
Description
We are seeking a Scientist to join our Editor Enzymology team to support early-stage discovery and characterization of our novel gene editing systems. The ideal candidate will contribute to characterizing the enzymatic properties of a range of Arbor-proprietary gene editing tools to predict their efficacy in cells and in vivo. In addition, the role will encompass development and execution of a combination of traditional and high-throughput assays to determine in vitro parameters of our CRISPR nucleases such as binding and activity. The ideal candidate will have ample experience designing and executing diverse approaches leveraging biochemical and cell-based assays to optimize enzymes. The successful candidate will collaborate closely with our diverse team to advance the state-of-the-art in protein characterization while making contributions to develop our gene editing tools into therapies to treat human disease.
- Develop a suite of biochemical assays to evaluate binding and activity of novel gene editing tools
- Conduct affinity measurements using biochemical and biophysical methods such as ITC, DSF, and SPR
- Design and optimize high throughput methods to assay key parameters of CRISPR-based editors in both pooled and arrayed formats and empirically test designs
- Develop and execute on reporter-based assays to evaluate the efficiency of Arbor’s proprietary nucleases
- Execute on transient and stable transfections/transductions and genetic knockout/overexpression in mammalian cells to assess success
- Optimize and troubleshoot tailored assays encompassing protein QC and activity evaluation to support project teams
- Document, compile, and analyze experimental data using electronic lab notebooks
- Communicate and present results at departmental/project meetings and contribute to experimental planning, execution, and interpretation
Requirements
What you bring:
- PhD degree in biochemistry, molecular biology, biology, bioengineering, or a related field with 0-2+ years relevant industry experience or a MS degree with 6-8 years of experience
- Prior experience with biochemical assay development or execution in evaluating enzyme and protein activity/quantification is required
- Experience with conducting next-generation sequencing workflows including library design, library prep, and NGS data analysis is required
- Proficiency in mammalian cell-based experiments utilizing approaches such as transient and stable transfection to test mechanistic hypothesis is required
Added value:
- Prior work with pooled screening formats leveraging stable transduction, library packaging, and sample barcoding is a plus
- Prior experience with CRISPR-based gene editing technologies is a plus, but not required
- Previous work using lentiviruses for gene transduction is preferred
- Prior experience in interfacing with automated liquid handlers (e.g. Echo, Bravo) and incorporating automation/miniaturization into existing experimental workflows is a plus, but not required
- Strong work ethic and motivation with attention to detail
- Ability to efficiently collaborate and work in a highly matrixed, interdisciplinary environment
- Purposeful Action: Start with The Why
- Bold Resilience: Adopt a Growth Mindset
- Humble Authenticity: Start in the Heart
Job Information
- Job ID: 70329931
- Workplace Type: On-Site
- Location:
Cmabridge, Massachusetts, United States - Company Name For Job: Arbor Biotechnologies
- Position Title: Scientist, Editor Enzymology
- Job Function: Scientist
- Job Type: Full-Time
- Min Education: Ph.D.

Arbor Biotechnologies is a venture-backed startup based in Cambridge, MA, composed of a small team of scientists and engineers pushing the boundaries of discovery at the intersection of computer science and biotechnology. Using our diverse backgrounds ranging from machine learning to genome engineering to protein biochemistry, we are building a platform to uncover and characterize nature’s inventions on an unprecedented scale to generate impactful applications in human health and sustainability. We seek highly-motivated ...

