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Job Location | Chennai |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Education / Training |
Functional Area | Bio Tech / R&D / Scientist |
EmploymentType | Full-time |
The incumbent will perform protein expression and purification from various expression systems.Key Responsibilities: Gene cloning, protein expression involving E.coli, & Mammalian cell lines (Insect cell work is highly appreciated) and purification involving small & large scales of batch sizes (2L 20L). Experience with tagged and non-tagged genes for expression and purification, involving expertise in hands-on ion-exchange chromatography, hydrophobic ion chromatography, size-exclusion chromatography, analysis by SDS-PAGE & Western blots, ELISA assays. The candidate should be independently able to purify a protein in a multi-step purification (~ 2-5 steps) and have negligible endotoxin amounts. The candidate should maintain up-to date lab note books at the time of completing the experiment. Ability to work in a team is important and the candidate should demonstrate this objective. Follow environment, health, and safety (EHS) requirements at all times in the workplace ensuring individual and lab/plant safety Attend training on environment, health, and safety (EHS) measures imparted companyEducational Qualification: M.Sc/M.Tech in Biotechnology or related disciplinesTechnical/functional Skills: Expert level in protein expression and purification. Should be conversant with SDS-PAGE gels, western blots, chromatographic modes of purification, understanding of protein analytical data. Maintaining Lab notebooks.Experience:3-6 years post qualificationBehavioral Skills:Should be well versed in verbal and written communication, should be a team player. Should be focused towards results and deliverables. Should have a high moral framework (ethics code) and high data integrity sense.,
Keyskills :
researchvalidationhplcnmrliteratureequal employment opportunitycontinuous improvement facilitationcell linesgene cloninganimal healthconsumer goodsdata integrity