|Salary:||£29,605 to £33,966|
|Placed On:||21st November 2023|
|Closes:||18th December 2023|
Applications are invited for a research assistant position within the Liquid Biopsies and Cancer Diagnostics Group (www.rosenfeldlab.org) led by Professor Nitzan Rosenfeld at the CRUK Cambridge Institute. The Rosenfeld lab pioneers new approaches for non-invasive molecular diagnostics and analysis of cancer genomes and evolution, using next-generation sequencing of cell-free tumour DNA (ctDNA). We work with large collections of patient material from different clinical studies (encompassing a variety of cancer types), which we analyse by both genome-wide methods and targeted methods for sensitive mutation detection. We aim to build novel tools for cancer diagnostics by developing improved methods and demonstrating clinical utility. We seek to appoint an enthusiastic, hardworking and reliable individual to work on various CRUK funded projects for the earlier detection of solid tumours including breast, ovarian, lung, head and neck and pancreas.
The work will include cataloguing samples and the processing of plasma to extract cell free DNA and the generation of next generation sequencing libraries from cfDNA across these cohorts.
The lab routinely uses amplicon, shallow and deep whole-genome sequencing, and custom capture methods to profile samples from different bodily fluids from patients with various cancer types. The group is a dynamic mix of molecular biologists, bioinformaticians and clinical fellows providing a unique environment for development in cancer genomics, with a strong focus on clinical application. The successful candidate will work closely with all members of the lab, carrying out exploratory analysis of various data-sets.
We are seeking to recruit a motivated research assistant with a BSc or MSc degree and interest in bioinformatics or computational biology. You need to have some backgrounds in next generation sequencing data analysis/machine learning, cancer and/or genome research, or closely related fields. Desired criteria include knowledge in the application of statistical methods for robust data analysis and the use of machine learning approaches for exploration and interpretation of biological/genomic data. You will be a highly motivated 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.
Fixed-term: The funds for this post are available until 31st March 2025 in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a security check.
We particularly welcome applications from women and/or candidates from a BME background for this vacancy as they are currently under-represented at this level in our department/institution/Faculty/School/University.
To apply online for this vacancy and to view further information about the role, please visit: www.jobs.cam.ac.uk/job/44064.
For informal enquiries please contact Rebecca Holmes Rebecca.Holmes@cruk.cam.ac.uk
Please quote reference SW39486 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
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