Scientist I, Computational Biology - Contract

Editas Medicine•Cambridge, MA

About The Position

Editas Medicine’s Genomics and Bioinformatics team is seeking a motivated, collaborative Scientist I to support development and application of next-generation sequencing (NGS) data-analysis pipelines for CRISPR gene-editing programs. The role contributes to analysis capabilities supporting research, preclinical-stage, and clinical-stage programs, applying experience with NGS data analysis, sequencing platforms, assay quality control, and data interpretation. The successful candidate will execute and optimize existing workflows and help develop and implement new analytical methods. Potential work includes targeted amplicon sequencing, off-target verification, long-read sequencing, and RNA sequencing. The role works closely with colleagues in Research, Translational Sciences, Process Development, and other functions. The candidate is expected to communicate findings clearly, maintain strong documentation, and contribute scientific input to project strategy and assay development.

Requirements

PhD in bioinformatics, computer science, biology, or a relevant computational discipline for the Scientist I level.
Hands-on experience with NGS data analysis, such as targeted amplicon sequencing, whole-genome sequencing, or RNA sequencing.
Programming and developer skills, such as Linux/Unix, Python, R, and git.
Familiarity with bioinformatics packages and algorithms for NGS analysis, such as bowtie2, STAR, minimap2, samtools, or Bioconductor.
Strong documentation and organizational skills, including experience with electronic laboratory notebooks such as Benchling.
Ability to work effectively in a collaborative, multidisciplinary, timeline-driven environment.
Excellent written and verbal communication skills.

Nice To Haves

Experience with guide RNA sequencing.
Experience analyzing NGS data from CRISPR or other gene-editing modalities, including on-target editing, off-target editing, structural variants, or other editing outcomes.
Experience analyzing Oxford Nanopore sequencing data.
Experience analyzing guide RNA sequencing data from Illumina or Oxford Nanopore sequencing platforms.
Experience analyzing high-throughput targeted sequencing and multiplexed amplicon assays.
Experience supporting assay development in a biotechnology or pharmaceutical environment.
Experience with cloud computing such as AWS, Docker, Snakemake, and agentic AI tools such as Claude Code.

Responsibilities

Perform sophisticated computational analyses of NGS data, using critical thinking, published findings, field best practices, and data-science visualizations.
Partner with computational biology, informatics, and analytical development teams to develop and maintain reproducible, usable, version-controlled, robust computational biology pipelines and workflows.
Define, troubleshoot, and optimize analysis specifications for novel NGS analyses and establish assay acceptance criteria.
Maintain documented workflows, author study reports, and provide technical documentation to support research, analytical development, and regulatory activities.
Present scientific findings to audiences including senior leadership to inform therapeutic-program decisions.