AstraZeneca is a global, ground-breaking biopharmaceutical company. We are dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare
solutions that enrich the lives of patients. The vision of AstraZeneca Oncology is to redefine cancer, redefine our solutions to cancer, and restore patients' lives. Would you like to be part of this vision?
The Computational Oncology team has expertise in production informatics, bioinformatics and data science and works with our oncology drug project teams throughout the discovery pipeline, from new target discovery to late stage clinical trials.
We are currently seeking an experience, motivated Bioinformatician with expertise in the
genomics of cancer to join the team in the joint AstraZeneca – Cancer Research UK
Functional Genomics Centre (FGC). The FGC is a recently formed world-leading centre of
expertise in genetic screens, cancer models, CRISPR vector design and computational
approaches to big data. Its goal is to identify novel targets and resistance mechanisms to
create new cancer medicines!
The post holder will work within the FGC across AstraZeneca Oncology drug projects to
deliver large scale functional genomic profiling data analyses to support the discovery of
novel targets. In addition, you will develop and combine ground-breaking tools in the
cloud-based FGC Analytics Pipeline for the analysis of screening data from different CRISPR technologies, aligning with the wider AstraZeneca data strategy.
Continuous support and training will be provided for the individual to develop deep specialist knowledge and skill set in the centre’s areas of focus.
To be successful in this role, you will:
You will have a relevant PhD qualification (or equivalent graduate degree plus proven applied experience), combining:
Expertise in the analysis of genomic data covering data QC, handling, processing &
Python and R programming expertise in a Unix environment with track record of contributions to open source projects on platforms such as GitHub.
Analytics pipelining expertise utilising orchestrators such as NextFlow.
Understanding of data and metadata capture and sharing via databases.
Knowledge of cancer genetics and key algorithmic & statistical methods applicable to cancer genomics.
Skilled in effective requirements gathering, communication and key messaging of complex data to non-experts. Effective contributions to collaborative projects / products involving cross-disciplinary and global teams.
Knowledge of pooled CRISPR screening (or RNAi) data analysis.
A detailed understanding of the contribution of bioinformatics to drug discovery.
Expertise in the development of novel statistical approaches for the analysis of biological
Well networked within external bioinformatics and oncology communities.
An excellent publication track record.
Awareness of graph modelling, machine learning, artificial-intelligence, Bayesian analytics or other non-traditional approaches to model biological data.
Please apply now, to join us on our path to change the way new targets are identified for