Data Analysis Scientist, Analytical Development
Core
Develop analytical tools and concepts for quality control (QC) in proteomics, performing complex data analysis to identify parameters driving quality and performance.
Role type
Senior IC data analysis scientist (proteomics/QC)
Builds
Robust and reliable analytical solutions for QC methods
Domain
Life sciences / Proteomics / Bioinformatics
Deliverable
production ML models | product features
Required skills
Statistical analysis, R programming, Data trending, Shiny app development, Technical problem solving, Laboratory experience in biochemistry/molecular biology
Preferred skills
Experience leading activities and mentoring colleagues
Technologies
R, Shiny
Responsibilities
Develop and evaluate analytical tools and concepts, Perform complex data analysis to identify key parameters influencing performance, Trend data to support troubleshooting and improve QC metrics, Collaborate cross-functionally on technical projects, Mentor colleagues and build team expertise
Seniority
Senior, hands-on IC with mentorship