Research Associate - Bioinformatician (Fixed Term)
Key words: Acute myeloid leukaemia, lymphoma, tumour evolution,
haematopoiesis, single cell transcriptomics and accessibility, 3D genome
topology, informatic analysis
We are seeking an enthusiastic and ambitious Research Associate -
Bioinformatician to join the group of Professor Brian Huntly based in the
University of Cambridge Department of Haematology and Wellcome - MRC Cambridge
Stem Cell Institute (CSCI)
(https: // www. stemcells.cam.ac.uk/people/pi/huntly). Our group studies the
mechanisms of transcriptional and epigenetic dysregulation that drive
leukaemia and lymphoma and how these programmes are subverted from their
normal role in haematopoietic stem cells and their subsequent progeny. We
combine functional and genomic experiments in experimental model systems and
patient samples to define normal and pathological mechanisms, identify
therapeutic targets and characterise novel therapies (e.g. Sasca et al, Blood
2019, Gozdecka et al, Nature Genetics 2018, Horton et al Nat Cell Biol 2017).
We are based in the University of Cambridge's new £94m flagship Jeffrey Cheah
Biomedical Centre, with purpose-built lab and bioinformatics space, including
the substantial CSCI Bioinformatics Core. We are a well-established multi-
disciplinary lab with substantial grant funding (e.g. a CRUK Programme Grant
which funds this post) and dedicated bioinformatics and animal support
positions and our own, recently upgraded, servers. We are a highly productive,
internationally recognised group and enjoy collaborations both within
Cambridge and beyond.
Your work will involve analysis of a wide range of genomic data, including
ChIP-Seq, scRNA-Seq, bulk and scATAC-Seq, promoter-based capture Hi-C and a
new technique, direct capture Perturb-Seq, that we are establishing in our
lab. You will need to work with single cell and bulk transcriptomics, 3D DNA-
DNA interaction and transcriptional/epigenetic/cis-regulatory network
modelling. Your role in the group is highly valued and you will work closely
with lab-based researchers and other bioinformaticians to ensure the quality
of our data and its analysis.
You will have a PhD, or equivalent experience, in a relevant discipline. You
will have experience of developing or adapting computational pipelines and
developing your own bioinformatic tools. Experience with analysis of relevant
genomic data, relevant sc-techniques and previous work in haematopoieis and/or
leukaemia/cancer biology are highly desirable.
Informal enquiries should be addressed to Professor Brian Huntly at
Fixed-term: The funds for this post are available until 30 September 2023 in
the first instance.
Click the 'Apply' button below to register an account with our recruitment
system (if you have not already) and apply online.
Closing date: 7th July Interview date: week commencing 19th July
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 e-mail address and phone
number, one of which must be your most recent line manager.
Please quote reference RB26935 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.
Department of Haematology
8 June 2021
7 July 2021