Senior Research Fellow at University of Southampton
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Assessing your cultural and operational fit
Experienced Postdoctoral Researcher with skills in Machine Learning, Mathematical Modelling, Medical Imaging, Python, Biomedical Engineering and Clinical Research.
The Institute of Cancer Research
PhD, Medical Physics
January 1, 2003 – January 1, 2007
University of Surrey
MSc, Biomedical Engineering
January 1, 2002 – January 1, 2003
London South Bank University
BEng (Hons), Mechanical Engineering
January 1, 1998 – January 1, 2002
University of Southampton
Senior Research Fellow
January 1, 2024 – Present
The Alan Turing Institute
Senior Research Associate
March 1, 2021 – March 1, 2023
University of Southampton
Postdoctoral Researcher
February 1, 2020 – February 1, 2021
Astronomy Group
University of Surrey
Postdoctoral Research Fellow in Deep Learning
October 1, 2017 – February 1, 2020
University of Southampton
Postdoctoral Research Fellow
December 1, 2016 – October 1, 2017
Greater Southampton Area
University of Southampton
Postdoctoral Research Fellow
June 1, 2012 – June 1, 2015
Southampton, United Kingdom
University of Essex
Senior Research Officer
May 1, 2007 – December 1, 2010
e2v
CCD Test Engineer
January 1, 2006 – January 1, 2007
Institute of Cancer Research
PhD Student
October 1, 2003 – October 1, 2007
Ford Motor Company
Crash Safety Test Engineer
July 1, 1998 – August 1, 2002
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with a focus on biomedical engineering, medical physics, and deep learning in a university/institute setting. While this demonstrates a strong capacity for independent research and complex problem-solving, the transition to a corporate 'Data Analyst' role might require adaptation to different operational rhythms, team structures, and business objectives. The lack of diverse project experience outside of academic research could indicate a potential cultural fit challenge for a fast-paced industry role.
Soft Skills & Operational Fit
The candidate's extensive research background suggests strong analytical skills, problem-solving abilities, and a methodical approach to work. The descriptions of deploying large-scale studies and setting up automated systems indicate organizational skills and attention to detail. However, direct evidence of communication, teamwork, or leadership in a corporate setting is limited, as most experience is academic research-focused.