Senior Scientist, B Cell Repertoires and Antibody Optimization

BioMedicine Design's Endogenous Antibody Discovery Group is seeking a Senior Scientist to expand and diversify lead panels of antibodies for biotherapeutic development. The candidate will be primarily responsible for designing and implementing strategies to thoroughly interrogate rodent antibody repertoires (both paired and single chain) analyzed by Next Generation Sequencing to select optimized antibody candidates. The datasets will reference antibody sequences identified from microfluidics-based plasma and memory B cell selections, as well as hybridoma fusions. The role also requires identification and application of new technologies and workflows to support our ongoing commitment to enhance and streamline discovery of lead therapeutic antibody clones. The candidate will work in collaboration with BioMedicine Design's High Throughput Assay Screening group as well as colleagues in BioMedicine Design's Bioinformatics and Antibody Structure groups.

ROLE RESPONSIBILITIES

• Generate immune libraries from B cell populations for Next Generation Sequencing.
• Analyze and report on paired and single chain immune repertoires from Next Generation Sequencing data sets.
• Apply NGS-based methods to analyze B cell repertoires and to optimize lead antibody candidates.
• Propose and develop novel bioinformatics approaches to supplement and enhance current workflows.
• Scout out, propose, learn and implement new technologies to increase diversity of lead antibody panels.
• Prepare and deliver detailed presentations and reports, both written and verbal, to project teams.
• Communicate and coordinate work effectively in highly matrixed project team environment.

Qualifications

Must-Have

• PhD in Molecular Immunology, Bioinformatics or related field with experience analyzing antibody repertoires.
• Generation of antibody libraries for Next Generation Sequencing.
• Antibody repertoire analysis, both paired and single chain, using NGS datasets.
• Ability to code using Python.
• Ability to generate graphical representations of antibody repertoires to aid data visualization.
• Excellent written and oral communication skills.

Nice-to-Have

• 2 - 3 years of post-doctoral experience.
• Familiarity with R.
• Working knowledge of antibody structure and antibody engineering.
• Knowledge of mouse B cell biology and familiarity with B cell lineage analysis.
• Conversant with machine learning including neural network analysis as it applies to antibody repertoire and sequence analysis/optimization.

PHYSICAL/MENTAL REQUIREMENTS

• Lifting, sitting, standing, walking, bending, ability to perform mathematical calculations.
• Ability to perform complex data analysis.
• Ability to code.

Other Job Details:

• Last Date to Apply for Job: March 5, 2021
• Eligible for Relocation Package: YES
• Eligible for Employee Referral Bonus: YES

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EEO & Employment Eligibility

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Research and Development

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