About the Graduate Programme This is an amazing opportunity to progress your career with one of the largest and most successful bio pharma organisations in the world. A significant number of graduates who have previously completed the graduate programme at the Pfizer Ringaskiddy site have gone on to have very successful careers in Pfizer both at local site and global levels. The site has a strong coaching culture, and a structured mentoring programme is provided. Full training will be provided by a comprehensive induction programme. During the two-year programme, participants will be involved in:

• One-year induction programme
• Structured mentoring & coaching – objective setting during each assignment.
• Attend management training programmes.
• CPD 6 module professional training programme.
• Attend and present at Senior Executive meetings e.g., communications meetings, cross site teams, leadership team meetings.
• Support cost improvement projects for key API manufacture processes.
• Lead and support various data science business improvement projects

Responsibilities

• Build on the current Data Analytical site strategy on the Ringaskiddy Digital Roadmap
• Design and implementation of advanced analytical models that support business process improvements
• Provide high quality data science support in the identification and implementation of Continuous Improvement opportunities in improving site performance
• Collaborate with Process Centric Teams and key site stakeholders to understand the technical business applications and apply modelling techniques to improve effectiveness, efficiencies and decision-making quality
• Build onsite data analytics capability of users on tools through training and supporting the delivery of Continuous Improvement projects
• Develop and sustain the Pfizer data aggregation platform (Tibco Statistica Informa) for process control and data analysis
• Provide SME support to local Data viewer/consumers
• Provide data science support when required during investigations, new process introduction or change implementation
• Delivery of routine statistical support to assure continued compliance within the general expectations of cGMPs for products manufactured (Continued Process Verification, & APQR)
• Stay abreast of industry 4.0 trends and developments in AI/ML

Requirements

• Be completing or just completed an honours Degree or MSc. in Mathematical Science / Data Science/ Data Analytics
• Strong experience in the use of statistical tools, analytical methodologies and programming languages (Visual Basic Object oriented programming, SQL, R, Python, Visual Basic etc.)
• Strong technical, analytical and problem solving skills with ability to make timely decisions
• Have a willingness to learn and be challenged

Benefits

• 23-month contract with Competitive Salary plus Bonus Schemes, Healthcare, Pension, Share Scheme, Long Term Income Protection and Life Assurance.
• An on-site role based on our vibrant Ringaskiddy API Campus with the opportunity for flexible working arrangements.
• Free parking or you can sign up to our shuttle bus service between Campus and Cork City.
• Ringaskiddy is close to Cork City and offers onsite gym, health & wellness programs, employee development programs, subsidized canteen and many more benefits for you to enjoy!
• Initial accommodation finding support.

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