Senior Research Associate, Antibody Display

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

19% below the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Senior Research Associate, Antibody Display Cambridge, MA USA Your Impact at LILA We're hiring a Senior Research Associate to support development and execution of display workflows to determine the binding, stability, and function of antibodies and other biologics. The role will develop and execute assays to generate highly multiplexed, high-dimensional datasets, and will continually optimize those assays to improve precision, scope, reliability, and speed. You will collaborate with synthetic biologists, automation engineers, and others to make these assays automation-ready. This role partners across cell biology, protein design, and nucleic acid teams to support biologic development programs and the development of scientific super intelligence. What You'll Be Building - Support development of in vitro and in vivo display workflows to determine the binding, stability, and function of antibodies and other biologics. - Implement display workflows to support antibody and biologic development programs and to generate novel high-dimensional datasets that advance scientific super intelligence. - Partner with protein design, nucleic acid, protein, and automation teams to create highly precise and complex libraries of protein designs. - Utilize MACS and FACS for the selection of biologics with desired properties. - Closed-loop experimentation and execution: partner closely with engineering and automation to design and exercise platforms for automated, high-throughput experimentation and data-rich workflows. - Collaborate, lead, and communicate: work with cell biologists, synthetic biologists, automation engineers, protein design scientists, and data scientists to document systems, share insights, and refine best practices in autonomous science. What You'll Need to Succeed - MSc in Molecular Biology,

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