Head of Bioinformatics Facility
Head of Bioinformatics Facility
Max Planck Institute of Immunobiology and Epigenetics
Freiburg, Germany
Your tasks
We are seeking an experienced and visionary computer scientist to lead our Bioinformatics Facility. The successful candidate will have the opportunity to develop and lead their own independent research project, recruit PhD students through the IMPRS PhD program, and build a team by hiring postdoctoral researchers. In parallel, they will oversee the development and implementation of computational strategies to support and enhance research activities across the institute. This role involves close collaboration with experimental and theoretical groups and active contribution to cutting-edge research in epigenetics.
- Lead and manage the Bioinformatics Facility, ensuring the delivery of high-quality computational support;
- Lead Research Projects;
- Develop and maintain pipelines for the analysis of high-throughput sequencing data, including RNA-seq, ChIP-seq, ATAC-seq, and single-cell and spatial omics;
- Integrate machine learning and large language models (LLMs) into bioinformatics workflows to advance data analysis capabilities;
- Collaborate with research groups to design and analyze experiments, providing bioinformatics expertise from project inception to publication;
- Supervise and mentor a team of bioinformaticians, fostering professional development and ensuring the facility’s continuous growth;
- Interact with the relevant scientific infrastructure at the institute;
- Stay abreast of emerging technologies and methodologies in bioinformatics, implementing innovative solutions to meet evolving research needs.
Your qualifications
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field;
- Proven experience in managing bioinformatics projects and teams within a research setting;
- Strong background in analyzing high-throughput sequencing data and developing computational pipelines;
- Expertise in machine learning, with a particular emphasis on the application of large language models (LLMs) in biological data analysis;
- Proficiency in programming languages such as Python, R, and familiarity with bioinformatics tools and databases;
- Excellent communication skills, with the ability to collaborate effectively across multidisciplinary teams.
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