The Role: BigHat Biosciences is seeking a self-motivated Scientist or Senior Scientist to join the Display Technologies team. This individual will expand BigHats ability to discover and engineer next-generation antibodies and to generate high-quality data to improve BigHats machine learning models using display technologies.
Key Responsibilities
- Conceive and lead R&D projects to advance display technologies at BigHat.
- Design antibody libraries to discover and optimize antibodies for affinity cross-reactivity stability and function across diverse formats such as VHH scFv and Fab.
- Construct and QC phage and yeast display libraries of diverse antibody formats to use for in vitro selections (PCR molecular cloning electroporations).
- Perform phage and yeast display selections using naive and affinity maturation libraries to discover and/or engineer novel next-generation antibodies for diverse therapeutic properties including co-selection for multiple key attributes
- Express purify and characterize display-derived molecules using a suite of assays including ELISA flow cytometry BLI/SPR CE-SDS and others.
- Analyze results from display selections to guide next steps and future experiments.
- Collaborate with BigHats Data Science and Machine Learning teams to facilitate data transfer and analysis to further bolster library design and machine learning model training.
- Present experimental plans and results during regular meetings with manager and science teams.
Skills Knowledge and Expertise
- PhD with 3 years of experience
- Extensive experience with phage and yeast display workflows for antibody engineering.
- Experience with general molecular biology tools (PCR Molecular Cloning Mutagenesis) and developing/executing antibody binding assays.
- Effective time management and excellent written and verbal communication skills driving an ability to plan and deliver diverse technical projects simultaneously in a dynamic start-up environment.
- Strong record keeping skills using LIMS and electronic notebooks.
- Excited to work with diverse cross functional teams to onboard new assays and disseminate results.
- Nice-to-haves include previous experience with other display modalities (ribosome mRNA mammalian) NGS prep/analysis of display campaigns and experience using automation for high-throughput assay development.
Total Rewards
The salary estimated for this position is $145000 - $187000 bonus options benefits. Compensation will vary depending on job-related knowledge skills and experience. Actual compensation will be confirmed in writing at the time of the offer.
Required Experience:
Senior IC
The Role: BigHat Biosciences is seeking a self-motivated Scientist or Senior Scientist to join the Display Technologies team. This individual will expand BigHats ability to discover and engineer next-generation antibodies and to generate high-quality data to improve BigHats machine learning models u...
The Role: BigHat Biosciences is seeking a self-motivated Scientist or Senior Scientist to join the Display Technologies team. This individual will expand BigHats ability to discover and engineer next-generation antibodies and to generate high-quality data to improve BigHats machine learning models using display technologies.
Key Responsibilities
- Conceive and lead R&D projects to advance display technologies at BigHat.
- Design antibody libraries to discover and optimize antibodies for affinity cross-reactivity stability and function across diverse formats such as VHH scFv and Fab.
- Construct and QC phage and yeast display libraries of diverse antibody formats to use for in vitro selections (PCR molecular cloning electroporations).
- Perform phage and yeast display selections using naive and affinity maturation libraries to discover and/or engineer novel next-generation antibodies for diverse therapeutic properties including co-selection for multiple key attributes
- Express purify and characterize display-derived molecules using a suite of assays including ELISA flow cytometry BLI/SPR CE-SDS and others.
- Analyze results from display selections to guide next steps and future experiments.
- Collaborate with BigHats Data Science and Machine Learning teams to facilitate data transfer and analysis to further bolster library design and machine learning model training.
- Present experimental plans and results during regular meetings with manager and science teams.
Skills Knowledge and Expertise
- PhD with 3 years of experience
- Extensive experience with phage and yeast display workflows for antibody engineering.
- Experience with general molecular biology tools (PCR Molecular Cloning Mutagenesis) and developing/executing antibody binding assays.
- Effective time management and excellent written and verbal communication skills driving an ability to plan and deliver diverse technical projects simultaneously in a dynamic start-up environment.
- Strong record keeping skills using LIMS and electronic notebooks.
- Excited to work with diverse cross functional teams to onboard new assays and disseminate results.
- Nice-to-haves include previous experience with other display modalities (ribosome mRNA mammalian) NGS prep/analysis of display campaigns and experience using automation for high-throughput assay development.
Total Rewards
The salary estimated for this position is $145000 - $187000 bonus options benefits. Compensation will vary depending on job-related knowledge skills and experience. Actual compensation will be confirmed in writing at the time of the offer.
Required Experience:
Senior IC
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