Software Engineer/Senior Research Scientist in Cardiotocography and Fetal ECG Algorithms
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 healthcare technology, we
encourage you to apply.
Applications for flexible working arrangements are welcomed and will be
considered in line with business needs.
You will be required to upload a CV and Supporting Statement as part of your
online application. Go to https://www.jobs.ox.ac.uk/cv-and-supporting-
statement for information and advice on writing an effective Supporting
Statement.
This role is full time and is fixed term for 1 year.
The closing date for applications is 12.00 noon on Monday 9th June 2025.
Interviews are expected to take place on Wednesday 18th or Thursday 19th June
2025.
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 healthcare technology, we
encourage you to apply.
Applications for flexible working arrangements are welcomed and will be
considered in line with business needs.
You will be required to upload a CV and Supporting Statement as part of your
online application. Go to https://www.jobs.ox.ac.uk/cv-and-supporting-
statement for information and advice on writing an effective Supporting
Statement.
This role is full time and is fixed term for 1 year.
The closing date for applications is 12.00 noon on Monday 9th June 2025.
Interviews are expected to take place on Wednesday 18th or Thursday 19th June
2025.
| dc:spatial |
Nuffield Department of Women’s & Reproductive Health, Level 3 Women's Centre, John Radcliffe Hospital, Oxford OX3 9DU
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| vacancy:applicationClosingDate |
2025-06-09 12:00:00+01:00
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| vacancy:applicationOpeningDate |
2025-05-20 09:00:00+01:00
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| vacancy:furtherParticulars | |
| vacancy:internalApplicationsOnly |
False
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| vacancy:salary | |
| type | |
| 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 ... 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. ... |
| label |
Software Engineer/Senior Research Scientist in Cardiotocography and Fetal ECG Algorithms
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| notation |
179723
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