King's College London

THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY

About us:

The Precision Health Informatics Data Lab, led by Professor Richard Dobson, is motivated towards enabling a “panoramic” view of patients that is precise, predictive, preventative and participatory, through the integration of traditional ‘omics data with data derived from mHealth, electronic patient records, knowledge graphs. The group works closely alongside the National Institute for Health Research Maudsley Biomedical Research Centre (NIHR Maudsley BRC) supporting their translational research into novel tests, treatments and technologies to understand and treat mental disorders.

About the role:

Our RADAR-Base platform is pioneering the future for mHealth technology in remote monitoring and management of health data. The RADAR-base platform is used in numerous research fields, spanning over 20 disorder areas in 54 studies. This is a Software Research Engineer Lead position within the RADAR-base mHealth platform team. The role is crucial for guiding the technical direction of the platform and leading the development of innovative software solutions. The Software Research Engineer Lead will contribute to the design, development, and implementation of new features and will work closely with other team members to ensure the platform remains at the forefront of mobile health technology. This position offers an excellent opportunity to contribute to a globally adopted, low-cost, open-source mobile health platform and a key role in shaping the future of remote health monitoring.

This is a full time post, and you will be offered a fixed term contract until 31/07/2027.

About you:

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

1. PhD qualified in relevant subject area (or pending results) or equivalent experience.
2. Extensive experience in software development and research engineering (Ideally 5+ years).
3. Proven ability to lead and guide technical teams.
4. Experience with and major contributions to the open-source RADAR-Base software stack.
5. Deep understanding of mobile health technologies and platforms.
6. Proficiency in Java/Kotlin, mobile app development and backend development with an understanding of Industry best practices
7. 4+ years experience working with Apache Kafka, KSQL streams, and reactive backend systems.
8. Mentoring and team-leading experience
9. Strong background in open-source software development practices.
10. Experience with data analysis and processing pipelines.
11. Excellent problem-solving and analytical skills.
12. Strong communication and teamwork skills.
13. Experience with real-time data processing frameworks.
14. Experience with data privacy and anonymisation techniques.
15. Ability to translate research requirements into software solutions.

Desirable criteria

1. Experience with IoT sensor integration.
2. Knowledge of digital phenotyping.
3. Familiarity with cloud platforms and deployment strategies.
4. Experience with various data collection instruments (e.g., questionnaires, wearable sensors, IoT devices).
5. Publications or presentations in the field of mobile health or related areas.

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further information:

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

Interview date/s TBC.