onsite
Principal Clinical Data Scientist - Edwards Lifesciences
Data Scientist
Lead advanced analytics and evidence generation for cardiovascular innovations, leveraging Python, R, SQL, and machine learning to deliver robust clinical insights that inform regulatory strategy and improve patient outcomes.
About the role
Key Responsibilities
- Design and execute complex statistical and machine learning models on large clinical datasets to generate evidence of safety and effectiveness.
- Collaborate with principal investigators, clinicians, and patient advocacy groups to define study objectives and data requirements.
- Prepare high‑impact scientific manuscripts, regulatory submissions, and presentations for stakeholders.
- Lead data quality initiatives, ensuring integrity, reproducibility, and compliance with regulatory standards.
- Mentor junior analysts and foster a culture of continuous learning and methodological rigor.
Requirements
- PhD or MD/PhD in Biostatistics, Epidemiology, or related field with 10+ years of experience in clinical data science.
- Proficiency in Python, R, and SQL for data manipulation, modeling, and reporting.
- Deep knowledge of clinical trial design, biostatistics, and regulatory requirements (FDA, EMA).
- Experience applying machine learning techniques to real‑world evidence and clinical datasets.
- Excellent communication skills, able to translate complex analyses into clear, actionable insights.
Skills
pythonsqlmachine learning