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Vacancies within Nuffield Department of Women's and Reproductive Health
There are currently 1 vacancies within Nuffield Department of Women's and Reproductive Health:
| Title | Closes | Salary |
|---|---|---|
| Software Engineer/Senior Research Scientist in Cardiotocography and Fetal ECG Algorithms | July 28, 2025, noon | Research Grade 8: Research Grade 8: £48,235 to £57,255 per annum |
Software Engineer/Senior Research Scientist in Cardiotocography and Fetal ECG Algorithms
Closes: July 28, 2025, noon; salary: Research Grade 8: Research Grade 8: £48,235 to £57,255 per annum
<div> <p></p><div><strong>IMPORTANT NOTE: This is a readvertisement (vacancy number: 179723). Previous applicants need not apply.</strong></div><br> <div> </div><br> <div>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.</div><br> <div> </div><br> <div>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.</div><br> <div> </div><br> <div>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.</div><br> <div> </div><br> <div>Key responsibilities include:</div><br> <div> </div><br> <div>- Developing innovative algorithms for fetal biosignals.</div><br> <div>- Managing and optimizing algorithm performance.</div><br> <div>- Conducting validation studies and statistical analyses.</div><br> <div>- Collaborating with interdisciplinary teams for seamless integration.</div><br> <div>- Engaging with industry stakeholders for on-device deployment.</div><br> <div>- Mentoring junior researchers and fostering a collaborative environment.</div><br> <div>- Generating insights from healthcare data and disseminating research findings.</div><br> <div> </div><br> <div>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 healthcare technology, we encourage you to apply.</div><br> <div> </div><br> <div>Applications for flexible working arrangements are welcomed and will be considered in line with business needs.</div><br> <div> </div><br> <div>You will be required to upload a CV and Supporting Statement as part of your online application. Go to   <a rel="nofollow" href="https://www.jobs.ox.ac.uk/cv-and-supporting-statement">https://www.jobs.ox.ac.uk/cv-and-supporting-statement</a> for information and advice on writing an effective Supporting Statement.</div><br> <div> </div><br> <div>This role is full time and is fixed term for 1 year.</div><br> <div> </div><br> <div>The closing date for applications is 12.00 noon on Monday 28th July 2025. Interviews are expected to take place on Tuesday 5th August .</div> </div>