Bioinformatics Analyst in Essex, Saffron Walden

Bioinformatics Analyst in Essex, Saffron Walden

Essex +1 Full-Time 29700 - 36300 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop and maintain genome resources for microbial research communities.
  • Company: Join the innovative Ensembl Microbes team at the forefront of bioinformatics.
  • Benefits: Enjoy competitive pay, flexible working hours, and opportunities for professional growth.
  • Other info: Be part of a dynamic team dedicated to advancing scientific research.
  • Why this job: Make a real difference in microbial research with cutting-edge genomic data.
  • Qualifications: Experience in bioinformatics and a passion for microbial genomics.

The predicted salary is between 29700 - 36300 Β£ per year.

We are seeking a skilled bioinformatician who is enthusiastic about developing and maintaining high-quality genome resources for microbial research communities to join the Ensembl Microbes team.

As part of the Ensembl project, Ensembl Microbes provides access to bacterial, archaeal, fungal and protist genomes and their annotations to research communities worldwide.

Locations

EssexSaffron Walden

Bioinformatics Analyst in Essex, Saffron Walden employer: EMBL-EBI

At EMBL-EBI, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make significant contributions to the field of bioinformatics. Located in the picturesque setting of Hinxton near Cambridge, we offer exceptional opportunities for professional growth, access to cutting-edge resources, and the chance to work alongside world-renowned experts in structural biology and machine learning. Join us to be part of a mission-driven team dedicated to advancing scientific knowledge and improving human health.

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Contact Details:

EMBL-EBI Recruitment Team

We think you need these skills to ace Bioinformatics Analyst in Essex, Saffron Walden

Bioinformatics
Genome Analysis
Microbial Research
Data Annotation
Database Management
Programming Skills
Statistical Analysis