Group Head of the Biologics de novo Design Group
hace 2 días
Barcelona
Join to apply for the Group Head Biologics Virtual Screening – Large Molecules Research role at Sanofi . Our Team: Within Large Molecules Research (LMR) we utilize cutting-edge protein engineering technologies for the discovery and optimization of next-generation protein therapeutics. The team has an impressive track record of patents and publications in high-impact journals. You will be a part of our global AI Innovation team which is part of LMR’s Digital Biologics Platform (DBxP). As a global organization, we are dedicated to pushing the boundaries of computational and AI-based protein engineering to design innovative new medicines. • Lead a global team of AI & computational scientists (PhD level) with members from multiple locations (e.g. Germany, Belgium, France, Spain & US) within the AI Innovation department of LMR., • Drive the implementation & evolution of cutting-edge virtual screening design & biologics property prediction methods for Antibody, NANOBODY and additional protein-based modalities., • Provide support to LMR portfolio and innovation projects utilizing the de novo & synthetic library design platform to discover and optimize novel biologics under consideration of resource & timeline planning, external costs, and prioritization., • Mentor, upskill and develop a PhD-level team of AI scientist & focus on retention of key talents in highly competitive environment., • Take a leading role for the implementation and execution of the digital strategy in the area of biologics virtual screening, AI-based methods for biologics property prediction and computational multiparametric optimization of complex multi-specific protein therapeutics within LMR., • Evaluate external landscape, initiate, and drive external partnerships & collaborations for AI-based virtual screening, property prediction and multiparametric optimization., • Oversee, plan, and manage budget for external collaborations, method validations and project support., • Lead cross functional and interdisciplinary workstreams as well as external collaborations in the field of biologics virtual screening, property prediction & multiparametric format optimization., • Manage key internal and external interfaces to key stakeholders and collaborators including LMR wet lab & project teams, Digital R&D, therapeutic units, academia, and external partners., • Stay abreast of the latest advancements in machine learning, AI and related computational methods for biologics optimization and apply them to enhance the company’s competitive edge., • Represent Sanofi at external conferences and increase its footprint with publications and patents., • Experience:, • Ph. D. in a field of computational life sciences, AI/ML or computational protein design (e.g. bioinformatics, computer science, biophysics, computational biology, or life sciences with strong expertise in data science)., • Outstanding expertise in latest AI-based & computational methods for protein design, property prediction and multiparametric biologics optimization., • Strong experience working in the field of computational Antibody/NANOBODY engineering in a Biopharma setting including interactions and coordination of interdisciplinary project and wet lab teams., • Strong track record in method development for protein property prediction & computational protein engineering., • Strong publication and/or patent track record in the field of ML/AI-driven computational protein design & optimization., • Solid understanding of biophysical and biochemical methods for characterization of protein-based therapeutics., • Soft skills:, • Passion to collaborate with others, self-development with a focus on scientific know-how, sharing knowledge, results orientated ways of working and talent development., • Leadership skills to work international and cross-functional in and outside of the department and organization., • Demonstrated ability to influence stakeholders, to communicate effectively and to work in a global and matrix organization., • Background in project management (timelines, budget, project updates and strategies), • Experience in leading, upskilling and developing a team of experts., • Strategic thinking and long-term planning ability., • Excellent communication and presentation skills including ability to successfully interface with senior management., • Ability to make timely decisions and to defend the needs of the section and department., • Open mindset of act for change by challenging current status., • Technical skills:, • Strong expertise in latest state of the art methods for AI-based computational protein design & optimization including protein language models, geometric deep learning approaches, multiparametric optimization and generative sequence/structure generation., • Deep understanding on of multi-specific protein formats (Antibody- & NANOBODY-based) including structural components and the efficient exploration of huge design spaces under consideration of multiple optimization criteria., • Deep expertise with protein structure or sequence featurization/embeddings and protein language models., • Knowledge of antibody/NANOBODY structure, function & engineering., • Proven experience on developing and applying computational methods for the prediction of antibody/NANOBODY biophysical properties and multiparametric optimization., • Proficiency in Python and related libraries for machine & deep learning, data science and protein design., • Ability to develop, benchmark and apply predictive algorithms for protein property prediction and virtual screening., • Experience in handling, curating, and managing large biological data sets and data bases., • Expertise in developing and maintaining computational pipelines and automation of workflows., • Comfortable working in cloud and high-performance computational environments., • Languages:, • Director, • Full-time, • Other, • Pharmaceutical Manufacturing #J-18808-Ljbffr
Página 3