Bioinformatics Engineer: Build Scalable Genomic Pipelines

Breed Bio BV; Limburg; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Learning budget

Fringe benefits

Job summary

Breed Bio BV is seeking a Bioinformatics Engineer passionate about turning science into scalable software for large-scale genomic projects. You will design, develop and review code, build computational biology pipelines, and contribute to productized solutions with open-source and proprietary components.

You should have a Master’s in a relevant field, strong Python and R skills, and practical Docker and Unix experience.

Qualifications

• Master's degree in Bioinformatics, Computer Science, Computational Biology, Genomics, Bioengineering or Biotechnology
• Experience with Python and R; Docker and Unix knowledge is a plus
• Experience with open-source libraries and computational pipelines
• Experience with genomic techniques in trait discovery and breeding such as QTL mapping, MAS or GS
• Experience with BLAST or similar tools and understanding assay design and off-target analysis
• Fluency in English; strong standards and teamwork ethos

Responsibilities

• Design, write, test and review high quality code and scripts.
• Build computational biology pipelines and perform data analysis for projects.
• Convert scientific literature into productized solutions using open-source and proprietary code.
• Collaborate with project managers and engineers; stay updated on technologies.

Skills

Python

R

Data analysis

Genomics

Open-source libraries

Big-picture thinking

Collaboration

Education

Master's degree in Bioinformatics / Computational Biology

Tools

Docker

BLAST

UNIX

Job description

Breed Bio BV is seeking a Bioinformatics Engineer passionate about turning science into scalable software for large-scale genomic projects. You will design, develop and review code, build computational biology pipelines, and contribute to productized solutions with open-source and proprietary components.

You should have a Master’s in a relevant field, strong Python and R skills, and practical Docker and Unix experience.