Job Summary Table of Data Scientist

Job Description Summary

Join King’s College London as a Data Scientist working with the innovative RADAR-Base platform to analyze complex healthcare data, develop machine learning models, and contribute to groundbreaking mobile health research that directly impacts patient care across multiple disease areas.

Responsibilities

• Expand the utility of the RADAR-Base platform by developing innovative data analysis methods and tools for mobile health research
• Analyze large, complex longitudinal datasets collected from diverse health monitoring devices and systems
• Build and maintain data processing pipelines that handle real-time health data collection and analysis
• Develop statistical models and machine learning algorithms to extract meaningful insights from mHealth data
• Collaborate with a diverse team of researchers and developers to improve the platform’s capabilities
• Ensure data privacy and security principles are maintained throughout all processes
• Contribute to scientific publications based on research findings and technological advancements
• Present research findings to stakeholders and at academic conferences
• Support the implementation of the platform across multiple research studies spanning over 20 disorder areas

Benefits and Perks

• Competitive salary with London Weighting Allowance
• Opportunity to work on cutting-edge health research with global impact
• Collaboration with leading researchers in the field of health informatics
• Career development opportunities within a prestigious academic institution
• Access to King’s College London’s excellent facilities and resources
• Pension scheme and other standard King’s College London employee benefits
• Opportunity to contribute to open-source projects with worldwide reach

Company Overview

King’s College London is one of the UK’s leading research universities and part of the prestigious Russell Group. The Precision Health Informatics Data Lab, led by Professor Richard Dobson, is at the forefront of innovation in health data science. The lab works closely with the National Institute for Health Research Maudsley Biomedical Research Centre (NIHR Maudsley BRC) to advance research into novel tests, treatments, and technologies for mental disorders.

Company Culture

At King’s College London, you’ll join a collaborative and intellectually stimulating environment dedicated to advancing knowledge and making a positive impact on society. The Precision Health Informatics Data Lab fosters a culture of innovation, open collaboration, and interdisciplinary research. Team members are encouraged to share ideas, take initiative, and contribute to the development of groundbreaking technologies in healthcare.

Career Growth Opportunities in Data Science and mHealth

This position offers exceptional career growth potential at the intersection of data science and healthcare. You’ll gain expertise in handling real-world health data, developing innovative analysis methods, and contributing to scientific publications. The skills and experience gained working with the RADAR-Base platform will position you for advanced roles in academic research, healthcare technology, or data science leadership. The connections made within King’s College London and the broader research network provide valuable opportunities for career advancement in this rapidly growing field.

Diversity and Inclusion at King’s College London

King’s College London is committed to creating an inclusive environment that values diversity and promotes equality. The university believes that a diverse workforce strengthens its research capabilities and enhances the quality of education provided. King’s actively encourages applications from individuals of all backgrounds, cultures, and experiences, recognizing that diverse perspectives drive innovation and excellence in research and teaching.

Equal Opportunity Statement

King’s College London is an equal opportunity employer that values diversity and is strongly committed to providing equal employment opportunities for all employees and applicants for employment. Equal opportunities are available to all employees and applicants regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.

Remote Work Policy for Data Science Team

This position is based at the Denmark Hill Campus in London. While the role requires on-site presence to collaborate effectively with the research team, King’s College London offers flexible working arrangements that support work-life balance. Specific remote work options may be discussed during the interview process based on the requirements of the project and team collaboration needs.

Application Process for the Data Scientist Position

1. Submit your CV and supporting statement detailing how you meet the essential criteria listed in the job description
2. If shortlisted, you’ll be invited to participate in an interview process
3. The interview will assess your technical skills, experience, and alignment with the role requirements
4. Successful candidates will be offered a fixed-term contract until 31/07/2027

Application Deadline for Health Data Scientist

Applications must be submitted by June 1, 2025. Early applications are encouraged as interviews may be scheduled on a rolling basis.

How to Apply for the mHealth Data Scientist Role

To apply, please visit the King’s College London jobs portal at https://www.kcl.ac.uk/jobs/114227-data-scientist and click “Apply Now.” You will need to submit your CV and a supporting statement demonstrating how you meet the essential criteria. The full job description can be downloaded after clicking “Apply Now,” which provides detailed information about what criteria will be assessed during the recruitment process.

FAQs About Working with the RADAR-Base Platform

What is the RADAR-Base platform?
RADAR-Base is a pioneering mHealth technology platform for remote monitoring and management of health data, used in numerous research fields across 54 studies and spanning over 20 disorder areas.

What impact will this role have on healthcare?
As a Data Scientist, your work will directly influence health research by providing insights that lead to more personalized and timely interventions for individuals across various disease areas.

What skills are most important for this position?
Strong statistical analysis abilities, machine learning experience, proficiency in Python or R, and experience with large, complex longitudinal datasets are essential for success in this role.

Is prior experience in healthcare required?
While experience in mHealth or related areas is desirable, candidates with strong data science backgrounds who demonstrate a passion for healthcare applications will be considered.

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