# Associate Scientist, Protein Engineering at Arbor Software

- Company: Arbor Software
- What the company does: Who we are. Arbor Biotechnologies, a clinical stage, next-generation gene editing company based in Cambridge, MA, is advancing a portfolio of first-in-class genomic medicines addressing serious diseases for which there are no existing functional cures, with a... Backed by Accel.
- Company website: https://www.arbor.eco
- Type: Startups
- Level: Associate
- Location: Cambridge, MA
- Work setup: On-site
- Pay: $110K to $120K base salary per year (USD)
- Posted: 2026-09-16
- Apply by: 2026-10-31
- Apply: https://ats.rippling.com/arbor/jobs/49998e88-38d1-4a74-a244-3b95e8252d8a
- Page: https://www.1752.vc/careers/jobs/arbor-software-associate-scientist-protein-engineering/

## About the role

We are seeking an Associate Scientist to participate in protein engineering campaigns for our cutting-edge genome editing tools towards generating best-in-class molecules. You will play a key role in supporting selection and generation of protein mutants/variants, for testing in cellular screens, downstream analytics, and communicating results within the team. You will also work cross-functionally with other teams to support upstream design and downstream hand-off and testing.

## What they're looking for

- Independently plan, execute, optimize, and troubleshoot experiments supporting protein engineering campaigns for genome editing tools
- Contribute to the design, generation, and evaluation of protein mutants/variants, including recommending experimental approaches, controls, and follow-up studies
- Design and execute cell-based screening workflows using transient transfection, nucleofection, and transduction in dividing and non-dividing cell models
- Design, package, and evaluate AAVs for protein variant testing, including troubleshooting production, delivery, and performance issues
- Synthesize, purify, characterize, and test IVT-generated mRNA, including troubleshooting quality, yield, and cellular delivery
- Prepare sequencing libraries and analyze experimental outputs to assess editing outcomes, variant performance, and experimental quality

Tags: Research