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The successful candidate will be part of our effort to establish bioinformatic workflows in enzyme engineering for the development of next-generation industrial biocatalysts.

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
  • Strong background in statistics and ability to apply it to experimental design or large dataset analysis.
  • 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

This is what we stand for

Zurich University of Applied Sciences ZHAW is one of Switzerland's largest multidisciplinary universities of applied sciences, with over 14'000 students and 3'400 faculty and staff.

Around 1,800 students are currently enrolled at the School of Life sciences and facility Management, which has more than 600 employees. We offer seven Bachelor's and four Master's degree programmes, together with a wide range of continuing education courses.

The Institute for Chemistry and Biotechnology (ICBT) is one of the scientific institutes at the ZHAW. It conducts applied research on cutting-edge topics relating to health, chemistry, biotechnology and the environment - from antibiotic resistance and antiviral agents to microplastics and more sustainable chemical processes.

The Centre for Biocatalysis and Process Technology develops methods and processes along the biotechnological value chain: Our experts identify and optimize enzymatic and metal-organic catalysts and carry out the technical and biotechnological implementation of industrial processes for the production of high-value substances.

We offer you a challenging task in an inspiring working environment with a motivated, young team.

What you can expect

We offer working conditions and terms of employment commensurate with higher education institutions and actively promote personal development for staff in leadership and non-leadership positions. A detailed description of advantages and benefits can be found at Working at the ZHAW. The main points are listed below:

Contact

Prof. Dr. Rebecca Buller
Head of Competence Center for Biocatalysis

+41 58 934 54 38
rebecca.buller@zhaw.ch

Laura Steinegger-Hornung
Recruiting Manager

laura.steineggerhornung@zhaw.ch

Job details

Title
Bioinformatician 100 %
Location
Gertrudstrasse 15 Winterthur, Switzerland
Published
2023-03-20
Application deadline
Unspecified
Job type
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About the employer

ZHAW provides teaching, research, continuing education, consulting and other services are both scientifically based and practice-oriented.

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