Lead Real-World Data & Epidemiology Programmer

Cytel; Lansing (MI); Vor Ort; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

Cytel Inc. is seeking an experienced Real-World Evidence analytics professional to support epidemiology efforts using large RWD sources such as claims and EHR data. You will design analyses, code algorithms, and link datasets under supervision, contributing to regulatory and safety deliverables with cross-functional collaboration.

The role emphasizes advanced statistical methods, rigorous data management, and clear communication to stakeholders for timely project delivery.

Qualifikationen

• Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics, or economics plus 5+ years in RWE analytics.
• Strong SQL skills; SAS or R proficiency required.
• Experience with large real-world data sources (Claims and/or EHR) and data extraction.
• Familiarity with causal inference and statistical modeling (OLS, Cox, logistic, Kaplan–Meier).

Aufgaben

• Provide support to Epidemiology by preparing Real World Data and advising on analytic strategies.
• Program and conduct statistical analyses under supervision.
• Create data codes, algorithms, data linkage, and use statistical packages.
• Support data standardization, visualization, and reporting of observational data.
• Partner with Epidemiologists to manage internal and external stakeholders.
• Prioritize and manage work across multiple projects.
• Communicate effectively to ensure timely project delivery.
• Solve technical problems using expertise.

Kenntnisse

SQL proficiency

R proficiency

SAS proficiency

Data analysis

Project management

Communication

Ausbildung

Master’s degree or PhD in related field

5+ years real-world analytics experience

Tools

SQL

SAS

R

Jobbeschreibung

Cytel Inc. is seeking an experienced Real-World Evidence analytics professional to support epidemiology efforts using large RWD sources such as claims and EHR data. You will design analyses, code algorithms, and link datasets under supervision, contributing to regulatory and safety deliverables with cross-functional collaboration.

The role emphasizes advanced statistical methods, rigorous data management, and clear communication to stakeholders for timely project delivery.