Data Scientist/Bioinformatician - Molecular Oncology

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AI Summary

Join the Molecular Oncology Laboratory to develop novel biomarker-based clinical studies in breast cancer using high-dimensional data analysis. Apply computational statistics and machine learning skills to identify treatment resistance and design precision medicine strategies. Work within a multidisciplinary team led by Dr Ros Cutts and Professor Nicholas Turner.

Key Highlights
Fixed-term contract for 2 years
Salary range £39,805 - £50,862 per annum
ICR Sponsorship available for visa applicants
35 hours per week, full-time position
Located in Chelsea, London
Key Responsibilities
Develop novel analytical approaches for high-dimensional datasets
Apply computational statistics and machine learning skills to identify treatment resistance in breast cancer
Design precision medicine strategies using circulating free DNA and non-invasive assays
Technical Skills Required
Machine Learning Bioinformatics Computational Statistics
Benefits & Perks
Competitive salary
Pension
State-of-the-art facilities
Professional development opportunities
Visa sponsorship
Relocation support

Job Description


Salary: £39,805 - £50,862 per annum. Commencement on the salary range is subject to comparable skills and experience.

Reporting to: Dr Ros Cutts

Duration of Contract: Fixed Term for 2 years

Hours per week: 35 hours per week (Full Time)

Location: Chelsea

Closing Date: Wednesday 8th of July 2026

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

The Molecular Oncology Laboratory, headed by Professor Nicholas Turner, focuses on identifying and understanding resistance to breast cancer treatments with the objective of designing novel approaches to treating cancer. In addition, we are developing novel precision medicine strategies for breast cancer using circulating free DNA and other non-invasive assays of breast tumour phenotypes, with the aim to use such assays to personalise breast cancer therapy.

We are looking to appoint a Data Scientist/Bioinformatician with strong ML skills to work as part of our multidisciplinary team to deliver the next generation of biomarker-based clinical studies in breast cancer. The position will be line managed by Dr Ros Cutts, Senior Bioinformatician (Liquid Biopsy) at the ICR.

The Molecular Oncology lab is increasingly producing more complex high dimensional datasets that require novel analytical approaches and we are looking to appoint someone with strong computational statistics/machine learning skills that can apply novel statistical approaches for data analysis.

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

Why work for us?

As a member of staff, you'll have exclusive access to a range of staff benefits.

The ICR is committed to supporting overseas applicants applying for roles, please click here to find out further information.

The Institute of Cancer Research, London, is one of the world's most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. Further information about working at the ICR can be found here.

At the Institute of Cancer Research, we champion diversity as we believe it fuels innovation and drives impactful research. We welcome applicants from all walks of life, valuing diverse perspectives that enrich our work.

Don't let a checklist of qualifications hold you back – if you're passionate about the role, we want to hear from you. Your unique experiences and backgrounds contribute to the richness of our team. We are committed to being an equal opportunity for all, regardless of ethnicity, gender, age, sexual orientation, disability, or any other dimension of diversity. Join us in creating an inclusive environment where everyone's voice is heard and valued.

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