• Provide bioinformatics support to antibody discovery:

  • Large scale sequence analysis for antibody libraries;

  • Antibody structure modeling and analysis;

  • Ad hoc analysis requests from project teams.

  • Develop bioinformatics tools to assist scientists’ research activities.

  • Develop algorithms for predicting antibody developability properties.

• Develop IT infrastructures to support data analysis and management:

  • Develop databases for sequence or molecule registration, sample inventory, characterization data;

  • Develop applications to support antibody screening workflows and data analysis;

  • Develop applications to support protein production workflows.

• General IT support:

• SharePoint site maintenance;

• Company website maintenance;

• Intranet net drive maintenanc


Qualification and competency requirements:


A. Education/training background:

• 
  Master / PhD in bioinformatics or computational biology;

• or Master / PhD in wet-bench life sciences with experiences of informatics, software engineering or data science.

• At least 2 years working experience in pharmaceutical or biotech companies is required.


B. Knowledge/Skills:

• 
  Mastery of at least one programming language (e.g. Perl, Python, C++/C#, Java) is required. Experience on BioPerl or BioPython or BioJava is plus.

• Unix/Linux environments, Unix/Linux command line tool knowledge are preferred. Experience on Unix/Linux system administration is preferred; knowledge on distributed computing environment is plus.

• Knowledge of data storage and access technologies including SQL is required. Experience of database design and database administration is plus. Experience of MySQL system is plus.

• Experience of Web application development is plus.

• Experience of LIMS system development is plus.

• Working knowledge of standard bioinformatics resources and databases is required.

• Experience of Sanger sequencing data analysis is plus.

• Experience of Next-Gen Sequencing data analysis is plus.

• Knowledge of antibody sequence, structure and function is plus.

• Experience of antibody repertoire analysis is plus.

• Experience of protein structure modeling is plus.

• Experience of data acquisition, processing, transformation, analysis and visualization is plus.

• Experience of machine learning and algorithm development is plus.

• Experience of following software / tools is plus:

  • Molecular biology: VectorNTI, SnapGene, CLC Workbench, etc.,

  • Data analysis and process: Origin, GraphPad Prism, R, Spotfire, etc.,

  • Structure analysis: PyMol, CCP4, UCSF Chimera, etc.,

  • Structure modeling: Rosetta, MOE, Schrodinger, Discovery Studio, etc.,

• Knowledge of molecular biology or protein chemistry or structure biology is plus.

• Knowledge of work flows in drug discovery is plus.
  

  
  

C. Others:


• Good planning and execution skills to meet deadlines and to handle multi tasks.

• Quick learner and good team player.

• Strong problem-solving skills.




职能类别： 医药技术研发人员

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