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Software Engineer/Senior Research Scientist in Cardiotocography and Fetal ECG Algorithms
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application opening date: 2025-05-20T09:00:00+01:00
subject: research
notation: 179723
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contact: Recruitment Administrator
spatial: Nuffield Department of Women’s & Reproductive Health, Level 3 Women's Centre, John Radcliffe Hospital, Oxford OX3 9DU
application closing date: 2025-06-09T12:00:00+01:00
salary: Research Grade 8: Research Grade 8: £48,235 to £57,255 per annum
further particulars: 179723 Senior Research Scientist_Software Engineer – Cardiotocography and Fetal ECG Algorithms_Final JD
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comment: 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 health while ensuring high standards of data quality and compliance. If you are passionate about advancing…
comment: 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 health while ensuring high standards of data quality and compliance. If you are passionate about ad…

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Nuffield Department of Women's and Reproductive Health
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179723 Senior Research Scientist_Software Engineer – Cardiotocography and Fetal ECG Algorithms_Final JD
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value: JOB DESCRIPTION AND SELECTION CRITERIA Job title Senior Research Scientist/Software Engineer – Cardiotocography and Fetal ECG Algorithms Division Medical Sciences Division Department Nuffield Department of Women’s & Reproductive Health Location Level 3 Women's Centre, John Radcliffe Hospital, Oxford OX3 9DU Grade and salary Research Grade 8: £48,235 to £57,255 per annum Full Time Hours Applications for flexible working arrangements are welcomed and will be considered in line with business needs. Contract type Fixed Term for 1 year Reporting to Ms Beth Albert and Dr Gabriel Davis Jones Vacancy reference 179723 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 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. In addition, the candidate will utilise advanced analytical techniques to extract novel insights from large, complex healthcare datasets, thereby contributing to innovative research in maternal and fetal health. The successful applicant will join a dynamic, multidisciplinary team within a supportive…
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