Postdoctor in Multi-omics Bioinformatician to Karolinska Institutet

Do you want to contribute to improving human health?

 Karolinska Institutet, Department of Oncology-Pathology, Lehtiö research group

The position will be placed in the Cancer proteomics Mass spectrometry research group headed by Professor Janne Lehtiö at Science for Life Laboratory (SciLifeLab). Karolinska Institutet is one of the four founding universities for SciLifeLab which is today national infrastructure and research center in technology driven life sciences. Lehtiö group is a translational group of scientists with a drive to improve human proteome analysis by developing new methods that can be applied to improve personalized cancer treatment. At present we seek to strengthen our research group with an outstanding scientist with proven expertise in interpretation and integration of cancer omics data and in generating value in both research and in translational settings. The employment is a postdoctoral position for 2 years (extendable up to a maximum of 4 years). We offer a very stimulating and diverse work in a team of very motivated co-workers with expertise in cutting-edge technology.

Your mission

We are looking for an outstanding multi-omics bioinformatics scientist with strong analytical and programming skills working on cancer omics data. The candidate should develop, set up, maintain and update bioinformatics pipelines to integrate tumor data from different technologies (including genomics, transcriptomics and proteomics). The aim is to generate novel knowledge about the tumor biology, discover tumor antigens, and associate the findings with emerging anti-cancer therapies, particularly towards targeted immunotherapies. The bioinformatician is also expected to develop tools to facilitate the translation of the work into new clinical initiatives.

Tasks for the position:

• Drive and run bioinformatics projects and serve as an expert in omics data interpretation
• Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure
• Maintain, support and update multiomics bioinformatics pipelines
• Development of tools to support clinical initiatives in applications of genomics and proteomics
• Integrate sequencing data from external and public resources to improve clinical research outcome
• Supervise postdocs, graduate students and technical personnel in bioinformatics and proteogenomics analysis
• Apply for external funding - both national and international
• Actively participate in academic, industry and health care collaborations involving omics -based methods to improve cancer therapy

Your profile

To be eligible for employment as a postdoctor a phd or a foreign degree deemed to be equivalent to a Swedish phd is required. This eligibility requirement must be fulfilled at the latest at the time of the employment decision. It is considered as an advantage if you have completed your doctoral degree within the last three years, if there are special reasons, your degree may have been completed earlier.

Qualifications

• PhD in bioinformatics, computer science, biology, medicine, or mathematical statistics.
• Experience in cancer research and analyses of large-scale multi-omics cancer data.
• Proven experience in development of bioinformatics tools and software packages.
• In-depth knowledge in NGS data processing from whole genome sequencing and RNA-seq, knowledge in single cell RNA-seq and spatial transcriptomics is a plus.
• Knowledge in Mass-spec proteomics and proteogenomics data analysis and interpretation.
• Acquaintance with immunotherapy concepts and neoantigen targeting.
• Substantial experience working in bash scripting and HPC Linux/Unix environment.
• Proficiency in programming (preferably Python, SQL, groovy, R, html, JavaScript, and bash).
• Good knowledge of cancer biology and translational cancer research.
• Experience of collaboration between different disciplines and providing bioinformatics support.
• Experience of implementational research.
• A proven academic track record, including high-impact and highly cited publications.
• Good knowledge in English, oral and written.

Additional merits

• Expertise in web programming and web application development.
• Expertise in managing large amounts of data by designing structured databases (PostgreSQL, MySQL).
• Machine learning methods such deep learning for analysis of proteomics data and classification of cancer profiles.

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.

Bases of assessment

In assessing the candidates, suitability for the position, experience in the above-specified methods, and experience in the field, will form the basis for the selection of this recruitment.

What do we offer?

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people you meet in healthcare are educated at KI. A close relationship with the health care providers is important for creating groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement.

Location: Science for Life Laboratory, SciLifeLab, Solna

 Choose to work at KI – Ten reasons why

Application

An employment application must contain the following documents in English or Swedish:

• A complete resumé, 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)

Welcome to apply at the latest 4^th November.

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

This employment is for 2 years. With possibility of extension. 

Want to make a difference? Join us and contribute to better health for all

1. Helena Bäckvall, helena.backvall@ki.se
2. Rui Branca, rui.mamede-branca@ki.se

1. Helen Eriksson, OFR, helen.eriksson@ki.se
2. Henry Wölling, Seco, henry.wolling@ki.se
3. Per Hydbring och Nick Tobin, SACO , per.hydbring@ki.se/nick.tobin@ki.se