Position Details
About this role
Support oncology real-world data initiatives by analyzing complex datasets, developing data pipelines, and extracting clinical insights to enable impactful research and commercial applications.
Key Responsibilities
- Analyze complex RWD assets
- Develop data pipelines
- Extract clinical insights
- Collaborate with cross-functional teams
- Ensure data quality
Technical Overview
This role involves working with big data, data analysis, machine learning, and clinical data management, utilizing SQL, Python, R, and data warehousing tools in a hybrid environment.
Ideal Candidate
The ideal candidate is a mid-level data scientist with expertise in big data, data analysis, and machine learning, preferably with healthcare or clinical data experience. They are collaborative, detail-oriented, and skilled in building data pipelines and models.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with healthcare or clinical data, No proficiency in SQL, Python, or R, Unwilling to work in a hybrid location, No experience with data pipelines or warehousing
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