Elevate real-world data analysis as a Senior Data Scientist at Syneos Health. This role is limited to candidates in the US, Canada, and UK, without sponsorship available.
The ideal candidate will have extensive experience with programming and specific datasets like eHR and claims databases. Proficiency in tools such as SAS, R, and SQL is required, as well as understanding statistical models like Cox regression and propensity score matching.
Key Responsibilities:
• Undertake programming and data review for analytical insights
• Collaborate with epidemiologists for protocol assessments
• Implement ICD knowledge in task execution
• Contribute to programmatic cohort and index definitions
• Leverage OMOP Common Data Model for healthcare data
Requirements:
• Bachelor’s or master’s in a relevant scientific field
• Strong programming background in SAS, R, or Python
• Excellent communication skills in English
• Ideal: Experience with GitHub version control