Bioinformatician 100 %

**School**: Life Sciences und Facility Management
**Starting date**: by arrangement

**Your role****:
Your responsibilities will include
- Execution of innovative research projects in the field of industrial biocatalysis
- Application and development of novel methods to leverage protein structure data for enzyme engineering
- Implementing and utilizing state-of-the-art machine learning methods to gain insights from enzyme structure-activity relationships for improved experimental design
- Statistical analysis of enzyme engineering data to validate experimental quality
- Developing and expanding relevant laboratory infrastructure and bioinformatics workflows
- Presenting research project results in internal and external meetings

**Your profile****:

- PhD in bioinformatics, chemistry, biochemistry, computational biology, or Master's degree with 3+ years of experience in a comparable work environment to perform independently
- Working knowledge of state-of-the-art bioinformatics for protein modeling, small molecule docking or the visualization and analysis of protein structures. Experience in molecular dynamics simulations of proteins is a plus
- Experience in algorithm design and running machine learning pipelines is a plus.
- Experience in carrying out multiple sequence alignments, phylogenetic reconstruction, sequence similarity networks as well as processing, quality control and statistical analysis of internal and external biological datasets including Next Generation Sequencing (NGS) data is a plus
- Proficiency in Python, Perl, or R programming. Working knowledge of Rosetta or similar computational packages is a plus
- Willingness to gain knowledge and develop skills in bioinformatics for enzyme engineering
- Fluency in oral and written English