Senior Protein Engineer, Gene Editing Tools

Rippling, Inc.; Cambridge (MA); On-site; USD 135,000 - 150,000; Full time

Job summary

Arbor Biotechnologies in Cambridge, MA seeks a Senior Scientist to advance protein engineering workstreams for genome editing tools, generating best-in-class molecules. You will design mutants, run cellular and biochemical screens, analyze data, and report results to teams.

You will collaborate with computational and experimental groups, applying AI-enabled design, interpreting results, and guiding next steps while documenting findings for internal stakeholders and potential IP filings.

Qualifications

• PhD in biology, biochemistry, molecular biology, bioengineering, or related discipline with 2+ years of related experience.
• 3+ years of experience engineering enzymes or proteins to improve function, including kinetics, stability, activity, specificity, expression.

Responsibilities

• Drive defined workstreams within protein engineering campaigns, including design, generation, and evaluation of protein mutants and variants.
• Collaborate with project leads and cross-functional partners to plan experimental approaches and follow-up studies.
• Apply structure-guided engineering, deep mutational scanning, or related strategies based on project goals.
• Independently design and execute experiments to test hypotheses and evaluate variant performance.
• Analyze results and recommend next steps to support iterative design-build-test-learn cycles.

Skills

Protein engineering

Molecular biology

Biochemistry

Enzymology

Data analysis

AI design tools

CRISPR gene editing

Illumina sequencing

Education

PhD in biology or related discipline

Tools

PyMOL

ChimeraX

AlphaFold

AAV production

Job description

Arbor Biotechnologies in Cambridge, MA seeks a Senior Scientist to advance protein engineering workstreams for genome editing tools, generating best-in-class molecules. You will design mutants, run cellular and biochemical screens, analyze data, and report results to teams.

You will collaborate with computational and experimental groups, applying AI-enabled design, interpreting results, and guiding next steps while documenting findings for internal stakeholders and potential IP filings.