Reference:
0815-25
We wish to recruit a full time postdoctoral research associate for 3 years. You will join Lancaster Medical School to work with Dr Jemma Kerns and collaborators to develop spatially offset Raman spectroscopy (SORS) as a healthcare tool for use in the community for bone health.
You must hold a PhD in data science. We are seeking a data analyst with software engineering skills candidate to be the lead post-doctoral research associate for the data analysis and software work package. More specifically, we seek someone with expertise in chemometrics, machine learning and software engineering skills to develop the data analysis protocols for collection of data and quality assurance; the processing and analysis of the data; and the output data and interpretability. This will include the development and application of multivariate analysis and/or classification algorithms including machine learning to extract the features that could be used for diagnosis of different bone conditions.
This project is funded by the EPSRC, titled SORS in the community (https://www.ukri.org/news/new-tools-aim-to-improve-early-diagnosis-and-ease-nhs-pressure/)
Weaim to develop spatially offset Raman spectroscopy as a community-based healthcare tool for the enhanced diagnosis and screening of musculoskeletal health. The post-holder will liaise with colleagues within the Faculty of Health and Medicine at Lancaster University: Dr Olaug Grude, Dr Leonie Unterholzner, Dr Amy Saunders and Dr Claire Mann and external partners: Prof Helen Birch (UCL), Prof Pavel Matousek (STFC), Prof Tony Parker (STFC), Dr Nai-Hao Yin (UCL and Lancaster) and Dr Marwan Bukhari (Consultant Rheumatologist, University Hospitals of Morecambe Bay NHS Trust) to deliver the project.
Specifically, this project aims to establish the safety limits for in vivo use, develop the optimal operational conditions for the proposed device and create software for device operation, data collection, analysis and interpretation. Throughout the study we will engage directly with people with lived experience of musculoskeletal conditions, carers and a range of healthcare professionals to ensure that the design and delivery of all aspects of the device is feasible and acceptable and ultimately could be implemented in community healthcare settings.
You will be expected to be based at Lancaster University, however, there is some opportunity for remote working and travel between collaborator sites.
You will join a top 10-UK university in the Complete University Guide 2026 with excellent laboratory facilities and situated in a vibrant research environment. Lancaster Medical School, within the Faculty of Health and Medicine at Lancaster University, provides a friendly research environment that strongly supports the individual needs of each employee and which actively promotes a healthy work-life balance. The Faculty is committed to family-friendly and flexible working policies and has held a Silver Athena SWAN award since 2014 in recognition of its good employment practice undertaken to address gender equality in higher education and research.
For more information please contact Dr Jemma Kerns,
http://www.lancaster.ac.uk/fhm/about-us/people/jemma-kerns
The post is available from 1st January 2026.
We welcome applications from people in all diversity groups and are happy to consider flexible working requests.
Further Details:
Please note: unless specified otherwise in the advert, all advertised roles are UK based.
Find out what it's like to, including information on our wide range of employee benefits, support networks and our policies and facilities for a family-friendly workplace.
The University recognises and celebrates good employment practice undertaken to address all inequality in higher education whilst promoting the importance and wellbeing for all our colleagues.
We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity.
#divSocialMedia { padding:10px 0; overflow:hidden; } #divSocialMedia span { margin-right:5px; } #divSocialMedia div { display:inline-block; margin:10px 5px; } #divSocialMedia a { font-size:1.5rem; font-family:sans-serif; border:1px solid #888; border-radius:50%; padding:8px; } #divSocialMedia i { font-size:1.5rem; } #divSocialMedia a:focus { outline-offset:2px; } let socialMediaClipboardId = -1; function socialMediaClipboard(lnk) { let url = lnk.getAttribute("data-url"); if (!navigator.clipboard) { fallBack(); } else { navigator.clipboard.writeText(url).then(success, fallBack); } function fallBack() { let ta = document.createElement("textarea"); ta.textContent = url; document.body.appendChild(ta); ta.select(); try { document.execCommand("copy"); document.body.removeChild(ta); success(); } catch (ex) { document.body.removeChild(ta); alert("Sorry, it is not possible to copy the advert link to your clipboard"); } } function success() { if (typeof lnk.origTitle == "undefined") lnk.originalTitle = lnk.title; lnk.title = lnk.getAttribute("data-succtitle"); let orig = lnk.getAttribute("data-origicon"), succ = lnk.getAttribute("data-succicon"); let i = lnk.getElementsByTagName("i")[0]; i.classList.remove(orig); i.classList.add(succ); clearTimeout(socialMediaClipboardId); socialMediaClipboardId = setTimeout(function () { lnk.title = lnk.originalTitle; i.classList.remove(succ); i.classList.add(orig); }, 4000); } return false; } Share: