1-2 Postdoctoral positions in computational splicing analysis

Updated: 3 months ago

Do you want to contribute to top quality medical research?

The Ziegenhain lab is working on shedding light on central molecular processes in human cells, in particular with regards to the control of alternative splicing of transcribed mRNAs.
For this, the lab develops and employs cutting edge single-cell sequencing and computational approaches. The research group is part of the diverse and vibrant research environment of the Division of Medical systems bioengineering at the department of Medical Biochemistry and Biophysics (MBB).

Your mission

We are seeking a highly motivated and enthusiastic postdoctoral fellow to utilize various types of cutting-edge single-cell genomics data in order to identify disease-associated patterns of alternative splicing.

Within your project, you will focus on identifying cell type-specific changes in mRNA splicing in schizophrenia cases. For this, RNA-binding proteins may be a particular driving factor, which we aim to investigate in more functional detail using a CRISPRi screen. Further projects to elucidate disease-relevant splicing events are of interest to the lab, in particular with regards to cancers such as glioblastoma or cancers of the hematopoietic system.

Your profile

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.

We are looking for highly motivated, self-driven candidate with a strong track record and relevant experience during the PhD. The successful applicant is expected to have a background and a strong interest in one or several of the following areas: computational biology, statistics, bioinformatics or single cell genomics.

Good communication and team-player skills as well as proficiency in spoken and written English are required.

  • You hold a PhD degree in computational biology, statistics, computer science or similar.
  • Proficient in computational analysis using R/Python/Rust or similar.
  • Proven track-record of publications.
  • Experience with high performance computing will be considered an advantage.
  • Experience with alternative splicing analyses will be considered an advantage.
  • Experience with single-cell or spatial genomics will be considered an advantage. 

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: Biomedicum, Solna

 Link to the lab website:https://ki.se/en/mbb/ziegenhain-lab

Link to the department website: https://ki.se/en/mbb/department-of-medical-biochemistry-and-biophysics


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)
  • A cover letter

Welcome to apply at the latest December 3rd 2023.

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

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