Bioinformatics & Data Assistant (mfd)

As a Bioinformatics & Data Assistant you will support the day-to-day operations of our Bioinformatics & IT team running established pipelines and maintaining data quality across our dermatology research projects. You will work closely with our Bioinformatics team with occasional support to other team members with data preparation tasks.

The tasks required to be undertaken include:

• Run and monitor established bioinformatics pipelines (RNA-seq proteomics) for routine sample processing
• Perform format and consistency checks (QC) on incoming and processed data
• Maintain and update data processing templates
• Document dataset structure and QC guidelines
• Support implementation of gene panels for main disease models
• Help automate QC checks into dashboards and periodic reports
• Link data preparation steps with existing pipelines
• Coordinate with App Developers and Bioinformatics team on data requirements
• Provide occasional support to other team members with data preparation tasks

Qualifications :

• Bachelors or Masters degree in bioinformatics computational biology or life sciences with a computational/data component
• Basic experience with R or Python for data processing
• Familiarity with next-generation sequencing (NGS) or omics data concepts
• Precision and attention to detail
• The ability to work independently and as part of a team
• Good written and spoken English

Nice to have

• Exposure to DESeq2 or similar differential expression tools
• Interest in gene expression and genomics data analysis
• Experience with data visualization tools (e.g. ggplot2 Prism)
• Strong problem-solving skills and a willingness to take on new challenges

Additional Information :

What we offer

• An initial fixed-term contract with the possibility of extension and the prospect of a permanent contract
• Hands-on experience across a broad range of dermatology research projects in a professional CRO environ-ment
• Close collaboration with an experienced Bioinformatics & IT team
• Opportunities to develop R/Python and pipeline skills under senior guidance
• Structured onboarding and mentorship
• Potential for growth and future career development within the company
• Flexible working hours within team/project requirements (flexible working hours with core hours)
• Company pension scheme Additional benefits: company bonus and access to corporate benefits (employee discounts with numerous providers) 
• Additional benefits: company bonus and access to corporate benefits (employee discounts with numerous providers) 

Remote Work :

No

Employment Type :

Full-time