Senior Data Scientist

Senior Data Scientist - Scientific Data & Insight, Safety & Surveillance

Full time, permanent, based in 10 South Colonnade, Canary Wharf, London E14 4PU.

Hybrid working model: minimum 8 days per month onsite.

What's the role?

Lead a team of data scientists developing and applying advanced analytics, machine learning, AI and simulation methods to support product safety and surveillance.

Key Responsibilities

• Line manage and lead a team of device data researchers and data scientists in applying analytical methods to patient data collected through vigilance systems.
• Support implementation of new analytical approaches to interrogate incident reporting data, including automated analytical tools.
• Collaborate across the Agency and with external stakeholders to optimise device data quality.
• Work with vigilance scientists, developers and epidemiologists to optimise reporting systems and apply machine learning where appropriate.

Who we're looking for - Qualifications

• PhD in Data Science, Statistics, Machine Learning, Computer Science or equivalent professional experience.
• Leadership experience in developing and managing data science teams.
• Strong experience with machine learning or data science on large datasets.
• Expertise in at least one domain: mathematical modelling, machine learning, deep learning, natural language processing, Bayesian inference.
• Proficiency in R, Python, or Julia for data analysis.
• Ability to communicate complex concepts to a wide range of stakeholders.

Additional Criteria (Behaviour, Experience, Technical)

• Experience leading multidisciplinary data science teams.
• Experience implementing AI/ML solutions in regulated environments.
• Proficiency in scalable data analysis, high performance computing.
• Experience writing grant proposals (desirable).
• Strong communication and influencing skills.

Application

Apply online; key stages include application, interview and presentation.

Legal & EEO

MHRA is an equal opportunity employer.