AI Lead

About Infinitopes

Infinitopes is a clinical-stage pioneer in precision medicines, born from a Cancer Research UK (CRUK)-led spinout from Oxford University. We are on a mission to significantly enhance patient survival by empowering the immune system to fight cancer metastases. Through proprietary antigen discovery technologies, innovative high-efficiency vectors, and intelligent clinical trial design, we develop solutions that genuinely matter to patients and their families. With over $30 million raised and our first clinical trial underway, we are building a world-class team to scale our impact globally.

The Role
We are seeking an AI Lead who shares our passion for using cutting-edge technology to solve real human biology problems. You will architect and lead our antigen discovery and vaccine design platform, translating complex immunological and proteomics data into insights that directly impact patient outcomes.

Beyond the technical work, you will mentor the next generation of scientists, and foster collaboration across disciplines. You will have the intellectual freedom to innovate while working alongside experimental biologists who bring complementary expertise.

Key Responsibilities

• Design and implement AI/ML architectures that advance our mission of improving patient survival through personalised cancer vaccines
• Build predictive models by synthesising mass spectrometry, genomics, and immunology data
• Establish cloud compute strategies and MLOps infrastructure that balance technical excellence with cost-effectiveness and sustainability
• Lead our AI/ML strategy, cultivating partnerships that expand our collective expertise
• Mentor and develop team members, sharing knowledge and fostering a culture of continuous learning
• Guide collaborative problem-solving, welcoming diverse perspectives and constructive challenge

Skills and Experience

Essential:

• PhD in Computer Science, Computational Biology, or related field (or equivalent experience demonstrating continuous learning and excellence)
• 3+ years applying ML/AI to biological problems, with evidence of real-world impact
• Advanced proficiency in AI and ML frameworks (scikit-learn, XGBoost, PyTorch/TensorFlow)
• Strong software engineering skills (Python, cloud infrastructure AWS/GCP, scalable pipelines)
• Working knowledge of immunology and proteomics with the curiosity to deepen this understanding
• Exceptional communication skills and genuine enthusiasm for working across disciplines
• Demonstrated ability to teach, mentor, or share knowledge with others

Desirable:

• Experience with computational immunology tools (MHC processing/binding predictors, immunogenicity modelling)
• Familiarity with mass spectrometry and RNA-seq data analysis
• Background in biotechnology, especially in collaborative or founding team environments
• Track record of mentoring junior scientists and contributing to their development
• Publications in computational biology or machine learning that demonstrate rigorous, evidence-based thinking

What We Offer
We are committed to creating an environment where you can thrive both professionally and personally:

• Competitive salary and attractive equity scheme – we succeed together
• Generous pension scheme and Health Cash Plan supporting your long-term wellbeing
• Cycle to work scheme promoting sustainable commuting
• UK visa sponsorship for exceptional candidates
• Culture of continuous learning – conference attendance, training opportunities, and knowledge-sharing sessions
• Collaborative, supportive environment where differing views welcomed as a path to better solutions
• Flexible working arrangements that recognise the importance of work-life balance
• Direct impact on patient outcomes – your work will help real people fighting cancer

Join Us
If you are driven by more than just the science, if you believe in combining technical excellence with human compassion, in learning from others while generously sharing your expertise, and in using AI to help patients, we would love to hear from you.

Please send your CV to describing your relevant skills, experiences, and what draws you to Infinitopes\’ mission and values.

Infinitopes is committed to fostering diversity of thought and experience. We welcome applications from all backgrounds and are happy to discuss flexible working arrangements.

Job Types: Full-time, Permanent

Pay: £80,000.00-£94,000.00 per year

Education:

• PhD (required)

Experience:

• Applying ML/AI to biological problems: 3 years (required)

Work Location: Hybrid remote in Oxford OX3 7FZ

Application deadline: 28/01/2026