Senior Statistical Programmer FSP – 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 activities.

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

• Facilitate statistical programming for data standardization, visualization, and reporting of observational data.

• Support Medical Affairs, Global Patient Safety and Risk Management, and Clinical Development through observational studies, background-rate analyses, regulatory/safety documentation, and assessments of patient populations or protocol feasibility.

• Collaborate with Epidemiologists to manage relationships with internal and external stakeholders.

• Assist in the creation of study protocols and analysis plans using large claims or EHR real-world data sources.

• Coordinate with data vendors to acquire relevant research-study data extracts.

• Develop analytical databases from data extracts.

• Perform 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.

• Prioritize and manage tasks across various projects and stakeholders.

• Troubleshoot technical issues and support the successful and timely delivery of projects.

• May eventually have supervisory responsibilities.

⛳️ Requirements

• Master’s degree or PhD in a relevant field such as epidemiology, biostatistics, statistics, bioinformatics, or economics.

• Over 5 years of experience in conducting real-world evidence analytics for a pharmaceutical company, CRO, or academic institution.

• Intermediate to expert level proficiency in SQL.

• Proficiency in SAS or R.

• 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 preferred.

• Familiarity with relational databases.

• Strong understanding of claims and ancillary file layouts.

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

• Excellent project management skills with the ability to prioritize multiple tasks and objectives.

• Confidence and competence in interacting with both internal and external stakeholders.

• Strong written and verbal communication abilities.

• Capacity to summarize and effectively present key considerations and evidence.

🏝️ Benefits

• Opportunity to work on impactful projects in the field of epidemiology.

• Access to continuous learning and professional development resources.

• Collaborative work environment with a focus on innovation and excellence.