Senior Biologics Design Specialist
3 days ago
We are focused on delivering first-in-class biological therapies to patients worldwide. Our ImmTAX molecules represent a new generation of precision-engineered drugs that harness the immune system to treat a broad range of diseases, including oncology, infectious diseases, and autoimmune disorders. We strive to create a diverse and inclusive workplace while seeking talented individuals to work with us across various functions that will enable us to deliver new medicines to transform patients' lives.
This exciting role involves providing world-class expertise in machine learning to drive the establishment of robust in silico methodologies that integrate computational predictions with empirical laboratory data. Using our wealth of structural data combined with further in-house and public domain datasets, you will develop ML algorithms to impact the design of future drugs. Working closely with the In Silico and automation teams within Protein Engineering, you will provide scientific and technical leadership relating to machine learning that will ultimately result in further progression of our growing pipeline of first-in-class drugs to benefit patients.
As a Senior Biologics Design Specialist, you will be responsible for developing and assessing advanced machine learning models for novel antibody and TCR drug candidate optimisation. You will utilise our extensive in-house structural and specificity data sets to extract further value, work with colleagues across Research to identify training data from the public domain, and help shape the development of our in-house data sets to support the optimisation of ML algorithms. You will also drive the establishment of virtual screening tools, including protein structure prediction, affinity prediction, peptide human leukocyte antigen (pHLA) specificity prediction, and developability prediction. Additionally, you will assist with TCR library design for multifactorial lead optimisation, work with interdisciplinary teams to integrate machine learning into TCR discovery and optimisation, promote utilisation of ML algorithms among colleagues, mentor and train others in their deployment, and present research outcomes at various levels.
The ideal candidate will have demonstrated ability to build and evaluate machine learning models, at least 8 years of experience in antibody, TCR or biologics design evidenced by a strong publication record, proficiency with protein ML models such as AlphaFold, ESMFold, RFdiffusion, MPNN, advanced Python programming skills focusing on data science and machine learning, managed sizeable research projects, and demonstrates effective coaching skills. A PhD in Computational Biology, Computational Chemistry, Bioinformatics, or related discipline is required.
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Biologics Production Specialist
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Research Director in Biologics Design
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Biologics QC Specialist
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Biologics QC Specialist
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Biologics Production Specialist
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