Senior Real-World Data Analytics Programmer

Cytel; Jackson (MS); On-site; USD 120,000 - 180,000; Full time

Job summary

Cytel is seeking an experienced scientist to advance Real World Evidence analytics in a collaborative epidemiology team. You will work with large data sources, write analytical programs, and support regulatory and safety documentation through rigorous observational analyses.

The role emphasizes data standardization, visualization, and reporting, with interactions across Medical Affairs, Safety, and Clinical Development. You will mentor colleagues and drive timely study deliverables.

Qualifications

• Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics, or related field with 5+ years RWE analytics experience.
• Proficiency in SQL; SAS or R required.
• Experience with RWE data sources (Optum Clinformatics Datamart, Truveta, UK Biobank).
• Knowledge of relational databases and claims/ancillary file layouts.

Responsibilities

• Provide support to Epidemiology by preparing Real World data and advising on analysis strategies.
• Program and conduct statistical analyses with data coding, algorithms, and data linkage.
• Support data standardization, visualization, and reporting of observational data.
• Support Medical Affairs, Global Patient Safety, and Clinical Development with observational analyses and safety background rates.
• Partner with Epidemiologists to manage stakeholder relationships and prioritize multi-project work.
• Communicate clearly to ensure timely project delivery and solve technical problems.

Skills

SQL

SAS

R

Education

Master’s degree or PhD in epidemiology/biostatistics/biomedical informatics

Tools

Clinformatics Datamart

Truveta

UK Biobank

Job description

Cytel is seeking an experienced scientist to advance Real World Evidence analytics in a collaborative epidemiology team. You will work with large data sources, write analytical programs, and support regulatory and safety documentation through rigorous observational analyses.

The role emphasizes data standardization, visualization, and reporting, with interactions across Medical Affairs, Safety, and Clinical Development. You will mentor colleagues and drive timely study deliverables.