At AstraZeneca, we’re not afraid to do things differently. We’re building a new kind of organisation to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening up new ways to work, pioneering cutting edge methods and bringing unexpected teams together.

As a Data Scientist within our Operations Quality function you will work with meaningful data to generate impactful evidence and insights on our Operations Quality System and the impact Quality System performance is having on our wider Operations and Enterprise goal. You will support advances in understanding of our Global Business Processes and enable Business Process Owners to drive targeted improvement activities to meet and exceed wider Operations business priorities.

You will collaborate with peers across the organization to develop data science generation strategies, identify gaps and data sources, design and execute studies, and implement analyses to address business and product related questions. The data will be varied in type, covering Quality System, Manufacturing, Forecasting, Financial, HR and Health & Safety Data across Late Stage Drug Development and into Commercial Manufacturing.

The purpose of Operations Quality Business Intelligence Team is to partner across the AstraZeneca Operations Organization to improve data capture, management, reporting and analytics.

Our ambition is to provide world-class Business Intelligence and Advanced Analytics delivery that accelerates improvements and enables Strategic Decision Making.

The evidence and insights you generate will be used to inform product and quality system improvement strategies and initiatives that shape AstraZeneca's Data & Analytics approaches. This will require a good understanding of the pharmaceutical and healthcare environments, as well as strong scientific and technical data science expertise.

You will need strong strategic, collaboration and communication skills, as well as an entrepreneurial mindset, to transform the way we use data and analytics to develop and deliver medicines for our patients, and partner with cross-functional teams and external partners.

Your previous experience with Data Science in either a commercial or pharmaceutical environment will support your ability to deploy data science solutions across our Operations business.

Key Accountabilities

In this role you will:

• Identify advanced analytics needs and recommend data solutions – you will do this by asking the right scientific questions, understanding the data requirements and making recommendations on fit-for-purpose operational solutions.
• Develop strategic plans to access internal cross functional data sources to support advanced analytics needs, and gain access to data through collaboration and data generation.
• Develop a comprehensive and deep understanding of the data we work with and foster learning with colleagues to broaden data accessibility and advance our proficiency/efficiency in understanding and using the data appropriately.
• Stay current with emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches.
• Produce high quality analyses by applying rigor in design and analytical methods; planning for data processing; designing a fit-for-purpose analysis plan, assessing effective ways of presenting the results to maximize impact; ensuring compliance with applicable pharma industry regulations and standards.
• Communicate findings to internal partners, and wider business communities
• Collaborate and contribute to internal and external data science communities, networks, collaboratives, initiatives or goals on knowledge-sharing, methodologies, innovations, technology, IT infrastructure, policy-shaping, processes, etc. to enable broader and more effective use of data and analytics to support the business.

Essential Requirements:

• Msc, or PhD (desirable) degree in a quantitative discipline - equivalent experience will be considered
• Previous experience working in a commercial/operational environment
• Experience of deploying and delivering operational data science models
• Proficiency in statistical programming languages (R, Python, etc.)
• Experience implementing advanced Analytics approaches (machine learning, longitudinal data analysis, etc.)
• Experience with technologies required to undertake analyses on large data sources or with computationally intensive steps (SQL, parallelization, Hadoop, Spark, etc.)
• Experience producing interactive outputs (Shiny, etc.)
• Contributor to open source packages, libraries or functions
• Experience implementing reproducible Research practices like version control (e.g.,using Git) and literate programming
• Demonstrable track record of developing and execution of data science projects
• Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges

Date Posted

16-Jul-2020

Closing Date

27-Jul-2020

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.