Senior Real-World Data Programmer - Epidemiology

Cytel; Helena (MT); On-site; USD 120,000 - 160,000; Full time

Job summary

Cytel is seeking a senior epidemiology data scientist to support the Epidemiology team with Real World Data (RWD) analytics and data standardization. You will program and conduct statistical analyses under supervision, linking datasets and using SAS/R for complex models.

Role emphasizes collaboration with internal/external stakeholders, rigorous study design, and clear communication of results. Prior experience with large RWD sources and regulatory/clinical development context is valued.

Qualifications

• Requires Master’s degree or PhD in epidemiology/biostatistics/related field and 5+ years of RWE analytics experience.
• Proficient in SQL; SAS or R required.
• Deep expertise analyzing RWE data sources (Optum Clinformatics Datamart, Truveta, UK Biobank).
• Experience with clinical trial or registry data desirable.

Responsibilities

• Assist in development of study protocols and analysis plans using large real-world data sources (Claims/EHR).
• Liaise with data vendors for data extracts aligned to study protocols.
• Create analytical databases to support analyses and reporting.
• Conduct analyses per study protocols and analysis plans.
• Produce tables/figures for investigators, clients, and study reports.
• Present results internally and to clients.
• Assist in preparation of study reports and deliverables.
• Possible supervisory responsibilities in the future.

Skills

SQL

SAS & R

Epidemiology

RWE analytics

Data visualization

Stakeholder management

Communication skills

Education

Master’s or PhD in Epidemiology/Biostatistics/related field

Tools

Clinformatics Datamart

Truveta

UK Biobank

Relational databases

Job description

Cytel is seeking a senior epidemiology data scientist to support the Epidemiology team with Real World Data (RWD) analytics and data standardization. You will program and conduct statistical analyses under supervision, linking datasets and using SAS/R for complex models.

Role emphasizes collaboration with internal/external stakeholders, rigorous study design, and clear communication of results. Prior experience with large RWD sources and regulatory/clinical development context is valued.