Employer: Janssen Research & Development, LLCJob Title: Scientist, Data Science Analytics & InsightsJob Code: A011.3891Job Location: Titusville, NJJob Type: Full-Time Rate of Pay: $95,000 - $125,000Job Duties: Use innovative modeling and simulation methodologies to analyze Real World Evidence (RWE) and contribute to critical decision making including study design, dose selection, and adaptive designs. Lead and contribute to the development of modeling and simulation approaches to answer critical questions in clinical development. Lead and contribute to the development of artificial intelligence/machine learning models in healthcare, including disease identification, patient stratification, disease progression, and forecasting, based on RWE to provide key insights on pipeline assets. Demonstrate emerging scientific and technological developments to generate new research ideas, solutions and initiatives using RWD including but not limited to electronic health records, insurance claims, and registry data. Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making. Perform data analysis using RWE. Conceive, develop, and implement end-to-end data analytical solutions to non-routine, high-priority scientific problems. Work with large, sophisticated data sets. Design, build, and implement state-of-the art predictive models using a combination of statistical, mechanistic, signal processing, and machine learning approaches. Stay on the cutting edge of the data science field to invent and customize when necessary. Participate in cross-functional collaborations with external companies and internal scientific and data science teams.Requirements: Employer will accept a Master's degree in Biomedical Engineering, Machine Learning, Data Science, Biostatistics, or related field plus 1 year of experience in the job offered or a related occupation.May telecommute (requires 1-2 days onsite per month). CONTACT: To apply, please send resume to jkim6240@its.jnj.com. Please refer to Job #A011.3891.