Senior Analyst, Statistics & Data Science, MS&T (Remote)

at  Jazz Pharmaceuticals

IF YOU ARE A CURRENT JAZZ EMPLOYEE PLEASE APPLY VIA THE INTERNAL CAREER SITE.

Jazz Pharmaceuticals plc (NASDAQ: JAZZ) is a global biopharmaceutical company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines and novel product candidates, from early- to late-stage development, in neuroscience and oncology. We actively explore new options for patients including novel compounds, small molecules and biologics, and through cannabinoid science and innovative delivery technologies. Jazz is headquartered in Dublin, Ireland and has employees around the globe, serving patients in nearly 75 countries. For more information, please visit www.jazzpharma.com and follow @JazzPharma on Twitter.

BRIEF DESCRIPTION:

• The position reports to the Associate Director Statistics and Data Science MS&T
• The Senior Analyst Statistics and Data Science 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.

REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES

• Experience of statistical tools such as JMP, Minitab or SPSS, and applied statistics methods (regression, probability sampling, SPC, experimental design and stochastic simulation) that are employed in pharmaceutical industry.
• Excellent organizational, verbal, communication, presentation, and data analysis skills
• Ability to effectively participate on multi-disciplinary teams.
• Understanding of project management processes, risk management processes, pharmaceutical quality management systems and pharmaceutical regulations.
• Proven track record of using enterprise systems such as Discoverant, Tibco Data Sciences or other automated Statistical Process Control platforms in support of process trending, investigations, and Continued Process Verification.

REQUIRED/PREFERRED EDUCATION AND LICENSES

• BSc in life sciences, engineering, mathematics, or computer science.
• Advanced degree (MSc) desirable.
• Experience 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.
  Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law.
  The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: https://careers.jazzpharma.com/benefits.html

• Demonstrated proficiency in scientific creativity, collaboration with others and independent thought in suggesting experimental design to support.
• Under guidance of the lead statistician, 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 the ability to learn and deploy new statistical techniques and processes in the pharmaceutical industry.
• Proven ability to utilise data analytical enterprise solutions in support of investigation, routine trending, and Continued Process Verification.