At a Glance
- Tasks: Analyse data to explore inequalities in perinatal mental health service pathways.
- Company: Sheffield Hallam University, committed to impactful research and social equity.
- Benefits: Competitive salary, pension scheme, flexible working, and a supportive environment.
- Other info: Join a diverse team and contribute to high-impact interdisciplinary projects.
- Why this job: Make a real difference in maternal health while advancing your research career.
- Qualifications: Experience in data science and a passion for healthcare research.
The predicted salary is between 58225 - 58225 £ per year.
The Maternal and Infant Health Research Equity Centre (MIHERC) which sits in the Centre for Applied Health and Social Care Research (CARe) at Sheffield Hallam University is seeking to appoint a Senior Research Fellow in Data Science to support analysis of administrative linked data to explore intersectional inequalities in perinatal mental health service pathways. CARe is part of the College of Health, Wellbeing and Life Sciences and contributes to the University’s wider mission to deliver applied research with social impact.
This role supports a wider research programme funded by the National Institute for Health and Care Research (NIHR) as part of the NIHR Maternity Disparities Consortium (MDC). The NIHR-MDC is a £50 million NIHR investment which brings together a diverse range of organisations with expertise in research, capacity development and working with people and communities to deliver a step change in maternity outcomes and developing future research leaders in this area of need. The research carried out by the consortium will focus on inequalities before, during and after pregnancy.
The successful candidate will work with the multi-disciplinary team of the NIHR Maternity Disparities Consortium. This post will support Sheffield Hallam University’s contribution to the NIHR-MDC, specifically in the “Perinatal Mental Health and Psychosocial Wellbeing” core team. The post will liaise closely with the “Data, Economics, Digital and Implementation (DELTA)” cross-cutting function within the NIHR-MDC which provides expertise in linked data and analysis.
Particularly, the Fellow will support the analysis of local and national administrative data to explore intersectional inequalities in perinatal mental health service pathways, to enable early risk stratification and the development of equitable maternity mental health care pathways. The Fellow will also contribute to coproduction of an intervention with women, families and clinicians, and planning future evaluation of this intervention including usability and feasibility testing, data collection, implementation frameworks, and the generation of evidence to support future scale-up across the consortium.
The project offers an exciting opportunity to contribute to interdisciplinary, high-impact research at the intersection of data science, implementation science and healthcare delivery, with a focus on the translation of evidence into practical solutions that can work within real-world NHS settings and existing service workflows. The successful candidate will work with a broad network of collaborators and contribute to publications, dissemination, future funding development and wider impact activity, while helping shape interventions that are trustworthy, accessible, inclusive and responsive to the needs of underserved communities.
We offer a diverse range of benefits and opportunities to pursue a rewarding and fulfilling career in a supportive environment. The University currently enrols eligible academic staff into the Teachers’ Pension Scheme (TPS), a defined-benefit pension scheme. Should you be enrolled into TPS, each year you will earn a secure pension benefit of 1/57th of your salary and the University will pay pension contributions towards the cost of this pension (currently worth about 29% of your salary).
Sheffield Hallam welcomes applications from all candidates irrespective of age, pregnancy and maternity, disability, sex, gender reassignment, sexual orientation, race, religion or belief, or marital or civil partnership status. For this job we particularly welcome applications from minority ethnic applicants who are underrepresented in this area/ this type of job at Sheffield Hallam. The University may be able to sponsor the employment of international applicants in this role; this will depend on a number of factors specific to the individual applicant. You are advised to assess your eligibility against the criteria set out in the UKVI Guidance before applying. We welcome applications for job-share, part-time and flexible working arrangements.
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Senior Research Fellow - Data Scientist/Epidemiologist in Sheffield employer: Corehr
Sheffield Hallam University is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration within the Smart Interactive Technologies Lab. As a Research Fellow, you will have access to cutting-edge research infrastructure and the opportunity to contribute to impactful projects aimed at improving maternal health outcomes, all while benefiting from a supportive environment that prioritises professional growth and development. Join us in making a meaningful difference in healthcare through responsible and human-centred digital innovation.
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We think this is how you could land Senior Research Fellow - Data Scientist/Epidemiologist in Sheffield
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We think you need these skills to ace Senior Research Fellow - Data Scientist/Epidemiologist in Sheffield
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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