Postdoctoral position in biostatistics and bioinformatics

The Department of Medical Epidemiology and Biostatistics (MEB) is among the largest departments of epidemiology in Europe with special focus on increasing our knowledge of the aetiology of different diseases. Our department consists of researchers, doctoral students, biostatisticians, data collectors and database administrators as well as administrative personnel, in total some 250 staff. The department is situated at campus Solna. Further information can be found at ki.se/meb

The advent of high-throughput technologies has produced an avalanche of omics data and revolutionized medical research. Our research aims at developing and applying computational and statistical methodologies for analyses of multi-omics data from complex human diseases. The successful postdoctoral candidate will collaborate closely with our team members and external collaborators to analyze different omics-data for discoveries of biomarkers in cancers and rare diseases using statistical methodologies and bioinformatics tools. The candidate will be a part of the Department of Medical Epidemiology and Biostatistics (MEB), which is among the largest departments of epidemiology in Europe. The candidate will work with Dr. Trung Nghia Vu and Professor Yudi Pawitan on the research projects.

This position is a fixed-term employment of 2 years, with the possibility of extension.

To be eligible for employment as a postdoctor, a doctoral degree or a foreign degree deemed to be equivalent to a doctoral degree 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.

The postdoctoral candidate is required to have a solid background in both biostatistics and bioinformatics. The candidate should have training in bioinformatics, computer science, statistics, computational biology or similar subjects during their PhD.  The position requires experience with analysis of both next-generation sequencing data, especially establishing bioinformatics analysis pipeline for RNA-sequencing data and down-stream analysis of the gene-expression data. Experience in single-cell RNA-sequencing analysis is a merit. Experience with programming using R is required and other programming languages such as C/C++, Python will be an advantage. Regarding personal characteristics, the candidate should be well-informed and have curiosity concerning issues of health, biology and statistical problems; thoroughness in dealing with research data; interest and persistence in learning new tasks; ability to collaborate in a multidisciplinary group. Fluency in oral and written English is required.

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: Solna

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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 28th of February 2023.

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