Scientist-2
Core
Support quantitative biology and bioinformatics activities including data analysis, quality control, visualization tool development, pipeline automation, and cross-study data integration for biomarker and clinical data.
Role type
Senior IC quantitative biomarker scientist (bioinformatics)
Builds
Automated data processing pipelines, data viewers (RMarkdown, Quarto, Shiny), and cross-study database integrations
Domain
Biotechnology / Pharmaceutical / Bioinformatics
Deliverable
production ML models
Required skills
R, Python, R Shiny, Bash, Git, statistical modeling (linear models, logistic regression, survival analysis), AI-assisted coding tools, molecular dataset processing, clinical trial data analysis
Preferred skills
Master's degree in Bioinformatics/Computational Biology, experience with Olink assay randomization, large-scale bioinformatics workflows, cardiovascular/metabolic/immunology/oncology knowledge
Technologies
R, Python, R Shiny, Bash, Git, Claude Code, Olink
Responsibilities
Create data subsets, labels, and formatting while maintaining statistical integrity; implement and optimize automated data processing pipelines; generate QC summaries and validate datasets; build and maintain data viewers; support cross-study database integration; develop AI-assisted coding resources; collaborate on biomarker data analysis and reporting.
Seniority
Senior, hands-on IC