Data Scientist

HM Revenue and Customs; London; On-site; GBP 40,000 - 60,000; Full time

Job summary

HM Revenue and Customs is seeking a Data Scientist to enhance the RADAR-base platform for remote health monitoring and data analysis. The role involves working with large datasets, statistical analysis, and programming to impact mobile health research globally, contributing to timely health interventions. Ensure collaborative efforts lead to meaningful advancements in healthcare.

Qualifications

• Strong background in statistical analysis and data science.
• Proficiency in programming languages like Python or R.
• Experience working with large datasets and data processing pipelines.

Responsibilities

• Expand utility of the RADAR-base platform for health data.
• Conduct data analysis to influence health research.
• Collaborate with researchers to drive meaningful health interventions.

Skills

Statistical analysis

Machine learning

Data visualisation

Python

R

Real-time data analysis

Communication skills

Collaborative skills

Passion for data-driven healthcare

Education

MSc or equivalent in related field

Tools

Cloud-based data platforms

Data management tools

Version control tools

Job description

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. The Data Scientist will play a pivotal role in expanding the utility of the RADAR-base platform, and by doing so, will impact the pace and quality of mobile health research globally. The insights gained from the data analysis will directly influence health research and leading to more personalised and timely interventions for individuals in a wide variety of disease areas. Your work will contribute to a more open, accessible and equitable environment for data-driven health research.

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:

• MSc or equivalent degree or experience in related field
• A strong background in statistical analysis, machine learning, and data visualisation
• Proficiency in programming languages commonly used in data science, such as Python or R
• Experience with large and complex, longitudinal datasets
• Experience in building data processing pipelines
• Familiarity with data privacy and security principles
• Experience in real-time data analysis and processing techniques
• Excellent communication skills and ability to collaborate with a diverse team of researchers and developers
• A passion for working with data to drive meaningful change in healthcare and want to contribute to open-source projects
• Experience writing scientific publications
• Experience in the field of mobile health (mHealth) or related areas
• Experience with time-series data
• Knowledge of cloud-based data platforms
• Familiarity with data management and version control

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.

Luxembourg Institute of Science and Technology (LIST)