Scientist (m,f,x) in Computational and Laboratory Infection Research

The Department of Translational and Computational Infection Research at the Faculty of Medicine is looking for a

Scientist (m,f,x) in Computational and Laboratory Infection Research for 2 years with 39,83 hours per week, TV-L E13

The Department of Translational and Computational Infection Research at Ruhr University Bochum is seeking a highly motivated Scientist to join our dynamic and interdisciplinary team. Our department serves as a link between the campus and the university hospitals, focusing on the interactions between pathogens and their hosts. We utilize cutting-edge methods at the intersection of computational and laboratory techniques to develop new therapies for infectious diseases.

As a Scientist in our department, you will play a crucial role in advancing our research projects. You will be responsible for conducting independent research, utilizing state-of-the-art techniques such as single-cell RNA sequencing (scRNAseq), spatial transcriptomics, high-throughput sequencing (HTS), and Oxford Nanopore Technologies (ONT). Your work will involve both computational and laboratory methods, making you a key player in integrating data and developing new methodologies.

Your tasks:

1. Conduct independent research projects utilizing cutting-edge techniques such as single-cell RNA sequencing (scRNAseq), spatial transcriptomics, high-throughput sequencing (HTS), and Oxford Nanopore Technologies (ONT).
2. Collaborate with both computational and laboratory teams to integrate data and develop new methodologies.
3. Design and execute experiments to investigate pathogen-host interactions, analyze data, and interpret results.
4. Develop and optimize protocols for advanced molecular and computational techniques.
5. Supervise and mentor junior researchers, graduate students, and interns in their scientific projects.
6. Prepare and manage third-party funding applications and projects, including budgeting and reporting.
7. Author and co-author scientific publications and present research findings at national and international conferences.

Your profile:

1. PhD or equivalent in a relevant scientific field.
2. Experience with one or more of the following methods: scRNAseq, spatial transcriptomics, HTS, ONT.
3. Strong background in either laboratory techniques or bioinformatics.
4. Experience with artificial intelligence (AI) driven methods in infection research is desirable.
5. Very good written and spoken English skills.
6. Strong organizational and communication skills.
7. Team-oriented and independent working style.
8. High initiative and problem-solving skills.

Our offerings:

1. Challenging and varied tasks with a high degree of personal responsibility.
2. A qualified induction programme.
3. Team-orientated cooperation in a committed, international and appreciative team.
4. A dynamic environment.
5. Fair working hours and family-friendly working.

Contact details for your application:

Prof. Dr. Daniel Todt, Phone: +49234 32 22463

We are looking forward to receiving your application with the specification ANR: 4389 until 21/04/2025, send by e-mail to the following address: computational-virology@ruhr-uni-bochum.de

extent: full-time
duration: temporary
beginning: as soon as possible
application deadline: 21.04.2025

The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim.

The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.