Bioinformatician / Computational Biologist / Data Scientist (f/m/d)

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