Overview
Applications are invited for a Research Laboratory Technician in NGS to join the group of Dr Alexander Frankell within the Early Cancer Institute on the Cambridge Biomedical Campus. This is an exciting opportunity to join a methods development programme, funded by the Wellcome Trust which aims to develop novel approaches to extract critical biological signals from non-invasively collected samples from individuals diagnosed with or at risk of cancer, for example using circulating tumour DNA in blood plasma.
In particular, we are focused on tracking signals of chromosomal instability and cancer heterogeneity which are critical to the development, progression and treatment resistance of many malignancies. Our methods aim to provide insights into how cancers evolve via longitudinal tracking but also to underpin future cancer biomarkers for detection and risk stratification. Our lab has a background studying malignant development in the oesophagus and lung alongside our collaborators in the TRACERx, OCCAMS and BEST4 studies with whom we work closely (Prof. Charles Swanton, Prof Rebecca Fitzgerald and others).
We are inviting applications from motivated individuals with a strong interest in NGS and diagnostics. During the post there will be opportunities to learn and optimise novel NGS workflows for high depth sequencing with error suppression involving duplex sequencing and, additionally, to develop and/or extend computational skills if desired by the candidate. The successful candidate will also have responsibilities to aid management and efficiency of the laboratory as a whole alongside Dr Frankell.
Responsibilities
* Learn and optimise novel NGS workflows for high depth sequencing with error suppression, including duplex sequencing.
* Develop and/or extend computational skills if desired by the candidate.
* Aid management and efficiency of the laboratory as a whole alongside Dr Frankell.
Qualifications
* Degree in a related field and extensive working experience in methods for NGS library preparation.
* Strong experience in molecular barcoding for deep sequencing, for example using duplex adaptors, and in customising NGS workflows to optimise molecular efficiency.
* Excellent communication skills with a proven track record of interacting effectively within interdisciplinary teams (biologists, medics, computer scientists, etc) and a willingness to become familiar with the somatic evolution field.
Fixed Term and Dates
Fixed Term: For 3 years in the first instance.
Closing date: 10th November 2025
Interview date: 25th November 2025
How to Apply
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. Please ensure that you outline how you match the criteria for the post and why you are applying for this role on the online application form. Please include details of your referees, including email address and phone number, one of which must be your most recent line manager. Please quote reference RD47644 on your application and in any correspondence about this vacancy.
Health and Compliance
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
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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