Research Associate / Senior Research Associate (Computational Biologist)
We are recruiting a Research Associate / Senior Research Associate
(Computational Biologist) to join the Systems Cancer Pathology group at the
CRUK Cambridge Institute, led by Dr Raza Ali. We are a leading group in high
dimensional single cell spatial proteomics (imaging mass cytometry) in
cancer (1,2). The role involves working as part of a diverse team including
pathologists, oncologists, cancer biologists and computational biologists.+
The candidate should hold a PhD in a quantitative discipline (e.g. computer
science, computational biology), but candidates with a PhD in
immunology/cancer biology with strong computational expertise are also
encouraged to apply. You should be highly motivated with an interest in high
dimensional imaging data and developing new quantitative methods to assess the
spatial dynamics of cancer cells and the tumour microenvironment in patient
samples. You will work with Dr Raza Ali, group leader and academic
pathologist. Ours is a young team, combining wet and dry lab.
Our aim is to understand how the tumour microenvironment coevolves with cancer
cells in response to treatment to drive disease relapse and resistance,
primarily in breast cancer. We are assembling imaging datasets of
unprecedented depth and size in both observational studies and clinical
trials. This will enable us to unmask spatial phenotypic traits that emerge
during disease progression and treatment, and to identify those that drive
prognosis and therapeutic response. The successful candidate will lead the
analysis of a large breast cancer study encompassing thousands of samples to
understand organisation of the tumour microenvironment and evolution
throughout treatment, its implications for clinical outcome as well as its
relationship to cancer genetics. A key aim will be to develop the data into an
accessible resource that can be visualised and readily interrogated by the
wider scientific community.
We offer extensive training in tissue pathology, statistical methods for
linking clinical data, analysis of imaging mass cytometry data, as well as the
unique opportunity to tackle these novel data and help set analytic standards.
Single cell spatial proteomics is a fast-developing field, and there will be
ample opportunity to develop new independent research arcs that complement
ongoing studies, including developing software for novel workflows and
integration with complementary modalities. The institute is equipped with
dedicated infrastructure for distributed computation (of which our existing
workflows take full advantage) allowing for rapid, scalable analysis of
burgeoning multiplexed tissue imaging data.
Informal enquiries are welcomed and should be directed to Dr Raza Ali at
Appointment to Senior Research Associate is subject to approval by the Faculty
Board of Clinical Medicine.
Fixed-term: The funds for this post are available for 3 years in the first
instance. This post will be funded by Breast Cancer Now.
Once an offer of employment has been accepted, the successful candidate will
be required to undergo a security check.
1 Ali, H. R. et al. Imaging mass cytometry and multiplatform genomics define
the phenogenomic landscape of breast cancer. Nature Cancer 1, 163-175,
doi:10.1038/s43018-020-0026-6 (2020). 2 Danenberg, E. et al. Breast tumor
microenvironment structures are associated with genomic features and clinical
outcome. Nature genetics, doi:10.1038/s41588-022-01041-y (2022).
Click the 'Apply' button below to register an account with our recruitment
system (if you have not already) and apply online.
Closing Date: 9th June 2022.
Interview Date: TBC.
Please ensure that you upload a covering letter and CV in the Upload section
of the online application. The covering letter should outline how you match
the criteria for the post and why you are applying for this role. If you
upload any additional documents which have not been requested, we will not be
able to consider these as part of your application.
Please include details of your referees, including email address and phone
number, one of which must be your most recent line manager.
Appointment at Research Associate level is dependent on having a PhD. Those
who have submitted but not yet received their PhD will initially be appointed
as a Research Assistant (Grade 5, Point 38 £30,497) moving to Research
Associate (Grade 7) upon confirmation of your PhD award.
Please quote reference SW31112 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.
Cancer Research UK Cambridge Institute
£33,309 - £40,927 or £42,149 to £53,348
28 April 2022
9 June 2022