Principal Statistical Programmer – FSP, RWD/EPI

This is a fully remote position, open to applicants in New York.

📋 Description

• Assisting the Epidemiology team by preparing Real World data, providing guidance on data analytic strategies, and supporting stakeholders in various epidemiological analytic initiatives.

• Programming and conducting statistical analyses under the guidance of epidemiologists/statisticians, including data coding, algorithm creation, dataset linkage, and utilizing statistical packages or platforms.

• Aiding in statistical programming to develop innovative methods for data standardization, visualization, and reporting of observational data.

• Supporting Medical Affairs (e.g., observational studies utilizing RWD); Global Patient Safety and Risk Management (e.g., conducting analyses to obtain background rates) for the creation of regulatory/safety documents, as well as Clinical Development (e.g., evaluating patient populations/protocol feasibility).

• The role will collaborate with Epidemiologists to maintain relationships with both internal and external stakeholders.

• Ability to prioritize and manage responsibilities across multiple projects and stakeholder engagements.

• Delivering effective communication to ensure successful and timely project execution.

• Resolving technical challenges using relevant experience and expertise.

⛳️ Requirements

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

• Intermediate to expert 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 with clinical trial and/or registry data analysis is preferred.

• Familiarity with relational databases and a solid understanding of claims and ancillary file structures.

• 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.

• Strong project management skills; capable of prioritizing various tasks and objectives to ensure timely completion.

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

• Excellent written and verbal communication abilities. Highly effective in summarizing and presenting key insights and evidence.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and advancement.

• Flexible working hours and remote work options.

• Supportive and inclusive company culture.