Principal Computational Biologist

Cancer Research UK; Newtown; On-site; GBP 57,000 - 71,000; Full time

Job summary

A leading medical research charity in the UK seeks an experienced Computational Biologist to develop systems-level approaches for understanding cancer molecular networks. You will drive the computational strategy, analyse genomic data, and collaborate with functional genomics scientists. Candidates should possess a PhD in bioinformatics or data science and have experience in drug discovery environments. The role offers a competitive salary of £57,000 - £70,900 plus benefits, working within a dedicated team focused on pioneering cancer research.

Benefits

Up to 12% pension contribution

Income protection

Qualifications

• Experience in drug discovery (pharma, biotech, or academic).
• Experience working with oncology patient datasets.
• Ability to integrate multi-omics datasets.

Responsibilities

• Set and drive the computational strategy for cancer systems biology.
• Develop a biomarker strategy focused on patient data.
• Analyse genomic data to uncover somatic driver mutations.

Skills

Computational biology

Bioinformatics

Systems-level predictive modelling

Programming with Python

Machine learning

Excellent communication skills

Education

PhD in bioinformatics, data science, or equivalent

Job description

Our new strategy sets out to bring deeper mechanistic understanding at the molecular and cellular level to all stages of новости projects, from idea to pre‑clinical candidate. Reporting directly to the Leader of our Quantitative Biology team, we are looking for an experienced computational biologist to develop a systems‑level approach to understanding cancer molecular networks to underpin predictive modelling of patient response that moves beyond single‑gene biomarkers. In this role you will take a mechanistic, causative approach to understanding how patient somatic mutations drive the development of cancer and work closely with functional genomics scientists to test novel hypotheses.

Responsibilities

• Set and drive our computational strategy for integrating cancer systems biology approaches to support key decisions relating to target ID, target validation, and disease positioning.
• Develop a patient‑data focused biomarker strategy underpinned by a systems‑level understanding of cancer molecular pathways.
• Analyse patient коммуни genomic data to uncover key somatic driver mutations and integrate this information with molecular pathways to build a mechanistic understanding of cancer development.
• Provide deep expertise in computational biology and its role in oncology drug discovery.
• Foster a culture of continuous improvement for our computational and analytical approaches.
• Provide scientific and strategic leadership in computational biology across CRH.
• Communicate effectively to influence multiple stakeholders and collaborate across projects and sites, including externally.
• Promote scientific excellence through external publication and presentations.

Qualifications

• PhD in bioinformatics, data science, or equivalent.
• Experience within a drug discovery environment (i.e., pharma, biotech or academic institute).
• Strategic thinker with proven scientific leadership, including through matrix management.
• Experienced in the use and development of cancer systems‑level predictive modelling to uncover the molecular pathways underpinning cancer development.
• Experience of working with oncology patient datasets and using them to test and generate novel hypotheses.
• Experience of integrating multi‑omics datasets (genomic, transcriptomic, proteomic, metabolomic) to infer molecular pathways involved in driving cancer.
• Experience of usingPlayable machine learning and AI tools to support a systems‑level understanding of cancer.
• Programming experience with tools such as Python.
• Experience adhering to good coding hygiene practices such as documentation, testing, and code review.
• Excellent communication skills, ability to describe complex science in an engaging and inclusive manner.
• Ability to build open and honest relationships and influence multiple stakeholders.
• Ability to work collaboratively across projects and sites, also externally.

Our Organisation Values

Bold കോണ്: Act with ambition, courage and determination. Credible: Act with rigour and professionalism. Human: Act to have a positive impact on people. Together: Act inclusively and collaboratively. We’re looking for people who can believe in and embody these values and can use them to drive forward progress against our mission to beat cancer.

About Cancer Research Horizons

Cancer Research Horizons is the world’s biggest medical research charity, helping bring eleven new cancer drugs to market. We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK's established drug discovery teams under one organisation, combining our unique pipeline of cancer biology expertise and access to CRUK’s world‑class academic network, cutting‑edge technology platforms and clinical expertise to bring new treatments to patients faster and tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracingБер risk in our bid to achieve success. Based at sites in Cambridge, the CRUK Scotland Institute in Glasgow, and Newcastle University, CRH employs ~200 staff from both industrial and academic backgroundsіта. This is a new role for the team and a real chance to make a tangible impact from day one. Utilise your expertise to support CRH in taking a bigger, more holistic view of cancer, build robust evidence packages and leverage cutting‑edge systems‑level predictive modelling to uncover the molecular pathways driving cancer development. You will Raj become an integral part of the CRH Drug Discovery team helping to progress novel cancer targets towards patient benefit. We actively encourage our colleagues to celebrate our science by attending conferences, presenting posters, giving talks at events and publishing papers.

£57,000 - £70,900 plus benefits (includes up to 12% pension contribution and income protection).