Scientist, Computational Biology

Arbor Biotechnologies™, a next-generation gene editing company based in Cambridge, MA, is advancing a pipeline of novel gene editing therapeutics to address a wide range of genetic conditions – from the ultra-rare to the most common genetic diseases. The company’s unique suite of optimized gene editors goes beyond the limitations of early editing technologies to unlock access to new gene targets and has fueled a robust pipeline of first-in-class assets focused on diseases of high unmet need.

With Arbor’s lead program, ABO-101 for the treatment of primary hyperoxaluria type 1, progressing into clinical trials, the company continues to focus their research and development efforts on genomic diseases of the liver and CNS for which there are no existing functional cures. For more information, please visit: arbor.bio.

Passionate, determined, and accountable. Curious, resourceful, innovative, forward thinking, and resilient. Authentic, humble, open-minded and puts team above self. At Arbor, our people embrace these qualities, so if this sounds like you then please read on!

We are seeking an innovative and highly motivated Computational Biology Scientist to join our R&D team. In this role, you will be instrumental in building and maintaining robust computational systems that integrate diverse biological data, driving insights from early discovery through IND-enabling studies. You will serve as a critical interface between our computational and experimental teams, applying your bioinformatics engineering skills to develop and optimize pipelines that directly support our therapeutic programs.

• Perform computational analysis of on-target editing, off-target activities, target identification, and biomarker discovery.
• Design, develop, and product ionize scalable bioinformatics pipelines to analyze diverse NGS data types (e.g., amplicon sequencing, RNA-seq, long-read sequencing), implementing best practices for version control and CI/CD.
• Collaborate closely with lab automation, target screening, and therapeutic development teams on experimental design, data interpretation, and the generation of new scientific hypotheses.
• Summarize complex experimental results and computational insights in various formats, including presentations, scientific publications, and patent filings, to internal and external stakeholders.
• Participate in the development of novel algorithms or methodologies to address computational challenges and accelerate program progression.

• Education:
  
  Ph.D. in Computational Biology, Bioinformatics, Genomics with a strong biological focus, or a closely related quantitative field.
• Experience:
  
  0-2 years of industry experience in computational biology post-Ph.D.
• Good understanding of gene editing principles and the computational analysis of gene editing experiments, including indel analysis, off-target assessment, and advanced editing modalities.
• Proficiency in Python and familiarity with version control systems and CI/CD.
• Experience with workflow management systems (e.g., Nextflow, Snakemake) for building and deploying end-to-end analysis pipelines.
• Experience with cloud computing platforms (e.g., GCP, AWS) for scalable data processing and infrastructure management.
• Experience in machine learning algorithm development and implementation for biological applications.
• Familiarity with therapeutic development principles.
• Ability to translate complex biological questions into actionable computational approaches.
• PLEASE NOTE:
  
  this is an on-site role with required presence in our Cambridge office at least 3 days per week

Our values govern the work we do at Arbor, and we’re hoping that they resonate as strongly with you as they do with us!

• Purposeful Action:
Start with The Why

• Bold Resilience:
Adopt a Growth Mindset

• Humble Authenticity:
Start in the Heart

The anticipated salary range for candidates for this role will be $125,000 - $140,000. The final salary offered will depend on several factors, which may include, but is not limited to relevant years of experience, educational background, industry knowledge, technical skills, and other factors that may prove relevant during the interview process.

We promote diversity and inclusion not just in our recruitment processes, but in everything we do. We’re an equal opportunity employer and we will continue to ensure our recruitment process is free of bias and our workplace is inclusive, positive, and free of discrimination and respecting of all backgrounds and beliefs.