Analytical Scientist in Computational Genomics

The Institute of Cancer Research; London; On-site; GBP 35,000 - 50,000; Full time

Job summary

The Institute of Cancer Research is seeking a highly motivated researcher to explore computational methods for understanding treatment-resistant breast cancers. The position involves integrating genomic and transcriptomic data and collaborating closely with clinical professionals to develop translational studies. This role offers opportunities in a dynamic research environment with leading experts in the field.

Benefits

Dynamic and supportive research environment

Access to state-of-the-art facilities

Professional development opportunities

Collaboration with leading researchers

Qualifications

• PhD in a quantitative subject with exposure to genomic/transcriptomic datasets.
• Relevant experience in programming and statistics.

Responsibilities

• Employ computational approaches to integrate genomic and transcriptomic data.
• Identify mechanisms of treatment resistance in breast cancer.

Skills

Programming

Scripting

Statistics

Genetics

Education

PhD in a quantitative subject

Job description

Under the guidance of Dr. Syed Haider, we are seeking to recruit a highly motivated researcher to apply and develop computational approaches for investigating genomic and transcriptomic determinants of heterogeneity in treatment-resistant breast cancers.

The successful candidate will employ computational approaches to meaningfully integrate bulk / single-cell genomic / transcriptomic and imaging assays to identify mechanisms of treatment resistance in breast cancer. In addition to computational discovery, resulting suitable therapeutic targets will be subject to pre-clinical investigation and subsequent design of translational studies at our research centre. This study will be performed closely in collaboration with experimental and clinical investigators at the Breast Cancer Now Research Centre, Institute of Cancer Research, London.

About you

The successful candidate must have:

• PhD in a quantitative subject with exposure to genomic / transcriptomics datasets
• Programming and scripting experience
• 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 focusing 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. We are particularly interested in the application and development of bioinformatics methods to understand the molecular basis of treatment-resistant breast cancers.

The post holder will work in close collaboration with the Cancer Stem Cells laboratory led by Prof. Axel Behrens.

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