Make your mark for patients
Senior Scientist – CADD, Developer for Digital Antibody Design
We are looking for a top-class candidate who is passionate about science, self-motivated, with excellent team working skills to join our Computer-Aided Drug Design (CADD) team based in our UK offices in Slough (moving to our modern new site in Windlesham in 2027).
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.
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Collaborate proactively and effectively with colleagues across multiple departments within our company, as well as with external partners.
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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.
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Keep pace of the fast-changing environment with recommendations for application and development of new technologies.
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Define and monitor progress across technology projects, presenting regularly on the progress, impact and delivery to multi-disciplinary teams.
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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.
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Industrial or post-doctoral experience in the field of computational antibody or protein design (2+ years)
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Significant experience with Python and demonstrated algorithm development experience.
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Deep understanding of modern AI based technologies such as co-folding, applied to both structure prediction and property prediction.
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Expertise in structure-based and sequence-based molecular design, including generative AI methodologies applied to antibody or general protein complexes.
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Strong track record of scientific publications and patents.
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Able to communicate effectively in English, both verbally and in writing, and skilled in communicating science across a wide variety of disciplines.
Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!
About us
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science.
Why work with us?
At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential.
At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless expressly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on [email protected]. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
