with highest quality of life worldwide.

Application process

An application must contain the following documents in English:

- A cover letter (1-2 pages max.)

- A curriculum vitae

- 3 references (name, institution, email)

The application must be submitted through the Varbi recruitment system to be considered.

Type of employmentTemporary position longer than 6 months

Contract typeFull time

First day of employmentAccording to agreement

SalaryMonthly salary

Number of positions1

Working hours100%

CityStockholm

CountyStockholmslän

CountrySweden

Reference number2-3305/2020

ContactJean Hausser, Assistant professor, jean.hausser@ki.se

Union representativeMagnus Anå, OFR, 08-524 864 37, magnus.ana@ki.se

Elisabeth Valenzuela, SEKO , 46 8-524 863 53

Published05.Aug.2020

Last application date09.Sep.2020 11:59 PM CET

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