The Department of Computational Biology of Infection Research, led by Prof. Dr. Alice C. McHardy, at the Helmholtz Centre for Infection Research (HZI) is looking for a highly motivated
Postdoc in Computational Biology (f/m/d)
The Helmholtz Centre for Infection Research GmbH (HZI) is a member of the Helmholtz Association of German Research Centers, the largest scientific organization in Germany.
Scientists at the HZI develop strategies to better combat infectious diseases. Their goal is to develop novel approaches for the prevention, diagnosis and therapy of infectious diseases. To this end, they study bacterial and viral pathogens and their interaction with the immune system and explore new active ingredients.
The goal of our projects is the development of algorithms and computer-aided methods for personalized infection medicine, particularly clinical metaomics, vaccine and drug design, as well as the evelopment of core technologies for meta- and other omics analyses. The methods that we develop make use of concepts from machine learning, phylogenetics and population genetics. The lab co-organizes the Critical Assessment of Metagenome Interpretation challenge, hosts the bioinformatics unit of the German Center for Infection Research (DZIF), and is well connected to local, national and international partners from medicine, biology and computer science. The lab’s projects offer plenty of opportunity for an excellent bioinformatics postdoc to shine.
The lab is part of the Helmholtz Center for Infection Research, the Braunschweig Integrated Center for System Biology (BRICS) and Technical University of Braunschweig, Germany. The Helmholtz society is the largest research organization in Germany and ranked 7th among the research institutions in the world. Braunschweig is a centrally located city in Germany, with many scientific institutions, recreational areas, comparably modest costs of living and about 248.000 residents.
Responsibilities
• Responsible for the content of research tasks in projects of other scientists
• Development and implementation of computational pipelines in connection with the analysis of complex questions from biology, medicine and bioinformatics
• Organisational and general support tasks for the BIFO department
• Teaching activities
Requirements:
• Applicants should have a degree in computer science, bioinformatics, statistics, machine learning, biomathematics, statistics or a related field
• Experience working with bioinformatics methods, a commitment to reproducible research, the ability to work in an interdisciplinary research area
• Very good programming skills are mandatory
• Existing knowledge of infection research or analysis of NGS datasets is advantageous but not required
• Among other soft skills, organizational skills, independent, structured and goal-oriented work, team and communication skills
• Very good English and basic to fluent German is helpful
We offer you
• Challenging and varied tasks in a dynamic and international research environment
• Modern workplace equipment
• Additional services of the public service
• Flexible working hours and workplace design
• Support for a better balance between work and private life through our family office
• A workplace at BRICS/Work-from-home possibilities
People with severe disabilities and equivalent professional qualifications who are suitable for the position are given preference. In order to protect your rights, we ask you to provide us with a clearly recognizable reference to the existence of a degree of severe disability in your cover letter or resume.
The HZI strives for professional equality between women and men. The position is suitable for part-time work and will be realized within the scope of the possibilities of the service.
Starting date: March 2022, the contract will initially run for two years.
Salary: E 14 TVöD Bund
Working time: 39 hours per week
Place of work: Braunschweig/Work-from-home possible
Probation period: 6 Months
Closing date: 06.02.2022
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For further information please contact Prof. Alice McHardy
[email protected] and Ms. Annie Loh-Bode
[email protected].
Please send your electronic application materials including a letter of motivation, research interests, curriculum vitae, copies of your most important publications and addresses of two or three referees referring to code 6/2022 to
[email protected] and
[email protected] Please provide a summary in one single (1) pdf document.