Senior Scientist CADD Antibody Design Developer

Senior Scientist CADD Antibody Design Developer

UCB - Union Chimique Belge

Slough, United Kingdom

About the role

You will develop and apply artificial intelligence (AI), machine learning technologies, and physics-based methods in antibody drug discovery. The successful candidate will have a solid understanding of developing and applying AI and advanced computational algorithms to address challenges in modern protein and antibody design.

Who you’ll work with

You will work in the global CADD team alongside multidisciplinary project teams from Antibody Discovery and Development, Structural Biology, Immunology, Data Science and IT.

What you’ll do

• Develop and apply modern computational methodologies to methodologies to design novel antibodies and related protein formats that have the potential to change patients’ lives.
• Collaborate proactively and effectively with colleagues across multiple departments within our company, as well as with external partners.
• Establish a high level of innovation to proactively implement scientific and technological advancement to drive drug discovery effectiveness and efficiency, especially at the intersection of AI/machine learning and molecular design.
• Keep pace of the fast-changing environment with recommendations for application and development of new technologies.
• Define and monitor progress across technology projects, presenting regularly on the progress, impact and delivery to multi-disciplinary teams.
• Offer constructive challenge and champion the continuous application and improvement of CADD methodologies to enhance the drug discovery process.

Interested? For this role we’re looking for the following education, experience and skills

• A PhD (or equivalent) focused on antibodies or protein design with a strong emphasis on developing computational methods.
• Industrial or post-doctoral experience in the field of computational antibody or protein design (2+ years)
• Significant experience with Python and demonstrated algorithm development experience.
• Deep understanding of modern AI based technologies such as co-folding, applied to both structure prediction and property prediction.
• Expertise in structure-based and sequence-based molecular design, including generative AI methodologies applied to antibody or general protein complexes.
• Strong track record of scientific publications and patents.
• Able to communicate effectively in English, both verbally and in writing, and skilled in communicating science across a wide variety of disciplines.