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
• 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
• Identify and execute independent structural and computational strategies to accelerate project delivery, as well as to facilitate core platforms
• Provide structural biology insights to drive protein design for drug-like properties, immunogen or for preferred functionalities
• Effectively collaborate with cross-functional project teams; identify key needs and apply computational approaches accordingly
• Maintain strong engagement with external professionals and outside vendors
• Mentor and develop junior scientists
Basic Requirements:
• Ph.D. in computational & structural biology, structural bioinformatics, or related field; postdoc and/or industry experience preferred
• Computer programming skills in R or Python in Unix or Linux
Preferences:
• 3 or more years of relevant experience beyond education/postdoctoral training in a pharmaceutical, biotech, or research organization
• Deep domain expertise on protein structure prediction, computational analysis on protein properties, protein-protein interaction, and/or protein-ligand docking and screening
• Familiar with Alphafold software, database and API
• Proficient with powerful computational tools, such as Discovery Studio/Biovia, MOE or Rosetta
• Experience with molecular dynamics simulation, coarse-grained simulation
• Protein chemistry or protein engineering experience is a plus
• Creative problem solver and be able to influence team in positive direction
• Strong teammate and willingness to work effectively in a collaborative, fast-paced, multi-tasking environment
Additional Preferences:
Experience of or interested in learning
• Antibody sequence analysis and/or Ig-Seq data analysis
• Machine learning, deep learning or AI related algorithms