Bioinformatician/computational biologist: data modelling and analysis

 
Published
WorkplaceZürich, Zurich region, Switzerland
Category
Position

100%, Zurich, fixed-term

The Swiss National Centre of Competence in Research in the area of Microbiome Research ( NCCR Microbiomes ) brings together a multi-institutional and interdisciplinary research consortium to work on computational, experimental and clinical microbiome systems. Combining modelling, engineering and synthetic approaches, we strive to understand the unifying principles of microbiome function, develop tools to diagnose microbiome status, and devise strategies to intervene and restore imbalanced microbiomes. To achieve these goals, the scope of the NCCR Microbiomes encompasses microbial communities in humans, animals, plants, as well as in natural (soil), industrial (wastewater) and synthetic systems.

To support these highly collaborative projects, we are seeking a bioinformatician/computational biologist to join our team based at ETH Zürich.

More detailed information about the NCCR Microbiomes can be found on the project website .

Job description

  • Application of modern biostatistics and modelling methods (including machine learning) to large scale datasets. These include, but are not limited to, Next Generation Sequencing (NGS) data
  • Analysis, integration and visualization of different types of omics data
  • Development of algorithms and tools for biological data analysis
  • Coordination across projects, communication with and presentation of your work to NCCR Microbiomes project partners
  • Support effective data management


Your profile

Required qualifications:

  • PhD in bioinformatics, biostatistics, computer science, computational biology or related field.
  • Demonstrated experience in the modelling and analysis of genomic and multi-omic data (e.g., metagenomics, metatranscriptomics, meta-proteomics, meta-metabolomics).
  • Excellent knowledge of biological/statistical data analysis methods.
  • Familiarity with Linux/Unix command line and high-performance computing environments.
  • Excellent communication, teamwork and organizational skills.
  • Proficient programming skills (e.g., Python, R, UNIX/bash scripting) with 1+ years of relevant experience.


The following additional qualifications may be advantageous:

  • Expertise in statistical approaches to integrate multi-omics data.
  • Background in microbial population/comparative genomics, microbial ecology.
  • Experience with genome-scale metabolic modelling.


We offer

The position is located at the Institute of Microbiology at ETH Zürich and embedded in the Laboratory of Microbiome Research , providing an environment of complementary expertise in the area of bioinformatics and infrastructure for high-performance computational analysis. You will work within a vibrant, inter-institutional, highly-collaborative research consortium with ample opportunities for training, exchange of expertise and networking.

Working, teaching and research at ETH Zurich

We value diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Curious? So are we.

We look forward to receiving your online application with the following documents by July 31st 2022:

  • A Cover/motivation letter (one page) that demonstrates your suitability for the offered position
  • A Curriculum Vitae including a list of publications and academic records
  • Names and contact information of two references
  • work references and/or other certificates


Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Questions regarding the position should be directed to Prof. Dr Shinichi Sunagawa ( ssunagawaethz.ch ).

For recruitment services the GTC of ETH Zurich

Apply online now

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
 
In your application, please refer to myScience.ch and reference JobID 56331.


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