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Provide technical guidance, coordinate and support our bioinformatics team
Design and development of workflows (scripting – Python, Bash, Perl, R) in collaboration with technical teams for prediction/processing/visualization of biological data
Application and further development of machine learning algorithms in the field of protein biochemistry
Data evaluation, data analysis and further processing of DNA/RNA raw sequencing data from Oxford Nanopore and Illumina technology.
Support shaping and maintaining our bioinformatics server infrastructure.
Scouting of new trends/technologies in the field of bioinformatics.
Presenting bioinformatics methods and their results in internal and external meetings.
Completed studies (B.Sc., M.Sc., Dipl.) in the field of bioinformatics or related disciplines
Optional: Doctoral studies in the field of bioinformatics, data science or related disciplines is a plus
Good knowledge of R, Perl, Python, Bash and/or other scripting languages
Experience in the field of “Next Generation Sequencing” and processing of raw sequence data
Basic knowledge in the area of Machine Learning
Basic Linux/Unix knowledge
Fluent in English and good skills in German
Creative, uncomplicated and pragmatic
Enjoy working independently in dynamic project teams in a scientific research environment
Willingness to design and implement (hands-on mentality)
Agile and efficient in both small and medium-sized teams
Very good communication skills and willingness to proactively communicate in all directions (project team, collaboration partners, “up and down”)
A position within a vigorous and exciting professional environment promoted by an open culture and a spirit of community
An entrepreneurial and highly innovative research environment with the opportunity to help shape your own work processes
A diverse and interdisciplinary team with a dynamic working environment that fosters creativity, innovations and teamwork
A permanent position, 30 days of annual holiday, flexible working hours, hybrid/mobile working, annual variable bonus payment, professional development measures (financial support for an in-service degree program), capital-forming benefits and company pension plan, support for health-promoting measures (free membership in a local gym, job bike leasing, company medical check-ups and free vaccination programs), good accessibility by public transportation, free parking spaces
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