In this role you will join our FSP team and will work in support of the Epidemiology and Value Evidence Strategy teams within our client, a top pharmaceutical company. **Note: Experience with non-US (UK CPRD, UKBB, EU THIN, JMDC) databases and linked claims/EHR are a must have.** You will contribute by: + 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. What we’re looking for: + 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.