Overview
Scientist/Senior Scientist, Antibody AI/ML and Bioinformatics at Orion Pharma — Cambridge, UK. The Antibody Discovery & Engineering group is a unit within the Orion Biologics R&D UK Centre, with the main responsibility to discover and develop biologics for clinical use from early research into clinical development and launch.
Orion Pharma is establishing a new Biologics R&D Centre in Cambridge to accelerate biologics research and development, including multi-specific antibodies, Antibody Drug Conjugates (ADC), and CAR-T therapies. The centre complements Orion’s existing R&D in Finland and marks a key step in building future biologics capabilities.
Responsibilities
* Development of AI/ML models to aid antibody candidate selection, support discovery and optimisation via engineering, extract design principles and identify trends in antibody behaviour.
* Analyse and interrogate antibody repertoires using a variety of tools and techniques.
* Support and optimise the integration of data generated by the Biologics R&D Centre and external data sources, and assess antibody sequences.
* Contribute to the development of the next generation platform.
* Establish in silico screening pipelines for antibody libraries using AI/ML models and structure-aware filters to prioritise lead candidates.
* Evaluate and deploy generative design approaches for antibody sequence optimisation.
* Collaborate cross-functionally with protein sciences and discovery biology teams to integrate in silico and experimental design.
Qualifications
* Ph.D. or MSc. in molecular biology, biochemistry, immunology or a related subject with experience in Bioinformatics and Computational Biology applied to antibody R&D and 5+ years of relevant industrial experience.
* A passion for applying machine learning/deep learning to advance antibody discovery and engineering.
* Strong scripting and automation skills.
* Expertise working with antibody sequence and structure datasets.
* Experience in using antibody in silico tools for predicting antibody properties and guiding engineering campaigns.
* Familiarity with structural modelling tools and structural antibody engineering is preferred.
* Experience with bispecifics, multispecifics, Fc engineered, or other antibody-based modalities is a plus.
* Ability to create productive collaborations within the Research & Development team.
* Demonstrated ability to meet performance targets and project initiatives.
* Ability to work independently and collaboratively in multidisciplinary environments.
* Excellent oral and written communication, interpersonal, and analytical skills.
What We Offer
This opportunity is to create AI/ML and Bioinformatics capabilities within the Antibody Discovery and Engineering Department at our new location in Cambridge, UK. This is a leadership opportunity to establish and advance a novel technology while building a state-of-the-art antibody discovery powerhouse within Orion Pharma iMeds/R&D.
A highly innovative R&D pipeline and an enthusiastic working environment with opportunities to leverage your strengths to advance your competence and career.
The potential to innovate and impact future therapies for patients, with an excellent working atmosphere based on appreciation, continuous development, and mutual trust.
Learn more about Orion as an employer at https://www.orion.fi/en/careers/orion-as-an-employer/.
How to Apply
Please submit your CV and cover letter by 19 September 2025. We typically review applications during the application period and may start interviewing before the deadline, so please apply as soon as possible.
About Orion
Orion Pharma is a globally operating Nordic pharmaceutical company with a long history and a diverse portfolio. We are dedicated to making a transformation to become a global player in oncology and pain therapies, with operations across multiple locations and a culture that values collaboration and innovation.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Research and Science
Industries: Pharmaceutical Manufacturing, Biotechnology Research, and Research Services
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