The Liquid Biopsies and Cancer Diagnostics lab at the Cancer Research UK Cambridge Institute, University of Cambridge, develops and pioneers new approaches for non-invasive molecular diagnostics for cancer, primarily based on next-generation sequencing (NGS) of circulating cell-free tumour DNA (ctDNA). Led by Dr Rosenfeld and a team of experienced translational genomics scientists, the lab studies large collections of plasma and other samples from cancer patients through an extensive portfolio of clinical studies and collaborations. We develop NGS analysis tools spanning genome-wide and targeted methods for sensitive detection of tumour-derived nucleic acids and aim to progress these into clinical use by proof-of-concept translational studies to demonstrate their utility. We further explore the biophysical properties of ctDNA to study its origins and interactions and to inform the development of increasingly sensitive methods.
The lab and its collaborators have produced some of the key milestones in the liquid biopsy field using gene panels, exome sequencing, and shallow whole genome sequencing to detect, analyse and monitor ctDNA in plasma samples from hundreds of patients with different cancer types. The group is a dynamic mix of molecular biologists, bioinformaticians and clinical fellows providing a unique environment for development and learning in cancer genomics and translational research, with a strong focus on clinical application.
We are seeking to recruit an outstanding scientist educated to Degree/Masters or equivalent level of experience in a scientific/ mathematics discipline, experience in next generation sequencing data analysis in the field of cancer genomics are essential. A PhD in bioinformatics, computational biology, cancer genomics or closely related fields is desirable. The successful candidate will play a key role in a large-scale project for earlier diagnosis of cancer, funded by generous grants from Cancer Research UK.
In addition, the post-holder would be expected to provide analysis support for other researchers in the lab, help develop novel analysis approaches and translate into robust software packages. The ideal candidate will have extensive experience of machine learning and data integration approaches for analysis of methylation and genomic sequencing data, and for the Senior Bioinformatics Analyst role, a demonstrated track record of independent leadership of computational biology projects. Demonstrated experience in the development of statistical methods for robust and reproducible data analysis would be an advantage. You will be a highly motivated, detail-oriented individual with excellent communication skills and who is extremely organised. You will be able to work independently and interact well in a multi-disciplinary team environment.
Informal enquiries may be made to the Rosenfeld lab management team by emailing firstname.lastname@example.org.
Fixed-term: The funds for this post are available for 12 months in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a security check.
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The closing date for applications is 02 March 2021. The interview date is TBC.
Please quote reference SW25582 on your application and in any correspondence about this vacancy.
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