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PhD pos., Comp. biochem./chem. or struct. bioinf., U of Duesseldorf, Gohlke group

We invite applications for one PhD student position in the Computational Pharmaceutical Chemistry & Molecular Bioinformatics group (Prof. Dr. Holger Gohlke) at the Heinrich-Heine-University, Duesseldorf, Germany.


Functional state modulation of membrane proteins by dynamic association and dissociation.


Find more detailed information regarding this position here or under:


The position is available immediately.

Ideal candidates will have a record of excellence and a strong background in computational biochemistry/chemistry or structural bioinformatics, a high interest in working in an interdisciplinary collaboration, and profound knowledge in state-of-the-art molecular dynamics simulations (Amber) software, molecular modelling (in particular, protein-protein docking), and QM/MM calculations.

Application process

Applicants should submit applications (a one-page letter of motivation why they are interested in the respective project and how they can contribute to the project’s success, a current CV, and contact data of three references) by email to gohlke[at] . Please provide all documents as one PDF file and specify for which position you are applying.

PhD student „Computational biology of ctDNA“ (m/f/d)

We are looking for committed people with enthusiasm for biomedical research!

TRON gGmbH – Translational Oncology at the Medical Center of the University Mainz – is a non-university, biopharmaceutical research institute in the legal form of a non-profit organization. The company’s aim is to develop highly innovative technologies to address medical needs in the fields of cancer diagnostics and therapeutics. TRON was founded in Mainz in 2010 and works in close cooperation with universities and clinics as well as with regional, national and international research institutions and companies in the pharmaceutical industry.

As part of our team, you have the opportunity to work with talented and dedicated colleagues, to develop and expand your professional experience, and to be at the cutting-edge of translational science to improve patient lives.

TRON is currently expanding its multidisciplinary Computational Medicine Unit with exceptional experience in next generation sequencing data analysis and immuno-informatics. One of our projects focuses on circulating tumor DNA (ctDNA). CtDNA is fragmented DNA derived from tumors and circulates in the bloodstream. Analyzing ctDNA enables early cancer detection, molecular profiling, treatment monitoring and to study tumor evolution. A key challenge is the sensitive computational identification of tumor specific mutations from sequencing data of plasma samples. In order to enlarge our technological knowledge and expertise, we are searching for a

PhD student „Computational biology of ctDNA“ (m/f/d)


·         Design efficient sequencing and analysis strategies for ctDNA

·         Implement best-in-class software solutions for highly accurate data analysis

·         Design experiments for confirmation of computed findings

·         Analyze time series data from clinical studies

·         Tight interaction with genomics and molecular biology teams


·         Master-level education in bioinformatics, computer science or a related field

·         Deep understanding of cancer biology and immunology is a plus

Any experience in NGS data analysis and programming as well as in in machine learning completes your profile.

If you are a self-starter who loves working effectively in an agile start-up environment, and besides if you do have strong visual, verbal and written communication skills, you will feel well and home at TRON and within your task. If you are additionally an enthusiastic team player who is thrilled by supporting the implementation of personalized medicine, you should not wait any longer to apply for this position.

We look forward to receiving your application.

Please send your application documents (cover letter, CV, certificates) in one document of max. 5 MB by email to Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! to the attention of Sandra Nauth, reference “PhD ctDNA”.

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