Within this role you will be responsible for utilising scientific principles to provide data and analytical support to establish, organise and maintain effective data co-ordination and data evaluation services pertaining to process monitoring and modelling of biological drugs.As a Senior Process Data Scientist a typical day might include, but is not limited to, the following:Supporting the implementation, expansion, and continuous improvement of Regeneron’s process monitoring programs and systemsSourcing and verify process data from paper records and database systems (LIMS, Qumas, OPM, Historian) to support data monitoring needs in a timely and efficient mannerWorking with cross-functional departments to ensure process data are being used to improve process understanding and facilitate continuous improvement opportunitiesSupporting the development of automated solutions that address specific analytical objectives and facilitate report generation and distribution of analysesRunning quality system events pertaining to data integrity and data management such as investigations, CAPAs, and change controlsApplying data visualisation tools to translate data into useful information for operations managers and process engineersAnalysing data sources and develop strategies and solutions for data acquisition, aggregation, and reportingLeading cross functional teams in technical investigations to resolve process issues and identify process improvements. Present findings at interdepartmental forumsProviding audit and regulatory submission support where applicableProviding coaching and mentoring to junior members of the teamThis role might be for you if:You have strong communication and interpersonal skillsYou possess logical troubleshooting and problem-solving skillsYou have a proven track record to communicate effectively with multiple partnersYou have strong mathematics and statistical skills, enabling you to analyse complex dataTo be considered for this opportunity you should have a BS/BA or equivalent experience in mathematics/statistics, or related field with 5+ years’ experience; or equivalent combination of education and experience. Experience in a biopharmaceutical cGMP manufacturing setting an advantage.
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