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Nuffield Department of Women's and Reproductive Health
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Software Engineer/Senior Research Scientist in Cardiotocography and Fetal ECG Algorithms
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contact: Recruitment Administrator
application closing date: 2025-07-28T12:00:00+01:00
based near: John Radcliffe Women's Centre
subject: research
further particulars: 180792 Senior Software Engineer Research Scientist – Cardiotocography and Fetal ECG Algorithms – Job Description
spatial: Nuffield Department of Women’s & Reproductive Health, Level 3 Women's Centre, John Radcliffe Hospital, Oxford OX3 9DU
notation: 180792
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comment: IMPORTANT NOTE: This is a readvertisement (vacancy number: 179723). Previous applicants need not apply. Join Oxford Digital Health Labs as a Senior Research Scientist or Software Engineer, where you will play a pivotal role in developing advanced algorithms for cardiotocography and fetal ECG analysis. In this position, you will manage and innovate next-generation algorithms, focusing on both automated and manual processing pipelines to enhance clinical diagnostics and patient care. You will collaborate with a diverse team of clinicians, data scientists, and industry partners to integrate cutting-edge algorithms into clinical workflows. Your responsibilities will include designing and optimizing signal processing algorithms, conducting rigorous validation studies, and ensuring the performance of existing algorithms meets clinical standards. You will also be involved in debugging, testing, and maintaining software stability, while preparing comprehensive technical documentation and academic publications. This role offers the opportunity to work at the forefront of healthcare technology, engaging with international experts and utilizing state-of-the-art resources. A strong commitment to data quality, patient confidentiality, and regulatory compliance is essential. Familiarity with existing literature on computerized and AI-driven algorithms for cardiotocography and fetal ECG analysis will be beneficial. Key responsibilities include: - Developing innovative algorithms for fetal biosignals. - Managing and optimizing algorithm performance. - Conducting validation studies and statistical analyses. - Collaborating with interdisciplinary teams for seamless integration. - Engaging with industry stakeholders for on-device deployment. - Mentoring junior researchers and fostering a collaborative environment. - Generating insights from healthcare data and disseminating research findings. This is an exciting opportunity to contribute to innovative research in maternal and fetal he…
formal organization: University of Oxford
salary: Research Grade 8: Research Grade 8: £48,235 to £57,255 per annum
application opening date: 2025-07-07T09:00:00+01:00
comment: **IMPORTANT NOTE: This is a readvertisement (vacancy number: 179723). Previous applicants need not apply.** Join Oxford Digital Health Labs as a Senior Research Scientist or Software Engineer, where you will play a pivotal role in developing advanced algorithms for cardiotocography and fetal ECG analysis. In this position, you will manage and innovate next-generation algorithms, focusing on both automated and manual processing pipelines to enhance clinical diagnostics and patient care. You will collaborate with a diverse team of clinicians, data scientists, and industry partners to integrate cutting-edge algorithms into clinical workflows. Your responsibilities will include designing and optimizing signal processing algorithms, conducting rigorous validation studies, and ensuring the performance of existing algorithms meets clinical standards. You will also be involved in debugging, testing, and maintaining software stability, while preparing comprehensive technical documentation and academic publications. This role offers the opportunity to work at the forefront of healthcare technology, engaging with international experts and utilizing state-of-the-art resources. A strong commitment to data quality, patient confidentiality, and regulatory compliance is essential. Familiarity with existing literature on computerized and AI-driven algorithms for cardiotocography and fetal ECG analysis will be beneficial. Key responsibilities include: \- Developing innovative algorithms for fetal biosignals. \- Managing and optimizing algorithm performance. \- Conducting validation studies and statistical analyses. \- Collaborating with interdisciplinary teams for seamless integration. \- Engaging with industry stakeholders for on-device deployment. \- Mentoring junior researchers and fostering a collaborative environment. \- Generating insights from healthcare data and disseminating research findings. This is an exciting opportunity to contribute to innovative research in maternal a…
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180792 Senior Software Engineer Research Scientist – Cardiotocography and Fetal ECG Algorithms – Job Description
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value: Job description and selection criteria Job title Senior Software Engineer/Research Scientist– Cardiotocography and Fetal ECG Algorithms Division Medical Sciences Department Location Nuffield Department Women’s & Reproductive Health (NDWRH) Oxford Digital Health Labs Level 3, Women’s Centre, John Radcliffe Hospital, Headington, Oxford. Grade and salary Grade 8 Hours Full time Contract type Fixed-term for 1 year in the first instance with the possibility of a further extension. Reporting to Ms Beth Albert and Dr Gabriel Davis Jones Vacancy reference 180792 The Role Overview of the Role Oxford Digital Health Labs is seeking a highly skilled Senior Research Scientist or Software Engineer with expertise in signal processing and algorithm development for cardiotocography, with a specific focus on fetal heart rate analysis and fetal ECG data. The successful candidate will be responsible for translating, implementing, and maintaining production and research code with minimal supervision. The successful candidate will also have a secondary role of managing cardiotocography algorithms and pioneering the development of next-generation algorithms, including both automated and manual processing pipelines. This role is central to advancing our research capabilities and supporting high-impact projects aimed at improving clinical diagnostics and patient care. In this position, the candidate will collaborate with clinicians, data scientists, research scientists, and industry partners to integrate cutting-edge algorithms into both clinical workflows and on-device implementations. The role requires the algorithm development, application of rigorous validation studies, the optimisation of algorithm performance, and the development of robust technical documentation and academic publications. The candidate should have experience integrating developed models into production and automated pipelines. In addition, the candidate will utilise advanced analytical techniques to extract novel ins…

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Research Grade 8: Research Grade 8: £48,235 to £57,255 per annum
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