Principal Statistical Programmer FSP, Epidemiology RWE

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.