At QIMA, we are on a mission to offer our clients services they can trust. Operating in over 100 countries, we serve the consumer products, food, and life sciences industries and help more than 30,000 brands, retailers, manufacturers, and growers achieve quality excellence.

Our QIMA Life Sciences Division brings together a network of laboratories, including QIMA Monasterium. QIMA Life Sciences is a key player in contract research for the cosmetics, nutraceutical, dermatology, pharmaceutical, and biotech sectors. With over 10.000 m² of lab space across Europe and South America, we offer comprehensive services in bio-prediction, preclinical efficacy evaluation, and clinical trials.

QIMA Monasterium is based in Münster, Germany, and specializes in pre-clinical and clinical services in dermatology for therapeutics, cosmeceutical, and nutraceutical applications, offering among other clinically relevant ex vivo and in vivo pre-clinical models and state-of-the-art techniques.

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

• Bachelor's or Master's 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

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)