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Standort: Gaithersburg, Maryland, USA Cambridge, England, Vereinigtes Königreich
Anzeigen-ID: R-062637
Veröffentlichungsdatum: Nov. 01, 2019

Data Science Learning Director

Cambridge (UK) Gaithersburg (US) or Gothenburg (Sweden)

Salary – Competitive salary and company benefits apply

Would you like to be a part of a Data Science & Artificial Intelligence (DS&AI) group who has direct strategic impact on drug development, playing a key role in getting medicines to patients?

At AstraZeneca, we are constantly pushing the boundaries of science to deliver life-changing medicines to patients, with a real passion for discovery and a pipeline to show for it. Here, you’ll have the opportunity to make a difference in people’s lives every single day.

The Data Science & AI (DS&AI) team collaborates across R&D to drive innovation through data science and AI. Together we aim to:

  • Improve our understanding of disease and uncovering new targets
  • Transform R&D processes
  • Speed the design and delivery of new medicines for patients

The newly formed R&D Data Science Learning & Development function will uplift the level of data science capabilities across R&D, ensuring that all can benefit from a centralized approach to these critical areas. The team will focus on both senior leaders and  project teams  to ensure strong partnership, capability development for solid data science foundations, DS&AI learning opportunities and extending Data Science communities for knowledge sharing, ideation and social learning.

As part of the R&D Data Science Learning & Development team, the Data Science Learning Director will be an integral part of the team ensuring the long-term success of data science at AstraZeneca. The role holder will be responsible for developing and delivering a centralized approach to Data Science learning in R&D. Working across R&D and capability functions to design and deliver the optimal education programme for R&D leaders, scientists and data science practitioners within an enterprise framework. This role will be key change influencer, driving organization required to enable successful and sustained adoption of DS&AI by supporting the data-first strategy.

Main Duties and Responsibilities

  • Develop a clear strategy for engagement and data science learning across R&D, with specific attention to senior leaders (SET-1 & SET-2) and high influencers.
  • Create a centralized approach to data science learning for all levels of the R&D organization, aligned with Enterprise Digital Strategy and needs of R&D Data Science Leaders
  • Bring data science learning to senior leaders and scientists, to inspire and gain commitment for the data-first agenda and encourage strong partnership with DS&AI
  • Develop and oversee a sustainable education framework which includes experiential learning, mentoring and courses
  • Ensure awareness of education and learning offerings across data science communities, which translates into energy and excitement within those communities and high participation and completion rates
  • Influence the work of colleagues across R&D, creating a network of R&D trainers to realize the objectives of Data Science Learning in R&D
  • Identify and manage external vendors and experts for software tools, education materials and delivery, managing associated budget
  • Develop deep knowledge of DS&AI functions and portfolio of work, to articulate appropriately with R&D leaders and project teams and support DS&AI leaders in their interactions
  • Develop metrics to measure and monitor impact, and report to governance committees on success, risk and mitigations
  • Develop strong connections across functions to ‘spoke’ data science teams and Science IT

Essential Requirements

  • BSc in a Life Science, Computer Science or equivalent experience
  • Experience with implementing large-scale awareness campaigns and education programmes
  • Knowledge of the psychology of motivation and behavioral influence in change management
  • Experience of working in a complex global organization
  • Experience of influencing and controlling budgets
  • Proven ability to manage senior stakeholders
  • Life-long-learner with experience of multiple modes of learning and awareness of MOOCs and data science educational offerings
  • Excellent communication skills and facilitation skills

Next Steps – Apply today

#DataAI

To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience, including a covering letter that outlines your interest in this role – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity.  If you know someone who would be a great fit, please share this posting with them.

Data Science Learning Director
Data and AI

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