Principal Computational Biologist (Portfolio Generation)
Principal Computational Biologist (Portfolio Generation)

Principal Computational Biologist (Portfolio Generation)

Full-Time 49000 - 63000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead innovative projects using AI and machine learning to advance cancer research.
  • Company: Join Cancer Research UK, the world's largest medical research charity.
  • Benefits: Enjoy a competitive salary, generous benefits, and opportunities for personal development.
  • Why this job: Make a real impact in cancer drug discovery from day one.
  • Qualifications: PhD in bioinformatics or data science with experience in drug discovery.
  • Other info: Collaborative environment with a focus on continuous improvement and scientific excellence.

The predicted salary is between 49000 - 63000 £ per year.

£57,000 - £70,900 plus benefits

Reports to: Group Leader – Quantitative Biology

Directorate: Research & Innovation

Contract: Permanent

Hours: Full time 35 hours per week

Location: Cambridge, Babraham Research Campus, Limited flexibility 3-4 days per week on site

Closing date: 25 January 2026 23:55

This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment.

Please let us know if there is anything about the recruitment process that you would like to discuss, in particular if there are any changes or adjustments that would make it easier for you to apply. Please contact recruitment@cancer.org.uk or 020 3469 8400 as soon as possible.

Visa sponsorship: Cancer Research UK can consider visa sponsorship for this vacancy. If this applies to you, please ensure that this is clearly marked on your application.

Recruitment process: 1st stage interview via Microsoft Teams, 2nd stage will include a presentation followed by competency‑based questions on‑site. Interview date: We will be booking 1st stage interviews on an ongoing basis, 2nd stage in planned for 3 and 6 of February.

At Cancer Research UK, we exist to beat cancer.

About Cancer Research Horizons: As the world’s biggest medical research charity, we’ve helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster. 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 and leadership team, 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 1) bring new treatments to patients faster and 2) tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success.

Based at sites in Cambridge, the CRUK Scotland Institute in Glasgow, and Newcastle University, Cancer Research Horizons employs approximately 200 staff from both industrial and academic backgrounds. This is a new role for the team and real chance to make a tangible impact from day one.

We are looking for candidates who can bring strong experience of AI and machine learning to unlock the power of real patient data. We’re just scratching the surface, and now’s your chance to lead the way.

In this role, you will become an integral part of the Cancer Research Horizon 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.

What will you be doing?

  • Set and drive your computational strategy for the analysis of patient multi‑omics datasets to discover novel oncology targets.
  • Evaluate, develop, and implement new and existing machine learning and AI approaches to uncover actionable biological insights from large multi‑modal oncology datasets.
  • 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.
  • Play a pivotal role in training and developing colleagues.

What are we looking for?

  • PhD in bioinformatics, data science, or equivalent.
  • Experience within a drug discovery environment specifically in a pharma or biotech company.
  • Experienced in the use and development of machine learning and AI approaches for the integration and analysis of large multi‑omics datasets.
  • A strategic thinker with proven scientific leadership, including through matrix management.
  • 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 are designed to guide all that we do.

  • Bold: 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 organisation values and can use them to drive forward progress against our mission to beat cancer.

If you’re interested in applying and excited about working with us but are unsure if you have the right skills and experience we’d still love to hear from you.

What will I gain?

We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high‑quality tools. Our policies and processes enable you to improve your work‑life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page.

How do I apply?

We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won’t be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively.

For more information on this career opportunity please visit our website or contact us at recruitment@cancer.org.uk.

For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.

Our vision is to create a charity where everyone feels like they belong, benefits from and participates in, the work we do. We actively encourage applications from people of all backgrounds and cultures, in particular those from ethnic minority backgrounds who are currently under‑represented.

We want to see every candidate performing at their best throughout the job application process, interview process and whilst at work. We therefore ask you to inform us of any concerns you have or any adjustments you might need to enable this to happen. Please contact recruitment@cancer.org.uk or 020 3469 8400 as soon as possible.

Unfortunately, we are unable to recruit anyone below the age of 18, so that we can protect young people from health & safety and safeguarding risks.

Principal Computational Biologist (Portfolio Generation) employer: Cancer Research UK (CRUK)

At Cancer Research UK, we are dedicated to beating cancer and fostering a collaborative work culture that values boldness, credibility, humanity, and teamwork. Located at the Babraham Research Campus in Cambridge, our team enjoys a supportive environment with generous benefits, ample opportunities for career development, and the chance to make a tangible impact in the field of oncology. Join us to be part of a mission-driven organisation where your expertise in computational biology can lead to groundbreaking advancements in cancer treatment.
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Contact Detail:

Cancer Research UK (CRUK) Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal Computational Biologist (Portfolio Generation)

✨Tip Number 1

Get your networking game on! Connect with professionals in the field of computational biology, especially those at Cancer Research UK. Attend relevant conferences or webinars to meet potential colleagues and learn about the latest trends.

✨Tip Number 2

Prepare for your interviews like a pro! Research the company’s recent projects and be ready to discuss how your experience with AI and machine learning can contribute to their mission. Practice explaining complex concepts in a simple way.

✨Tip Number 3

Showcase your skills! If you have any projects or publications, make sure to highlight them during your interview. Bring along examples of your work that demonstrate your expertise in integrating multi-omics datasets.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, if you have any questions or need adjustments during the process, reach out to us—we’re here to help!

We think you need these skills to ace Principal Computational Biologist (Portfolio Generation)

AI and Machine Learning
Bioinformatics
Data Science
Multi-Omics Data Integration
Computational Biology
Drug Discovery
Programming in Python
Good Coding Hygiene Practices
Communication Skills
Stakeholder Influence
Collaborative Working
Scientific Leadership
Functional Genomics Experiment Design
Analytical Skills

Some tips for your application 🫡

Get to Know Us: Before you start your application, take a moment to explore our website and get familiar with what we do at Cancer Research UK. Understanding our mission and values will help you tailor your application to show how you can contribute to our goals.

Tailor Your CV: Make sure your CV highlights your relevant experience in computational biology, AI, and machine learning. Use specific examples that demonstrate your skills and how they align with the role of Principal Computational Biologist. Remember, we want to see how you can make an impact!

Be Clear and Concise: When filling out the application form, keep your answers clear and to the point. Avoid jargon unless it’s necessary, and focus on communicating your ideas effectively. We appreciate straightforwardness and clarity in your written communication.

Apply Early!: Don’t wait until the last minute to submit your application. We recommend applying as soon as possible to avoid disappointment, especially since this vacancy may close early if we receive a high volume of applications. Get your application in through our website today!

How to prepare for a job interview at Cancer Research UK (CRUK)

✨Know Your Stuff

Make sure you brush up on your knowledge of AI and machine learning, especially as it relates to oncology datasets. Be ready to discuss specific projects or experiences where you've successfully applied these techniques.

✨Prepare for the Presentation

Since the second stage involves a presentation, choose a relevant topic that showcases your expertise in computational biology. Keep it engaging and be prepared to answer questions about your methods and findings.

✨Show Your Collaborative Spirit

This role requires working closely with various teams. Be ready to share examples of how you've effectively collaborated with bench scientists, bioinformaticians, or statisticians in the past. Highlight your communication skills!

✨Embrace the Values

Familiarise yourself with Cancer Research UK's values: Bold, Credible, Human, and Together. Think of ways you can demonstrate these values during your interview, showing that you're not just a fit for the role but also for the organisation's culture.

Principal Computational Biologist (Portfolio Generation)
Cancer Research UK (CRUK)
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