Senior Research Software Engineer & Data Scientist (INTERNAL) - Strand, London, WC2R 2LS

Senior Research Software Engineer & Data Scientist (INTERNAL) - Strand, London, WC2R 2LS THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us:

We are seeking an experienced mobile health developer and data scientist, with 3+ years of practical skills development, Apache Kafka, and RADAR-base mobile health platform. The role is also intended to be heavily involved with the practical implementation of AI/ML pipelines to process (both real-time and historical) data generated from several remote monitoring projects.

About the role:

The postholder will contribute to the development of our portfolio of mHealth and health informatics platforms and research which sits within, and benefits from the leading programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) Precision Health Informatics Data Lab (  ).

The post holder will be expected to be able to contribute in the following areas:

-          Work on furthering the nascent RADAR-Flash module for real-time data processing in the RADAR-base platform. Develop a flexible framework for using real-time data to implement digital interventions.

-          To provide DevOps support for RADAR-base platform ( and associated technologies. Including supporting deployments, administration and maintenance of the platform. This work will also include working with the software development team, RADAR-base open source community and private sector organisations to assist with extension of functionality and tooling for the platform.

-          Stakeholder requirements definition and scoping. Excellent communication skills are required to describe and understand the requirements, key challenges and evaluate methodologies related to different mHealth projects.

-          Take responsibility with supporting junior members of the group and masters students.

-          Contribute to the Mobile Health Research Lab (MHRL) to develop and generate a benchmarking database for new sensors and wearables.

A second part of this role will involve analysis of data produced by the platform using modern analytical approaches including machine learning methods.

-          Work with the team on developing the RADAR-pipeline analysis module.

-          Support work developing mobile health foundational models

-          Advanced data manipulation and analysis capability, e.g. machine/deep learning in Python (in particular as relates to time series datasets).

-          Outputs including publications in high impact journals and conferences as well as contributing to applications for funding.

The successful candidate will have a BSc in a relevant discipline (e.g., computer science, clinical informatics, software development, machine learning). Relevant data analysis and programming skills (e.g. Kotlin, Java, Python) and experience with RADAR-base are required. 

This is a full time post (35 hours per week), and you will be offered a fixed term contract until 30/09/2026.