Investigator, Protein Design

In this role you will

• Work with partner functions to generate, validate, and integrate generative AI models for de novo design and multi‑objective optimization of biologics, such as antibodies (tool and therapeutics), antigens, peptides, and other modalities.
• Develop and apply predictive models for protein design and develop ability engineering, utilizing large‑scale NGS, patient‑derived, and other proprietary in‑house and external data sources.
• Identify and advocate for the opportunities afforded by scientific computation and automation and champion a “predict‑first” culture by maximizing use of predictive technology in experimental lines.
• Collaborate with external groups to further develop protein engineering computational methods.

We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, a pension plan, and shares and savings programme. The role supports a hybrid working model with flexibility between remote and in‑office work.

• PhD or equivalent in Bioinformatics, Physics, Chemistry, Computer Science, Structural Biology, or related fields
• Experience in protein structural analysis
• Experience in one or more programming languages (e.g. Python, C/C++)
• Demonstrated ability to work as a team lead or member; ability to work/lead effectively in a matrix environment
• Demonstrated evidence of working across scientific and technical disciplines to deliver impactful solutions that drive project progression

• Experience developing or applying modern ML architectures for sequence‑ or structure‑based protein design models (LLMs, diffusion models, flow‑matching, GNNs, etc.)
• Experience analyzing protein‑protein interactions and surfaces for design
• Experience analyzing antibody repertoires for sequence‑ and structure‑based design
• Experience with molecular simulation techniques
• Demonstrated learning agility, and scientific curiosity while maintaining focus on driving greater impact in the face of uncertainty and change
• Ability to generate conclusion reports, present data in team meetings and participate in writing of abstracts and publications for the scientific community

As an Equal Opportunity Employer, we are open to all talent. In the United States, we also adhere to affirmative action principles, ensuring that all qualified applicants receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.