onsite
Principal Data Scientist - Oncology - J&J Family of Companies
Data Scientist
Lead advanced analytics for oncology drug development, driving AI/ML models, data pipelines, and statistical insights to accelerate clinical discovery and precision medicine.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine learning models to predict patient outcomes and biomarker associations in oncology trials.
- Lead end‑to‑end data engineering workflows, integrating multi‑omics, imaging, and electronic health record data into unified analytical platforms.
- Collaborate with cross‑functional teams (clinical, regulatory, product) to translate analytical findings into actionable clinical strategies.
- Mentor and coach junior data scientists, fostering a culture of rigorous statistical practice and reproducible research.
- Present complex insights to senior leadership, translating technical results into clear business and clinical impact.
Requirements
- PhD or MS in Statistics, Bioinformatics, Computer Science, or related field with 10+ years of industry experience.
- Expertise in Python, R, and SQL for data manipulation, model building, and performance optimization.
- Proven track record of deploying ML models in a regulated environment, with familiarity of FDA/EMA guidelines.
- Strong background in biostatistics, survival analysis, and clinical trial design.
- Excellent communication skills and ability to influence stakeholders across scientific and business domains.
Skills
pythonmachine learning