Research Senior Associate
- Cambridge, MA, United States
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Original job description
Duties: design & execute invitro antibody discovery campaigns using full length IgG yeast display & phage display platforms, applying platform-specific selection strgy to maximize hit diversity & developability; collab w/ comp teams to experimentally interrogate de novo antibody designs in yeast display platform. Independently lead end-to-end discovery campaigns inc library construction, FACS selection strgy dev, sequencing analysis, clone triage & hit confirmation; develop & apply Python-based scripts, data visualization tools & agentic AI-enabled workflows to support high-throughput screening, sequence-function analysis & multi-dimensional antibody discovery datasets; execute NGS-based analysis of antibody discovery campaigns, inc clone enrichment analysis, lineage tracking, sequence prioritization & ID of productive binders across selection rounds; design & lead multi-stage discovery experiments to advance novel biotherapeutic candidates from target validation through lead optimization w/ focus on developability & affinity; construct immune antibody libraries from diverse immune sources, inc mice, humanized transgenic mice & llamas, across multiple antibody formats such as Fab, IgG, sdAb & HCAb to support antigen-specific discovery campaigns; perform mammalian cell culture, ELISA &d multi-parameter flow cytometry; & high-throughput cell sorting sys for single B cell & yeast workflows; screen & characterize outputs from antibody discovery campaigns using biophysical, cell-based & developability assays, inc biolayer interferometry (BLI) & on-cell binding, polyspecificity, stability & expression analyses to support hit confirmation & lead progression; design mol cloning strgy for antibody variable gene amplification, combinatorial library construction & diversity gen for display libraries; apply advanced mol bio techniques inc DNA/RNA extraction, PCR, RT-PCR, restriction enzyme cloning, site-directed mutagenesis & library gen; lead troubleshooting & sci problem-solving efforts w/i discovery progs; perform quantitative data analysis & formulate mechanistic hypotheses to guide prog decisions. Up to 20% remote work allowed. Est salary range reflects expected pay for role. Actual base salary depends on applicant's qualifications, exp, skills, education, certs & work loc & will comply w/ all applicable min wage laws. US employees eligible for med, dental & vision insurance, 401(k), paid time off, sick leave, company holidays, incentive compensation progs & other benefits offered under company policies. REQUIREMENTS: Masters degree in Biochem, Biotech, Mol Bio, Immunology Bioeng, or rel field + 30 months of rel exp. Prior exp must include: design & execute end-to-end antibody discovery campaigns on bicistronic phage display platform advancing immune Fab & single-domain libraries through helper/hyperphage rescue & biopanning selection strgy; lead phage-based antibody discovery campaigns against complex targets from GPCRs, HLAs to wider cell membrane proteome, translating immune libraries into high-affinity, functional binders; building next-gen sequencing (NGS) libraries from Fab & VHH antibody repertoires, amplicon-based library prep, indexing/barcoding, library QC, & prep for Illumina sequencing; leverage multi-parameter flow cytometry & fluorescence-activated cell sorting (FACS)-based sorting, ELISA & Octet-based biolayer interferometry (BLI) to confirm binding & resolve kinetic profiles; interpret flow cytometry experimental and stat data through FlowJo & GraGraphPad Prism, structure vis in PyMOL & design library construction & mutagenesis using Geneious Prime, Geneious Biologics, IgBLAST, SnapGene or similar tools; construct recombinant plasmids and libraries using mol cloning, gene editing, RT-PCR, cDNA/DNA/RNA isolation & Gibson assembly; execute high throughput screening & automation workflows, using liquid handling systems & integrating automated processes. Full time. $89,900 to $141,240 per year.