Senior Programmer – RWD/EPI

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Provide assistance to the Epidemiology team by preparing Real World data, offering guidance on data analytic strategies, and supporting stakeholders in epidemiological analytic tasks.

• Program and perform statistical analyses under the guidance and supervision of epidemiologists/statisticians, which includes data coding, algorithm development, dataset linkage, and utilizing statistical software or platforms.

• Support statistical programming aimed at data standardization, visualization, and reporting of observational data.

• Aid Medical Affairs, Global Patient Safety and Risk Management, and Clinical Development initiatives that involve RWD and observational studies.

• Collaborate with Epidemiologists to maintain relationships with both internal and external stakeholders.

• Prioritize and manage tasks across various projects and stakeholders.

• Deliver strong communication to ensure successful and timely project outcomes.

• Address technical challenges using relevant experience and expertise.

• Assist in the creation of study protocols and analysis plans utilizing extensive RWD sources (Claims and/or EHR).

• Coordinate with data vendors to obtain necessary data extracts.

• Develop analytical databases from the data extracts.

• Execute analyses in accordance with study protocols and analysis plans.

• Generate tables and figures for investigators, clients, and study reports.

• Present findings internally and to clients.

• Aid in the preparation of study reports and other deliverables.

• May have supervisory responsibilities in the future.

⛳️ Requirements

• Master’s degree or PhD in a relevant field (epidemiology, biostatistics, statistics, bioinformatics, economics) along with 5+ years of experience in conducting RWE analytics within the pharma industry, CRO, or academic institution.

• Intermediate to expert-level proficiency in SQL is essential. Additionally, proficiency in SAS or R is required.

• Extensive expertise in analyzing RWE data sources such as Optum (Clinformatics Datamart® and Market Clarity), Truveta, and UK Biobank.

• Experience in analyzing clinical trial and/or registry data is necessary.

• Familiarity with relational databases and a proficient understanding of claims and ancillary file layouts.

• Experience with applied statistics, including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting.

• Excellent project management abilities; adept at prioritizing multiple tasks and goals to ensure timely completion.

• Confident and proficient in interactions with internal and external stakeholders.

• Strong written and verbal communication skills; highly effective at summarizing and presenting key considerations and evidence.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and continuing education.

• Flexible work arrangements to promote work-life balance.