Analytical Scientist in Computational Genomics

The Institute Of Cancer Research; United Kingdom; On-site; GBP 39,000 - 50,000; Full time

Job summary

A leading cancer research institute is seeking a motivated researcher with a PhD to develop computational methods for genomic analysis of breast cancer. This full-time role offers competitive salaries, collaboration with prominent researchers, and a supportive research environment focused on innovative cancer treatments.

Benefits

Dynamic and supportive research environment

Access to state-of-the-art facilities

Professional development opportunities

Competitive salary and pension

Collaboration with leading researchers

Qualifications

• PhD in a quantitative field with experience in genomic/transcriptomic datasets.
• Relevant experience in statistics and genetics.
• Programming and scripting skills required.

Responsibilities

• Develop computational approaches for genomic/transcriptomic analysis of treatment-resistant breast cancers.
• Employ computational methods to integrate genomic and imaging data.
• Collaborate with experimental and clinical investigators.

Skills

Programming skills

Scripting skills

Experience in statistics

Experience in genetics

Education

PhD in a quantitative field

Job description

Key Information

• Salary: £39,805 to £49,023 per annum inclusive, dependent on skills and experience.
• Reporting to: Dr Syed Haider
• Duration of Contract: Fixed Term for 3 years in the first instance
• Hours per week: 35 hours (Full Time)
• Location: Chelsea
• Closing Date: 13 July 2025

This role is eligible for ICR Sponsorship. Support will be provided for costs associated with Visa application. If you are considering relocating to the UK, further information can be found here.

Job Details

Under the guidance of Dr Syed Haider, we are seeking a highly motivated researcher to develop computational approaches for investigating genomic and transcriptomic determinants of heterogeneity in treatment-resistant breast cancers. The successful candidate will employ computational methods to integrate bulk and single-cell genomic/transcriptomic and imaging data to identify mechanisms of treatment resistance. The project involves computational discovery, pre-clinical investigation of therapeutic targets, and translational studies 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 field with experience in genomic/transcriptomic datasets
• Programming and scripting skills
• Relevant experience in statistics and genetics

Department/Directorate Information

The Breast Cancer Research Data Science Team is an interdisciplinary group (~12 researchers) specializing in high-throughput data analysis, machine learning, and software engineering. We focus on identifying molecular markers of breast cancer through genomic, epigenomic, and transcriptomic data from patient samples and models, interpreting these alongside clinical data. Our work involves developing bioinformatics methods to understand treatment resistance in breast cancer. The post holder will collaborate closely with Prof. Axel Behrens’ Cancer Stem Cells laboratory.

What we offer

• A dynamic and supportive research environment
• Access to state-of-the-art facilities and professional development
• Collaboration with leading researchers
• Competitive salary and pension

We encourage all applicants to access the detailed job pack attached.

About The Institute of Cancer Research

Why work for us?

As a staff member, you'll enjoy a range of benefits. The ICR supports overseas applicants; further information is here. The Institute, based in London, is a leading cancer research institute with over 100 years of achievement. More about working at the ICR can be found here.

We champion diversity and believe it fuels innovation. We welcome applicants from all backgrounds and are committed to equal opportunity employment, valuing diverse perspectives that enrich our work. If you’re passionate about this role, we want to hear from you—your unique experiences contribute to our team. We strive to create an inclusive environment where everyone’s voice is valued.