BACKGROUND

RESPONSIBILITIES

• Development of routine data processing and visualization pipelines for next generation sequencing platforms focusing on microbial re-sequencing, RNA-seq and amplicon sequencing
• Development of custom data analysis pipelines for non-standard next generation sequencing experiments
• Analysis, visualization, and integration of genomics, transcriptomics, proteomics, phenomics, and metabolomics data as part of project teams
• Participation in cell factory design and data analysis software platform development efforts at the CFB
• Collaboration with other groups at the CFB in data analysis as well as analysis method/pipeline development

REQUIREMENTS

• Candidate should hold a Ph.D. degree in bioinformatics, bioengineering, computer science, biology or similar field with preferably some post-doctoral experience.
• The applicant should have significant experience in next generation data analysis including working with re-sequencing and RNA-seq data.
• The applicant needs to have significant experience in structured scientific software development programming languages such as Python and R.
• Solid knowledge of statistical analysis and machine learning methods as applicable to bioinformatics problems is essential
• The applicant should be familiar with standard software engineering practices such as version control, testing, and documentation.
• Experience processing and analyzing other omics data types such as proteomics or metabolomics data is preferred.
• Knowledge of microbial (bacterial/fungal) genetics, physiology, synthetic biology and/or metabolic engineering is desirable.
• Ability to work in a multidisciplinary team and to communicate efficiently to team members with different backgrounds in English is required.

COMPENSATION

LOCALE

HOW TO APPLY

• Application (cover letter)
• CV
• Diploma (MSc/PhD)
• List of publications

DEADLINE