Protein Scientist (Purification)
- Employer
- BigHat Biosciences
- Location
- San Mateo, CA
- Start date
- Sep 20, 2022
View more
- Discipline
- Science/R&D, Biotechnology, Molecular Biology
- Required Education
- Doctorate/PHD/MD
- Position Type
- Full time
- Hotbed
- Biotech Bay
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The Role: BigHat Biosciences is looking for a motivated and energetic Protein Scientist with a strong background in protein purification to further advance BigHat’s platform for ML-driven antibody discovery and engineering.
*At BigHat we believe in titles that are commensurate with skill set, relative organizational impact, and value contribution; more experienced candidates are encouraged to apply, with the understanding that responsibilities and title would adjust as appropriate.
Key Responsibilities
Preferred Qualifications
*At BigHat we believe in titles that are commensurate with skill set, relative organizational impact, and value contribution; more experienced candidates are encouraged to apply, with the understanding that responsibilities and title would adjust as appropriate.
Key Responsibilities
- Onboard protein purification from 5 mL to 1L scale scale using ÄKTA avant
- Design, develop, and execute purification workflows for single and multi-step purification (affinity purification, IEX, SEC, mixed mode purification etc)
- Purification of various antigen and antibody formats, including fragments, IgGs, novel fusion proteins, and bi- and multi-specifics
- Collaborate with automation team to develop high-throughout affinity purification techniques
- Evaluation and incorporation of emerging technologies for higher yield, increased speed, and/or decreased COGs
Preferred Qualifications
- Ph.D and at least 1 year of hands-on working experience in protein purification, preferably with ÄKTA systems and Unicorn software
- Appetite for learning and using new tools and technologies to support core responsibilities and cross-functional communication
- A strong can-do mentality and desire to thrive in a dynamic start-up environment
- Nice-to-haves include prior experience with expression, analytics, or automation
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