Lead Computational Microbiologist for PFAS Genomics

CellX Biosolutions AG

Schlieren

On-site

CHF 160,000 - 230,000

Full time

3 days ago
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Benefits offered by this job

Stock option package
Competitive salary
Startup culture

Job summary

CellX Biosolutions AG in Schlieren near Zürich is seeking a Senior Computational Microbiologist to build and lead our in-house computational microbiology capability. You will work with sequencing data and omics streams to understand PFAS degradation and design predictive pipelines for strain performance.

This role bridges computation and the wet lab. You will supervise a Laboratory Technician, collaborate with R&D to move products from lab to field, and shape data-informed product development.

Qualifications

  • PhD in Bioinformatics, Computational Biology, Microbial Genomics, or related field.
  • Senior-level research experience in microbiology with computational and experimental work.
  • Strong programming skills and experience with workflow managers.
  • Experience applying AI/ML methods to biological data.
  • Excellent English, leadership experience preferred.

Responsibilities

  • Lead the development of an in-house computational microbiology capability.
  • Design and implement a pipeline for genome assembly, annotation, and comparative genomics.
  • Build metabolic models to predict PFAS degradation across strains.
  • Design experiments to validate predictions and supervise wet-lab activities.
  • Collaborate with R&D for field deployments and regulatory support.

Skills

Senior-level microbiology
Programming (Python/R)
Workflow management (Nextflow/Snakemke

Education

PhD in Bioinformatics/Computational Biology/Microbial Genomics

Tools

Nextflow
Snakemake
Python
R

Job description

CellX Biosolutions AG in Schlieren near Zürich is seeking a Senior Computational Microbiologist to build and lead our in-house computational microbiology capability. You will work with sequencing data and omics streams to understand PFAS degradation and design predictive pipelines for strain performance.

This role bridges computation and the wet lab. You will supervise a Laboratory Technician, collaborate with R&D to move products from lab to field, and shape data-informed product development.

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