Lead Real-World Data Epidemiology Programmer

Cytel; Santa Fe (NM); On-site; USD 120,000 - 180,000; Full time

Job summary

Cytel seeks a senior professional to advance Real World Evidence analytics for pharmaceutical research. You will engage with epidemiologists and statisticians to design analyses, leverage large RWD sources such as claims and EHR datasets, and assist in datasets creation and study reporting.

The role requires strong SQL and SAS or R skills, plus the ability to communicate findings clearly to internal teams and clients. Supervisory potential may emerge as projects scale.

Qualifications

• Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics or economics; 5+ years RWE analytics experience.

Responsibilities

• Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR)
• Liaise with data vendors to obtain relevant data extracts for research studies
• Create analytical databases from data extracts to facilitate conduct of data analyses
• Conduct analyses consistent with methods in study protocols and analysis plans
• Produce tables and figures for discussions with investigators, clients, and study reports
• Present results internally and to clients
• Assist in the preparation of study reports
• May have supervisory responsibilities in the future

Skills

SQL proficiency

SAS or R proficiency

Project management

Communication skills

Data analysis

Education

Master’s or PhD in epidemiology/biostatistics/statistics/bioinformatics/economics

Tools

SQL

SAS

R

Job description

Cytel seeks a senior professional to advance Real World Evidence analytics for pharmaceutical research. You will engage with epidemiologists and statisticians to design analyses, leverage large RWD sources such as claims and EHR datasets, and assist in datasets creation and study reporting.

The role requires strong SQL and SAS or R skills, plus the ability to communicate findings clearly to internal teams and clients. Supervisory potential may emerge as projects scale.