Senior Real-World Data & Epidemiology Programmer

Cytel; Honolulu (HI); On-site; USD 130,000 - 180,000; Full time

Job summary

Cytel Inc. in Hawaii is seeking an advanced epidemiology/data science professional to support Real World Data analytics, data standardization, and reporting. You will collaborate with epidemiologists, statisticians, and stakeholders to drive study designs and analyses across multiple projects.

The role requires 5+ years of RWE experience, strong SQL, and SAS/R skills, with a focus on data extraction, analysis, and effective communication of results to clients and internal teams.

Qualifications

• Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics, or related field with 5+ years of real-world evidence analytics experience in pharma, CRO, or academia.
• Proficiency in SQL is required; SAS or R proficiency is required.
• Deep expertise analyzing RWE data sources (e.g., Optum, Truveta, UK Biobank) is highly preferred.
• Familiarity with relational databases and claims/EHR data layouts.

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 data analyses.
• Conduct analyses per 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 preparation of study reports; may have supervisory responsibilities in the future.

Skills

SQL

SAS/R

RWE analytics

Data analysis

Problem solving

Communication

Project management

Education

Master’s or PhD in epidemiology/biostatistics

Tools

SQL

SAS

R

Job description

Cytel Inc. in Hawaii is seeking an advanced epidemiology/data science professional to support Real World Data analytics, data standardization, and reporting. You will collaborate with epidemiologists, statisticians, and stakeholders to drive study designs and analyses across multiple projects.

The role requires 5+ years of RWE experience, strong SQL, and SAS/R skills, with a focus on data extraction, analysis, and effective communication of results to clients and internal teams.