AstraZeneca’s Innovative Medicines & Early Development organisation (IMED) is seeking a leader who will position data, AI, digital and hypothesis free discovery at the heart of drug discovery and development. We are looking for a talented individual to come in as the most senior IMED Data Science leader to drive and shape this change.
This is an unique role with responsibility for creating and maintaining a sustainable group to support our ongoing growth and the rapidly changing drug discovery and development pathway. The Head of IMED Data Science is accountable for building a leading AI platform including knowledge graphs and defining the bioinformatics expertise critical to the support of our therapy areas and genomics initiative. The successful individual is likely to have proven expertise in defining data strategies and delivering capabilities covering:
The jobholder is responsible for providing internal and external scientific, technological, computational expertise and strategic thinking for drug discovery & development programmes, operational and business problems to enhance the utilization and exploitation of data & analytics in evidence-based decision making. The jobholder is accountable for the initial evaluation of the advances but also the solution delivery to the organisation to ensure true business benefit.
The role will need to establish a cross IMED data strategy including the organisation of key data types and the standardisation and deployment of core metadata and masterdata standards defining these data types, aligned, where appropriate, with wider Science, Enterprise and external data standards and ontologies. The role will need to establish and operate the appropriate access, retention, privacy and use controls around IMED data. In addition, a data quality framework for adherence across IMED processes, involving data generation and processing will need to be established.
The role is accountable for driving the identification, development and implementation of cutting-edge advances in the various fields of data science, AI, Machine Learning and Knowledge Management. The role is also accountable for recruiting, developing and integrating expertise to support these activities on a global basis within IMED and will have well-recognised external presence in at least one domain.
The job holder must have credible and wide-ranging external profile and ability to attract and retain talent in this extremely niche and highly competitive area. The pace of innovation in data and analytics is substantial, and the job holder is responsible for ideation and execution of innovative projects that drive significant value into the IMED and broader AZ organisation. To that end the successful candidate must be adept at forging collaborative relationships and integrating data strategies across all areas of IMED, IT and wider AZ organisation.
Reporting to the EVP, IMED and Business Development, the IMED Head of Data Science and Artificial Intelligence will be accountable for:
Skills and Knowledge
For more information about the position please contact the IMED Talent Scout, Tarquin Bennett-Coles on firstname.lastname@example.org with your application no later than January 30th, 2019.
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We aim to be flexible, responsive, open and honest and look for people from companies who share our collaborative spirit and high scientific standards. AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.