Manager Statistics & Data Science MS&T

Manager Statistics & Data Science MS&T

Jazz Pharmaceuticals

Dublin or Remote, Ireland

Brief Description

• The position reports to the Associate Director Statistics and Data Science MS&T
• The Manager Statistics and Data will provide statistical and data interpretation support to the wider MS&T function.
• The position will be responsible for supporting the implementing of data harvesting, cleansing and analysis.
• The position supports the training amongst the wider MS&T function as directed by the Associate Director Statistics and Data Science.

Essential Functions/Responsibilities

• Demonstrated proficiency in scientific creativity, collaboration with others and independent thought in suggesting experimental design to support;
• Provide support to CMC regulatory requirements for pharmaceutical products and the evolving opportunities offered by application of QbD principles;
• Works to the guidelines set out in the Product team charter;
• Clearly and effectively communicate ideas and results, written and verbal, to technical and non-technical audiences;
• Highly flexible, works well in a team environment, and has necessary skills to organize, mobilize, communicate, & influence;
• Demonstrated knowledge of a wide range of statistical techniques and tools, with demonstrated experience of applying them with in the pharmaceutical industry;
• Proven ability to identify and implement data analytical enterprise solutions in support of investigation, routine trending, and Continued Process Verification.

Required Knowledge, Skills, and Abilities

• Experience of statistical tools and data analytics that are employed in pharmaceutical industry;
• Excellent organizational, verbal, communication, presentation, and data analysis skills;
• Ability to effectively participate on multi-disciplinary teams;
• Strong understanding of project management processes, risk management processes, pharmaceutical quality management systems and pharmaceutical regulations;
• Proven track record of using enterprise systems in support of process trending, investigations, and continued process verification.

Required/Preferred Education and Licenses

• BSc in life sciences or engineering;
• Advanced degree (MSc, PhD) desirable;
• Minimum 5 years working in the pharmaceutical industry in technical and/or process statistical role;
• Experience working in cross functional teams in a pharmaceutical industry environment;
• Record of achievement in pharmaceutical manufacturing environment.

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