CW Data Scientist

Overview

Bio Marin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health.

Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities.

Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best – people with the right technical expertise and a relentless drive to solve real problems – and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we’ve produced a diverse pipeline of commercial, clinical and preclinical candidates that have well‑understood biology and provide an opportunity to be first‑to‑market or offer a substantial benefit over existing therapeutic options.

Bio Marin’s Technical Operations group is responsible for creating our drugs for use in clinical trials and for scaling production of those drugs for the commercial market. These engineers, technicians, scientists and support staff build and maintain Bio Marin’s cutting‑edge manufacturing processes and sites, provide quality assurance and quality control to ensure we meet regulatory standards, and procure the needed goods and services to support manufacturing and coordinating the worldwide.

Global Data Science (GDS), Data Management Science (DMS)

Bio Marin Data Science is responsible for designing, capturing, analyzing, and presenting data that can drive key decisions for Clinical Development, Medical Affairs, and other business areas of Bio Marin. With a quality‑by‑design culture, Data Science builds quality data that is fit‑for‑purpose to support statistically sound investigation of critical scientific questions. The Data Science team develops solid analytics that are visually relevant and impactful in supporting key data‑driven decisions across Bio Marin.

The Data Management Science (DMS) group contributes to Data Science by providing complete, correct, and consistent analyzable data at data, data structure and documentation levels following international standards and GCP. The DMS Center of Risk Based Quality Management (RBQM) sub‑function is responsible for the implementation of a comprehensive, cross‑functional strategy to proactively manage quality risks for clinical trials. Starting at protocol development, the team collaborates to define critical‑to‑quality factors, design fit‑for‑purpose quality strategies, and enable ongoing oversight through centralized monitoring and data‑driven risk management.

The RBQM Data Scientist supports central monitoring and risk‑based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre‑defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies.

• Implement and maintain pre‑defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies.
• Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis‑ready SAS datasets.
• Run routine and ad‑hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review.
• Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient.
• Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes.
• Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics.

Education & Experience

• PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related…