Senior Biostatistician
Core
Develop and apply advanced statistical and machine-learning methods to high-dimensional biological and clinical data to support biomarker strategy, patient stratification, and clinical evidence generation for MASH therapeutics.
Role type
Senior individual contributor biostatistician (translational development)
Builds
Clinical evidence packages and biomarker strategies for early to mid-stage pipeline
Domain
Biopharmaceuticals / MASH (metabolic dysfunction-associated steatohepatitis) / Multi-omics
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical modeling, predictive modeling, experimental design, R, SAS, Python, machine learning libraries (scikit-learn, PyTorch, TensorFlow), data pipeline construction, multi-omic profiling analysis, PK/PD biomarker analysis
Preferred skills
Experience with genomics, transcriptomics, proteomics, metabolomics, single-cell data, spatial omics, imaging, EHR-linked genomic data
Responsibilities
Develop and apply advanced statistical and machine-learning methods to high-dimensional biological and clinical data; Analyze and integrate complex datasets including multi-omics and clinical outcomes; Quantitative modeling using multi-omic profiling and PK/PD biomarkers; Support statistical design and analysis of early clinical and translational studies; Partner with translational scientists, clinicians, bioinformaticians, and data scientists
Seniority
Senior, hands-on IC
