Senior Scientist, Microfluidic Selections and NGS Analysis of B cell Repertoires

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 carrying out microfluidics-based selections of B cells, as well as designing and implementing strategies to thoroughly interrogate rodent antibody repertoires (both paired and single chain) analyzed by Next Generation Sequencing and other DNA sequencing methods. In addition, the candidate will analyze the datasets employing established bioinformatics workflows to identify additional antibody candidates with optimized properties. 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. The successful candidate will have a demonstrated track record in some of the following areas:

• Microfluidics-based selection of B cells from immunized rodents.
• Generation of antibody libraries for Next Generation Sequencing.
• Antibody repertoire analysis, both paired and single chain, using NGS datasets.
• Knowledge of mouse B cell biology and familiarity with B cell lineage analysis desirable.
• Ability to code using Python; additional familiarity with R desirable.
• Working knowledge of antibody structure and antibody engineering desirable.
• Conversant with machine learning including neural network analysis as it applies to antibody repertoire and sequence analysis/optimization.

ROLE RESPONSIBILITIES

• Apply microfluidics-based methods to select antigen-specific B cells
• Generate paired and single-chain 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.
• 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, Microfluidics, Next Generation Sequencing or related field.
• Hands-on experience working with primary B cells.
• Generation of antibody libraries for Next Generation Sequencing.
• Antibody repertoire analysis, both paired and single chain, using NGS datasets.
• Ability to generate graphical representation of antibody repertoires to aid data visualization.
• Excellent written and oral communication skills.

Nice to have

• 2 - 3 years of post-doctoral experience.
• Hands-on experience with microfluidics workflows, preferably with immune cells.
• Ability to code using Python.
• 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:

• Eligible for Relocation Package: YES
• Eligible for Employee Referral Bonus: YES

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