Research Associate II, Protein Sciences

San Diego, CA
Sep 26, 2018
Required Education
Bachelors Degree
Position Type
Full time


This position is responsible for cell line generation and maintenance for recombinant protein production (expression, scale-up and purification of proteins), and in doing so will lead protein expression efforts of a small group of scientific staff. 

Functions include:

  • High-throughput transient monoclonal antibody (mAb) expression from 96-well plates to large shake-flask cultures
  • Stable cell line and stable pool generation, scale up & maintenance (including but not limited to HEK293 and CHO) for recombinant protein and antibody production
  • Large-scale fed-batch culture of stable CHO clones and pools to provide gram-scale quantities of mAbs for further analysis
  • Transient transfection of HEK293 and CHO cells for routine recombinant protein production 
  • Expression optimization both transiently-transfected and fed-batch cultures
  • Protein production media and methodology optimization 

This position reports to the head of Protein Sciences


Education & Experience

  • Theoretical knowledge typically achieved through a related four-year college experience, such as a Bachelor’s degree in Biological Sciences or a related field
  • Ten years’ progressive experience in cell line development, mammalian cell culture process development and bioproduction.

Knowledge and Competencies

  • Experience with WAVE bioreactors
  • Experience and knowledge of Design-of-Experiment methodology, including fractional factorial analysis and mixing studies
  • Experience with CHO stable cell line generation & screening for optimal expression by ELISA is a plus 
  • Proven track record of scientific accountability and clear ownership of responsibilities
  • Strong knowledge of protein purification, biochemistry and at least some exposure to assay development
  • Strong scientific knowledge of recombinant protein expression
  • Mammalian cell culture and cell transfection methodologies 

Proficiency with sequence analysis software is preferred, including sequence alignments, structure prediction and similarity searches