The Huiyu Biopharma Research group at Chengdu, China is growing in key areas including computational biology. Our research focuses on discovering innovative biologics for unmet patient’s needs, by applying advanced antibody discovery and protein engineering technologies. In the computational biology group we apply comprehensive computational technologies to accelerate biotechnology research and development. We aim to build an integrated intelligent system to push the boundary of innovation to create better medicines. We work closely with colleagues from discovery and protein engineering, formulation and development, as well as oncology and immunology. Our team is looking for a motivated scientist with computational structural biology expertise to join us and to make a difference for patients. Responsibilities: As an outstanding computational biologist, this scientist will make an impact on our R&D portfolio, with the unique opportunity to help drive discovery projects from inception to early development. Specifically, you will 61 Develop and establish structure-based computational methods and technical framework to advance discovery and development of wide array of therapeutic modalities including antibody, conjugates, fusion proteins and beyond 61 Identify and execute independent structural and computational strategies to accelerate project delivery, as well as to facilitate core platforms 61 Provide structural biology insights to drive protein design for drug-like properties, immunogen or for preferred functionalities 61 Effectively collaborate with cross-functional project teams; identify key needs and apply computational approaches accordingly 61 Maintain strong engagement with external professionals and outside vendors 61 Mentor and develop junior scientists Basic Requirements: 61 Ph.D. in computational & structural biology, structural bioinformatics, or related field; postdoc and/or industry experience preferred 61 Computer programming skills in R or Python in Unix or Linux Preferences: 61 3 or more years of relevant experience beyond education/postdoctoral training in a pharmaceutical, biotech, or research organization 61 Deep domain expertise on protein structure prediction, computational analysis on protein properties, protein-protein interaction, and/or protein-ligand docking and screening 61 Familiar with Alphafold software, database and API 61 Proficient with powerful computational tools, such as Discovery Studio/Biovia, MOE or Rosetta 61 Experience with molecular dynamics simulation, coarse-grained simulation 61 Protein chemistry or protein engineering experience is a plus 61 Creative problem solver and be able to influence team in positive direction 61 Strong teammate and willingness to work effectively in a collaborative, fast-paced, multi-tasking environment Additional Preferences: Experience of or interested in learning 61 Antibody sequence analysis and/or Ig-Seq data analysis 61 Machine learning, deep learning or AI related algorithms
