What are the responsibilities and job description for the Analytical Scientist In Statistical Genetics position at The Institute of Cancer Research?
Under the guidance ofDr Syed Haider, we are seeking a highly motivated researcher to apply and develop computational approaches for investigating genetic and epigenetic determinants of subclonal heterogeneity and plasticity in treatment resistant breast cancers. The successful candidate will employ computational approaches to meaningfully integrate bulk and single cell assays encompassing plasma, DNA, RNA and T / B cell repertoire in order to identify mechanisms of treatment resistance and therapeutic candidates. Beyond computational discovery, suitable therapeutic targets will be subject to pre-clinical investigation and subsequent design of translational studies at our research centre. Hence, this study will be performed closely in collaboration with experimental and clinical investigators at the Breast Cancer Now Research Centre at The Institute of Cancer Research and Breast Cancer Now Research Unit at King's College London.
Your work will focus on datasets generated using the state-of-the-art high-throughput molecular profiling of patient samples throughout disease progression to understand the molecular evolution of breast cancer and response to therapies. In addition, you will be responsible for the analysis and interpretation of high-throughput perturbation screens.
The project offers experience in data science and statistical modelling while investigating the presence of novel molecular biomarkers of aggressive breast cancers. The successful candidate will also have opportunities to optimise / extend our existing computational pipelines for pre-processing of big data in breast cancer. Given the multidisciplinary nature of this position, the successful candidate is expected to play a key role in liaising with wet-lab scientists, as well as write up of research results in a highly collaborative environment.
About you
Applicants should hold a PhD in statistical genetics / genomics or a computational / numerical subject, have programming and scripting experience, and possess relevant experience in statistics and genetics.
Department / Directorate Information
The Breast Cancer Research Data Science Team is an interdisciplinary group of researchers (~12) who are experts in high-throughput data analyses, machine learning and software engineering. We work in a highly dynamic and collaborative environment focussing on the identification of molecular markers of breast cancer by interrogating genomic, epigenomic and transcriptomic datasets profiled using bulk as well as single-cell assays. These molecular datasets are generated using patient samples and patient-derived models (xenografts and organoids), and interpreted alongside clinical covariates of patients. In particular, we are interested in the application and development of bioinformatics methods to help understand the molecular basis of treatment resistant breast cancers.
The Breast Cancer Now Toby Robins Research Centre at the ICR is the first centre in the UK entirely devoted to breast cancer research. Our goal is to advance research into the causes, diagnosis and treatment of breast cancer. It is located in state-of-the-art laboratory space, with excellent core facilities and funding.
What we offer
- A dynamic and supportive research environment
- Access to state-of-the-art facilities and professional development opportunities
- Collaboration with leading researchers in the field
- Competitive salary and pension
