About This Role
This is an exciting technology-focussed role that requires innovation, execution, and collaboration. As a Principal Scientist In Silico Biologics Design, 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. You will work closely with the In Silico and automation teams within Protein Engineering to develop and assess advanced machine learning (ML) models for novel antibody and TCR drug candidate optimisation.
What You Will Do
1. Develop and assess advanced machine learning (ML) models for novel antibody and TCR drug candidate optimisation and, looking to impact de novo drug design in the future
2. Utilise our extensive in-house structural and specificity data sets to extract further value
3. 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
What We Offer
We offer a competitive salary of $160,000 - $200,000 per year, depending on experience. Additionally, we provide opportunities for professional growth, collaboration with industry leaders, and access to cutting-edge technologies. Our team values innovation, trust, and collaboration, and we strive to create a dynamic work environment that fosters creativity and excellence.