Senior RWD Epidemiology Programmer – Pharma Analytics

Cytel; Frankfort (KY); On-site; USD 110,000 - 150,000; Full time

Job summary

Cytel is seeking an experienced epidemiology data scientist to support Real World Evidence analytics. You will design and execute analyses on large data sources (Claims/EHR), develop study protocols, and generate tables and figures for internal and client discussions.

You will liaise with data vendors, build analytical databases, and present results while collaborating with epidemiologists, statisticians, and Medical Affairs to support regulatory and safety documents.

Qualifications

• Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics or related field with 5+ years of RWE analytics experience
• Strong proficiency in SQL; SAS or R required; experience with data wrangling and regulatory considerations.

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 consistent with study protocols
• Create analytical databases from data extracts to facilitate conduct of data analyses
• Conduct analyses consistent with methods set forth in study protocols and analysis plans
• Produce tables and figures for discussions with other investigators, clients, and for study reports
• Present results internally and to clients
• Assist in the preparation of study reports and other deliverables
• May have supervisory responsibilities in the future

Skills

SQL

SAS

R

Data visualization

Project management

Communication

Education

Master’s degree or PhD in epidemiology/biostatistics/related field

Tools

Clinformatics Datamart

Truveta

UK Biobank

Job description

Cytel is seeking an experienced epidemiology data scientist to support Real World Evidence analytics. You will design and execute analyses on large data sources (Claims/EHR), develop study protocols, and generate tables and figures for internal and client discussions.

You will liaise with data vendors, build analytical databases, and present results while collaborating with epidemiologists, statisticians, and Medical Affairs to support regulatory and safety documents.