Responsibilities
- Development, validation, and implementation of innovative computational methods and workflows that enable high quality design of peptides, proteins, antibodies, and other complex biologics
- Contributing to the development of our internal modelling and design platforms and relevant computational infrastructure
- Evaluating, onboarding and optimising external tools for our use cases
- Work collaboratively with your colleagues to develop machine learning models that can be used to optimise biologics candidates
- Supporting modelling scientists within the DCD area to build and apply tailored workflows for research projects
Requirements
- PhD (or equivalent) in Computational Biology, Bioinformatics, Structural Biology, Protein Engineering, Machine Learning, or related field; or Master’s degree with 3+ years of relevant industrial experience. Candidates who have recently completed a PhD are encouraged to apply; research during PhD/postdoc counts as experience
- Demonstrated track-record developing computational methods for proteins/biologics (e.g. protein/antibody design, property prediction, structure based design, developability assessments), evidenced by publications, preprints, patents, open-source libraries, or project outcomes
- Strong experience in ML and deep learning method development and Python programming, applied to biological problems
- Good understanding of protein sequence, structure, function, possibly in relation to therapeutics discovery and design
- Good interpersonal skills: communication, group work, goal-oriented
Nice to Have
- Experience with protein design and data-driven ML optimisation
- Experience in usage of HPC and cloud solutions (AWS, Azure, or similar)
Benefits
- Opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind.
Work Arrangement
Hybrid
Team
Structure: In Silico Biologics Discovery team within the Digital Chemistry & Design and the AI & Digital Innovation (ADI) areas
Additional Information
- Please note that applications will be reviewed continuously, and interviews will be planned as soon as a suitable candidate is identified.
- To ensure a fair recruitment process, please refrain from adding a photo in your CV.
- We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
