Principal Computational Biologist (Portfolio Generation)

Cancer Research UK; Cambridge; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A prominent cancer research charity based in Cambridge is seeking an experienced computational biologist to join their Drug Discovery team. The role involves providing expertise in computational biology, particularly in oncology drug discovery, and training team members. Candidates should have a strong background in AI, machine learning, and programming using Python. The organization values collaboration and offers a supportive environment with extensive benefits and development opportunities.

Benefits

Generous benefits package

Career and personal development opportunities

Support for wellbeing

Qualifications

• Experience within a drug discovery environment, specifically in pharma or biotech.
• Ability to train and develop colleagues in computational biology.
• Strong programming skills with good coding hygiene practices.

Responsibilities

• Provide expertise in computational biology for oncology drug discovery.
• Train and develop team members for enhanced performance.
• Collaborate with multiple projects and sites, both internally and externally.

Skills

Computational biology expertise

AI and machine learning experience

Programming in Python

Excellent communication skills

Collaboration skills

Job description

.**Location:** Cambridge, Babraham Research Campus, (Limited flexibility 3-4 days per week on site) 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. 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 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. Furthermore, we actively encourage our colleagues to celebrate our science, by attending conferences, presenting posters, giving talks at events and publishing papers. we are looking for an experienced computational biologist to **In this role you will:**Provide deepexpertiseincomputational biologyand its role inoncologydrug discovery.Play a pivotal role in training and developing colleagues. Experience within a drug discovery environment specifically a pharma or biotech companyProgramming 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 multipleAbility to work collaboratively across projects and sites, also externallyWe’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. 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