Tom Diethe
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Science Leader @ AstraZeneca | Transforming Healthcare with AI
As the Executive Director and Head of the Centre for Artificial Intelligence at AstraZeneca, I have over 20 years of experience in applying machine learning and AI to solve tough problems with social impact. My mission is to transform the future of healthcare by unlocking the power of AI-powered science for people, society, and planet. I lead a team of talented researchers and engineers who build cutting-edge AI systems, partner with therapy areas to push the boundaries of science, and connect teams to our systems, expertise, and education. We leverage our skills in machine learning and AI to deliver innovative solutions that improve drug discovery, development, and delivery. I also collaborate with academic institutions and industry partners to advance the state of the art in AI and healthcare.
UCL
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2006 – January 1, 2010
UCL
MSc, Intelligent Systems (Computer Science)
January 1, 2005 – January 1, 2006
University of Bristol
BSc, Experimental Psychology
September 1, 1996 – June 1, 2000
AstraZeneca
Executive Director, Head of the Centre for Artificial Intelligence
February 1, 2023 – Present
On-site
AstraZeneca
Senior Director
February 1, 2023 – May 1, 2023
On-site
University of Bristol
Honorary Research Fellow: Machine Learning and AI
September 1, 2017 – Present
Bristol, United Kingdom
Amazon
Applied Science Manager: Machine Learning
September 1, 2017 – January 1, 2023
Seattle, Washington, United States
University of Bristol
Research Fellow: Machine Learning for Digital Health
July 1, 2014 – July 1, 2017
Bristol, United Kingdom
Microsoft
Machine Learning Researcher
January 1, 2013 – July 1, 2014
Cambridge, United Kingdom
BMJ Publishing Group
Machine Learning Consultant
September 1, 2011 – December 1, 2012
BMA House, London
University College London
Post-Doctoral Research Associate
January 1, 2011 – September 1, 2011
University College London
Post-Doctoral Research Associate
June 1, 2010 – January 1, 2011
SWIMFORTRI LIMITED
Web Developer
February 1, 2009 – June 1, 2016
University College London
Doctoral Researcher
September 1, 2006 – February 1, 2010
London Area, United Kingdom · On-site
QinetiQ
Senior Software Engineer: Human Factors
June 1, 2001 – September 1, 2005
University of Bristol
Research Assistant: Human Factors
August 1, 2000 – May 1, 2001
DERA
Research Assistant: Human Factors
September 1, 1998 – September 1, 1999
SPHERE IRC
June 1, 2014 – Present
The EPSRC-funded SPHERE IRC has designed a multi-modal system driven by data analytics requirements. The system is under test in a single house, and will be deployed in a general population of 100 homes in Bristol (UK). The data sets collected will be made available to researchers in a variety of communities.
Good Clinical Practices
NIHR (National Institute for Health and Care Research)
June 24, 2026 – Present
Leader as a Coach
International Coaching Federation
June 24, 2026 – Present
Transitioning from Manager to Leader
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on advanced AI/ML research and leadership within large organizations (Amazon, AstraZeneca, Microsoft) and academia. The 'Data Analyst' target role appears to be a significant deviation from this path, which could indicate a desire for a different type of challenge or a more focused, hands-on data role. The project diversity is strong within the AI/ML domain, but less so for traditional data analysis tasks. The breadth of skills is exceptional in AI/ML, but the direct relevance to a typical 'Data Analyst' role (e.g., specific BI tools, advanced SQL for reporting, data warehousing specific to analytics) is not explicitly detailed, though their ML background implies strong data manipulation capabilities. The candidate's experience with data analytics requirements in the SPHERE IRC project aligns well with understanding the needs of data analysis.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and management skills from roles at AstraZeneca and Amazon, including managing teams, stakeholder management, and budget control. Experience as an 'interviewing bar raiser' suggests a commitment to high standards. The 'Leader as a Coach' and 'Transitioning from Manager to Leader' certifications indicate a focus on leadership development. The candidate's extensive research background suggests strong problem-solving and analytical capabilities. However, the target role is 'Data Analyst', which is a significant step down from their current and previous leadership roles in AI/ML. This might indicate a potential mismatch in operational expectations or a desire for a more hands-on, individual contributor role.