Data Scientist

Medicines and Healthcare products Regulatory Agency; London; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

Join a leading agency as a Data Scientist, enhancing safety monitoring through advanced analytics. You will support public health by utilizing data science and machine learning techniques to manage the risks of medical products. The role offers a collaborative work environment at the forefront of healthcare regulatory science.

Qualifications

• Strong experience using data science to analyze large datasets.
• Demonstrable skills in machine learning and statistical methods.
• Experience in collaborative, multidisciplinary teams.

Responsibilities

• Apply data science methods to enhance safety monitoring.
• Communicate complex analyses to various stakeholders.
• Collaborate to address data challenges in product safety.

Skills

Machine Learning

Data Analysis

Communication

Data Visualization

Education

PhD in Data Science, Statistics, or related field

Job description

We are currently looking for a Data Scientist to join our Scientific Data & Insight function within the Safety & Surveillance group.

This is a full-time opportunity, on a permanent basis. The role will be based in 10 South Colonnade, Canary Wharf London, E14 4PU. Please be aware that this role can only be worked in the UK and not overseas.

Government departments and agencies are working towards implementing a minimum 60% attendance in office sites.

We are currently implementing a flexible, hybrid way of working, with a minimum of 8 days per month working on site to enable collaboration and contact with partners and stakeholders needed to deliver MHRA business. Attendance on site is driven by business needs and can flex up to 12 days a month, with the remainder of time worked remotely or in the office. Some roles may require more regular on-site presence.

Who are we?

The Medicines and Healthcare products Regulatory Agency enhances and improves the health of millions of people daily through the effective regulation of medicines and medical devices, underpinned by science and research.

The central mission of the Safety & Surveillance portfolio is to protect the public by appropriately identifying, assessing, and managing risks associated with medical products.

The group delivers robust vigilance processes to detect, monitor, and evaluate safety signals across the product lifecycle, including assessing risk/benefit balances and designing effective risk mitigations. It communicates effectively with patients and the public and supports healthcare systems in implementing safety measures. The Safety and Surveillance group integrates expertise on the safety of all medical products with enforcement capabilities, supported by the Agency’s data and evidence capabilities, including the common vigilance platform SafetyConnect.

What’s the role?

The Scientific Data and Insight function supports this mission by developing and providing expertise to enhance the analytic capabilities of the Safety & Surveillance group. Activities include epidemiological assessments, identifying data gaps, and developing novel pharmacovigilance methods. The division collaborates with external partners and academic institutions, frequently publishing scientific papers.

This role involves applying advanced data science and machine learning techniques to enhance vigilance and safety monitoring of medicines, vaccines, and medical devices. The post holder will develop innovative analytical approaches, collaborate across functions, and translate complex analyses into clear insights for colleagues and stakeholders.

Key Responsibilities

• Apply data science and machine learning to large datasets using Python, R, or Julia to generate insights and evidence.
• Communicate approaches and results effectively, including data visualisation.
• Work cross-functionally to deliver evidence-generation initiatives and collaborate with external partners for data-driven discovery.
• Apply analytical methods to patient data from vigilance systems to support safety assessments and refine AI tools for data processing.

Who are we looking for?

Our Successful Candidate Will Have

• A PhD in Data Science, Statistics, Machine Learning, Computer Science, or a similar quantitative discipline, or demonstrable equivalent professional experience.
• Strong experience in using machine learning or data science to analyze large datasets.
• Experience working collaboratively within multidisciplinary data science teams and delivering results timely.
• Technical knowledge in at least one domain: statistics/mathematical statistics, machine learning, deep learning, natural language processing, Bayesian inference.

If you want to find out more about this opportunity, please read our Job Description and Person Specification!
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