Hybrid (on site presence in the ghent office for 2 days/week)
Advanced degree in biostatistics or related field
8+ years pharma/biotech clinical development experience
Expert r programming with bioconductor ecosystem
Argenx is seeking a Biomarker Data Scientist to lead statistical analysis for autoimmune clinical programs, focusing on translating exploratory research questions into quantitative strategies. The ideal candidate will have extensive experience in biostatistics, strong programming skills, and a commitment to reproducible science
Job Summary
You will serve as the statistical leader for analytical biomarker strategies across early and late-stage autoimmune clinical programs.
The role requires translating exploratory research questions into robust quantitative strategies using advanced methods like dimensionality reduction and multiplicity control.
Candidates must champion reproducible research best practices and collaborate with cross-functional teams to ensure ALCOA++ compliance for regulatory interactions.
Matching Summary
Match Score: 85
Argenx is seeking a Biomarker Data Scientist to lead statistical analysis for autoimmune clinical programs, focusing on translating exploratory research questions into quantitative strategies. The ideal candidate will have extensive experience in biostatistics, strong programming skills, and a commitment to reproducible science.
Skills & Requirements
Must-have
Advanced degree in Biostatistics or related field
8+ years pharma/biotech clinical development experience
Expert R programming with Bioconductor ecosystem
Experience with longitudinal models and survival analysis
Hands-on machine learning for high-dimensional datasets
Knowledge of CDISC standards and regulatory submission metadata
Nice-to-have
Python proficiency for scientific computing and ML
SAS proficiency valued
Experience with Git-first workflows and cloud platforms
Familiarity with Databricks, Snowflake, and Posit Team
Background in dashboarding tools like R/Shiny or Spotfire
Mentoring teams in advanced R practices and bioinformatics
Key Requirements
Advanced degree in Biostatistics, Biomedical Science, or Bioengineering
8+ years of experience in pharmaceutical or biotech clinical development
Expertise in surrogate markers, diagnostic, prognostic, and pharmacodynamic biomarker methods