Postdoctoral Research Associate in Cardio-immunology Data Science

Organisation/Company KINGS COLLEGE LONDON Research Field Biological sciences Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Kingdom Application Deadline 20 Aug 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

About Us

The School of Cardiovascular and Metabolic Medicine & Sciences (SCMMS) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic science into advances in clinical practice. Our community of world-renowned researchers have access to state-of-the art core facilities and expertise, including facilities for high-throughput screening and high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical interaction and a strong focus on mentoring and career development. The School hosts the British Heart Foundation Centre of Research Excellence at King's, which brings together a unique range of internationally recognised scientists and clinicians from across the School and King’s College London.

This is an exciting opportunity for a postdoctoral research associate with expertise in data science to join the King’s BHF Centre of Research Excellence and contribute to a growing cardio-immunology research programme. Inflammation is increasingly recognised as a key modifiable driver of adverse outcomes across a range of cardiovascular diseases (CVDs), yet significant uncertainty remains regarding which disease contexts, patient populations, and time points are most amenable to therapeutic targeting.

This position will involve the application of advanced data science approaches to explore large-scale clinical datasets extracted from electronic health records, with the goal of understanding how inflammatory processes intersect with cardiovascular disease progression and outcomes. The successful candidate will work to identify key clinical and immunological predictors, develop risk models, and help generate new hypotheses to inform future therapeutic strategies. The role offers a unique opportunity to bridge data-driven insight with translational cardiovascular research in a highly interdisciplinary environment.

The Group’s research is funded by peer-reviewed grants, including from the British Heart Foundation, Medical Research Council and British Society for Heart Failure, as well as investigator-initiated commercial funding.

We are seeking a motivated and enthusiastic candidate to join our pre-clinical and translational research. The successful applicant will be expected to develop and undertake research of high quality consistent with the aims of the project. They will contribute to all facets of the lab, including managing specific work packages and working as part of a multi-disciplinary team.

This is a full-time post (35 hours per week), and you will be offered a fixed term contract for 1 year.

About You

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

• PhD or equivalent experience in relevant area.
• Knowledge or interest in Natural Language Processing, ideally as applied to big biomedical data.
• Clinical informatics experience in large scale academic projects and/or industry environment.
• Strong grasp of study design, power calculations, and statistical methods, with scientific rigour in planning and interpreting experiments.
• Skilled in scientific writing, data presentation, and teamwork; maintains accurate records and contributes to shared tasks.
• Proven ability to manage own research, apply techniques independently, and adapt to changing project needs.
• Experience of genomics and bioinformatic workflows.
• Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature
• Knowledge of machine learning / deep learning with an interest in the application to Electronic Patient Records.

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 pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

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.

Grade and Salary:£46,671 per annum inclusive of London Weighting Allowance

Job ID:121965

Close Date:20-Aug-2025

Contact Person:Daniel Bromage

Contact Details:

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