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 systems
* Sourcing and verify process data from paper records and database systems (LIMS, Qumas, OPM, Historian) to support data monitoring needs in a timely and efficient manner
* Working with cross-functional departments to ensure process data are being used to improve process understanding and facilitate continuous improvement opportunities
* Supporting the development of automated solutions that address specific analytical objectives and facilitate report generation and distribution of analyses
* Running quality system events pertaining to data integrity and data management such as investigations, CAPAs, and change controls
* Applying data visualisation tools to translate data into useful information for operations managers and process engineers
* Analysing data sources and develop strategies and solutions for data acquisition, aggregation, and reporting
* Leading cross functional teams in technical investigations to resolve process issues and identify process improvements. Present findings at interdepartmental forums
* Providing audit and regulatory submission support where applicable
* Providing coaching and mentoring to junior members of the team
This role might be for you if:
* You have strong communication and interpersonal skills
* You possess logical troubleshooting and problem-solving skills
* You have a proven track record to communicate effectively with multiple partners
* You have strong mathematics and statistical skills, enabling you to analyse complex data
To 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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