Thermo Fisher Scientific UK is seeking a Scientist in Bioinformatics & Data Analytics to support Microarray-related projects through advanced data analysis and collaboration with molecular biologists. The role requires expertise in bioinformatics, strong programming skills, and the ability to derive actionable insights from complex datasets. This hybrid position combines onsite and remote work, emphasizing professional development within a supportive team
Job Summary
The role involves supporting Microarray-related projects through advanced data analysis, workflow automation, and cross-functional scientific collaboration.
Candidates will develop robust data analysis workflows to improve efficiency, scalability, and reproducibility while ensuring data quality and integrity.
Thermo Fisher Scientific offers an innovative environment within a rapidly growing international company committed to professional development.
Matching Summary
Match Score: 85
Thermo Fisher Scientific UK is seeking a Scientist in Bioinformatics & Data Analytics to support Microarray-related projects through advanced data analysis and collaboration with molecular biologists. The role requires expertise in bioinformatics, strong programming skills, and the ability to derive actionable insights from complex datasets. This hybrid position combines onsite and remote work, emphasizing professional development within a supportive team.
Salary
Monthly range: €3,016.67–€4,000.00; Location: Lithuania; Not specified
Skills & Requirements
Must-have
Python proficiency with data analysis libraries
Microarray dataset analysis experience
Linux command-line environment usage
SQL database management skills
Git version control system knowledge
Modular and maintainable code development
Nice-to-have
Docker containerization experience
AI/ML library familiarity
Web development technology skills
Agentic workflows for software development
Smart Factory digitalization initiatives
Computer networking and hardware basics
Key Requirements
MSc in Bioinformatics, Computational Biology, Data Science, or related field
Strong written and spoken English communication skills
Experience developing independent data analysis workflows