The Rosenfeld lab pioneers new approaches for non-invasive molecular diagnostics and analysis of cancer genomes and evolution, using next-generation sequencing of circulating cell-free tumour DNA (ctDNA). Previous work in the group has shown that ctDNA analysis can be used for detection and monitoring of tumour burden in late stage disease (Forshew et al. Sci Transl Med. 30;4(136):136ra68, Murtaza et al., Nature 497(7447):108-112, Dawson et al., NEJM 368(13):1199-1209). Current work focuses on clinical applications in low burden disease where ctDNA levels are currently at the limit of detection, including the optimisation of high sensitivity assays for ctDNA detection and quantification in early stage cancers.
Areas of interest include application of ctDNA for detection of low volume disease including early-stage prior to diagnosis or relapse, in lung, ovarian and breast cancer. The successful applicant will work on studies designed to investigate the proportion of newly diagnosed individuals with detectable ctDNA and identify the earliest time point before diagnosis that ctDNA can be detected. Within these studies, you will work with large numbers of clinical samples, optimising and improving DNA analysis methods, utilising advanced genomic techniques including genome-wide and / or targeted high throughput sequencing approaches, analysing large volumes of genomic data and interrogating different data sets to contribute to the development of new diagnostic approaches.
This is an exciting opportunity to join a multi-disciplinary, translational research group and contribute to the development of new diagnostic approaches. Applicants should have or be about to receive a PhD in a relevant scientific discipline, and should possess demonstrable in-depth experience in; molecular biology and / or mammalian genetics (ideally cancer genetics), quantitative genomic analysis methods and high throughput sequencing approaches. Desirable features include; experience of assay development (particularly next generation sequencing based assays), experience with assays for DNA methylation and strong bioinformatic skills. Furthermore, experience of research using human samples and / or work in clinical diagnostics would be an advantage. The candidate should be able to work independently and to manage their own workload, while at the same time interacting efficiently with the research team. Excellent communication, interpersonal and organisational skills are also required.
Fixed-term: The funds for this post are available for 3 years in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a security check.
To apply online for this vacancy, please click on the ‘Apply’ button below. This will route you to the University’s Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
The closing date is 4 December 2018, with the interview date to be confirmed.
The post is full-time but applications are welcome from those who would like to work flexibly.
Please send applications in the following format: a CV, including full details of previous training and research experience to date; a publication record if available; the names and contact details of two academic referees, including email addresses; a covering letter explaining why you want to join our team and what you will bring to the project.
Please quote reference SW17305 on your application and in any correspondence about this vacancy.
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