Must have a Masters in engineering, computer science, physics, mathematics, business analytics, quantitative life sciences, or related field & 2 years of work experience as a data engineer, systems engineer, or similar role in a commercial biopharma environment with each of the following: extracting & combining multiple internal & external data sets; onboarding, consolidating, cleansing, & structuring data for efficient use in reports, analytical applications, & machine learning models; pressure-testing data requirements to ensure accurate & meaningful data delivery; performing data analysis & reconciliation on datasets of varying sizes & complexities; compiling, presenting & explaining data, in writing & orally, to business stakeholders, peers & senior management; &. Of the experience required, must have 5 years with each of the following: extracting & combining multiple internal & external data sets; onboarding, consolidating, cleansing, & structuring data for efficient use in reports, analytical applications, & machine learning models; pressure-testing data requirements to ensure accurate & meaningful data delivery; performing data analysis & reconciliation on datasets of varying sizes & complexities; compiling, presenting & explaining data, in writing & orally, to business stakeholders, peers & senior management; &.