Principal Statistical Programmer, Epidemiology RWE

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Clinical Outcomes Solutions

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Patient Reported Outcomes • Health Economics and Outcomes Research • Clinical and Observational Research Design and Execution • Outcomes Regulatory Support • Statistics and Psychometrics

51 - 200 employees

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Description

• Providing support to the Epidemiology and Value Evidence Strategy teams by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities. • Partnering with Epidemiologists to manage relationships with internal and external stakeholders including Value Evidence Strategy and Safety. • Understanding, interpreting, and integrating data from various sources to ensure clinical/biological/regulatory questions can be answered appropriately with the available data. • Assisting in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EMR). • Creating statistical programs of high quality and well-documented data manipulation, analysis, outputs, and reports. • Extensive experience selection of databases, study protocol design, statistical analysis plan, inclusion/ exclusion criteria, definitions of exposures, outcomes and covariates by medical codes for observational studies. • Planning, understanding, managing expectations of stake holders in terms of project resourcing, feasibility, deliverables, and timeline. • Solving technical problems with experience and expertise.

Requirements

• Strong recent experience in evidence generation using RWE data (Optum Market Clarity, TriNetX, IQVIA, McKesson Compile or other type of data that link claims and EHR/EMR), ex-US RWDs such as UK CPRD, UKBB, EU Thin, JMDC, etc. • Familiarity with relational databases and proficient understanding of claims and ancillary file layouts. • Knowledge of 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 programming skills with SQL, SAS, R. • You can work independently and in a team. • You are confident, self-reliant, and a quick learner. • Good oral and written English communication skills are mandatory. • Preferred, but not required: A Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and relevant years of experience conducting RWE analytics for pharma industry, CRO. • Experience in burden of disease / HCRU / cost of illness, and/or pharmaco-epidemiological studies – please include publication in the resume.