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Company: HENGRUI EUROPE BIOSCIENCES

Job Title: Group Leader Antibody Discovery

Department: Biologics Department

Location: Zürich, Switzerland

About Hengrui:
Hengrui is the biggest Chinese pharma company with 25’000 employees, headquartered in Shanghai. With strong research focus in oncology, diabetes and metabolic diseases, autoimmune diseases, HIV, we have just started transforming into a global player. In 2020, we established our entities in Europe and USA. We are building a new clinical R&D unit headquartered in Basel, Switzerland. We are also building pre-clinical labs in Zürich Switzerland with focus on antibody engineering, mRNA therapeutics and target discovery. We are bringing top European pharma talent to help us build a new exciting international team in the heart of Europe

About this job:
Responsible for the application and development of computational, aided structure-based biologic drug -discovery techniques, drug design, homology modelling, molecular dynamics, statistical analysis and related methods, and procedures for the identification, design and optimization, and design of potential new novel biomolecules/antibody drugs for selected protein targets. Furthermore, he/she will be responsible for overseeing the development and maintenance of software and tools for molecular modelling, structural biology, computational chemistry and other relevant software techniques. Additionally, use crystallographic data to build, analyse and improve improve molecular interactions to improve enhance biologic drug discovery. Work collaboratively with project groups especially including AI/ML machine learning and experimental scientists for the bidirectional data/results exchange for to enable fast, iterative development of the anticipated projects. Help Support experimental scientists to in designing and /identifying therapeutic biomolecules and antibodies enabling novel biotherapeutic designs

Tasks

Job responsibilities:
Essential Job Functions:
Molecular modelling:
  • The discover, design y and optimization of potential biologic drug candidates in ongoing discovery research, based on molecular interactions using molecular modelling software and related tools.
  • Visualization of molecular structures and interactions.
  • binding sites/epitopes on targets of interest
  • Map/Analyse protein-protein interactions and provide binding models for the logical drug modification.
  • Visualization of molecular structures, interactions
  • Identification and /prediction of binding sites/epitopes based on molecular structure.
  • Design Create and improve homology models of various protein targets.
  • Design of biomolecules based of molecular structure to predict engage binding sites for the improvement of specific activation, /inhibition or /neutralization of the selected target.
Bioinformatics support

  • Support optimization and /improvement of lead compounds molecules.
  • Close interaction with other groups in the identification/assessment/improvement of potential targets/leads especially experimental groups
  • Development of new methods for hit/lead identification, optimization, virtual screening, molecular simulations etc.
  • Establish a computational platform for the structure-based drug design process.
  • Maintained accurately up-to-date and complete all relevant data including databases, including all relevant data.
Collaboration

  • Utilize strong leadership skills to mentor, train, and support group members.
  • Close interaction with other groups in the identification, assessment and improvement of potential targets/leads, especially experimental groups.
  • Collaborate scientifically in a multi-disciplinary matrix environment, interacting frequently with local and global colleagues to achieve project success.
  • Manage project responsibilities and prioritize work accordingly, to meet agreed timelines and goals
Requirements

Job requirements:
Experience / Education

  • PhD in Computer Science, Biophysics, Bioinformatics, Computational Biology, and Life Sciences, with strong expertise in data science and machine learning.
  • 5 years of Academic or industrial experience in in all aspects of molecular modelling.
  • Expertise in using molecular modeling and for rational drug design based on it, including antibody-antigen or other protein-protein interactions.
  • Proficiency in commercial modeling software packages, docking and scoring functions.
  • Familiarity with other modern methods in the field of molecular modelling with the purpose of the biomolecules or /antibodies discovery and /improvement.
Knowledge / Skills / Abilities:
  • Deep expertise in peptide and /protein structural and conformation.
  • Experience of Protein or /antibody sequence analysis.
  • Excellent skills in structure-based peptide design methods, modern docking and scoring packages.
  • Expertise in building homology models of various proteins, preferably in antibody-antigen interactions.
  • Capability to build molecular dynamics simulations of docked peptide-protein system.
  • Capable of communicating scientific concepts across all levels of the organization and interacting with stakeholders.
  • Highly collaborative spirit, able to work well within a multi-functional matrix environment.
  • Experience leading communication with external collaborators and CROs.
  • Positive mindset and a can-do attitude.
  • Creative problem-solver, passionate about finding innovative solutions to scientific challenges.
  • Accurate reporting and presentation skills.
  • Knowledge of German or Chinese is an advantage.
I look forward to receiving your application.
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Deadline: 04-05-2024

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