Data Engineer
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Must Haves:At least 5 years' experience in a consultative, client-facing roleAt least 5 years' experience using SQL, R or python programming against large relational databases leveraging interoperable-linked, patient-level data at scaleHealthcare data expert across various data types (e.g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e.g. ICD, CPT, HCPCS, CVX, LOINC, NUCC, NPPES, etc.)Experience evaluating fit-for-purpose data and deriving RWD insights to inform business decisionsExperienced applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, , commercial, public healthExcellent communicator who is able to explain complex analytical approaches in layman terms.Graduate degree in Epidemiology, Biostatistics, Clinical Informatics, Statistics or related quantitative fieldShould have experience pulling data for a large LS company - over $20B in commercial revenue preferred