Master-thesis (M.Sc.) in analysis and visualization of gene dependencies.

 Gene Editing Group  Frankfurt am Main

Activities and responsibilities

Activities and responsibilities - Based on a recently published technology (, we utilize single and multiplexed CRISPR/Cas gene editing libraries to investigate genetic interactions in the context of genome stability and tumorigenesis. Analyzing the Next Generation Sequencing data sets resulting from multiplexed high-throughput cellular screens requires novel computational approaches. We seek an ambitious and highly, highly motivated new team member who will support us in developing statistical models and computational tools and algorithms to systematically analyze and visualize functional relationships of genetic interactions.

Qualification profile

Qualification profile - The ideal candidate holds a Bachelor’s degree (or equivalent) in bioinformatics, biostatistics, informatics, applied mathematics or a similar area and has very good programming skills in Python, R, Java, or similar languages. A high interest in academic research, high-level analytical thinking, and team-oriented personality with good communication skills are mandatory. Prior experience with NGS data and biological network analyses is preferred but not required.

We offer

We offer - A versatile workplace in a university research institute consisting of 11 working groups, spread across 3 locations of the Goethe University with state-of-the-art computational, genomics and proteomics know-how and equipment.
The university advocates equal rights for women and men and therefore urges women to apply. Handicapped candidates are given preferential treatment with equal personal and professional qualifications.

Send application to

Please send your application documents (research statement, CV, certificates) with your earliest starting date to Manuel Kaulich, Institute of Biochemistry II, Department of Medicine, University Hospital of Goethe University, House 75, Theodor-Stern-Kai 7, 60590 Frankfurt am Main. Please send electronic applications as a single PDF file to

Travel and application costs cannot be reimbursed.
Please do not send any original documents as the application documents will not be returned.

While applying for the job please refer to jobvector and use the following reference number: 2019-11-02

About Gene Editing Group

We are a young, visionary, international and dynamic research team with interests in fundamental and translational science that employs a broad range of cutting edge technologies, e.g. CRISPR/Cas9-mediated genome wide screens, CRISPR/Cas9/rAAV-mediated gene editing, microscopy, proteomics, cell and molecular biology.
More about Gene Editing Group