Senior Bioinformatics Consultant

We’re looking for a contract Bioinformatics Scientist to support cutting-edge computational work at the intersection of CRISPR gene editing and genomic safety assessment. You’ll be embedded with an R&D team building and maintaining the analytical infrastructure that powers off-target profiling assays — work that directly shapes how gene editing therapies are evaluated for safety.

This is a hands-on pipeline engineering role. You’ll spend most of your time designing, building, and validating NGS analysis workflows, collaborating across science and engineering teams, and turning complex genomic outputs into interpretable insights.

• Architect and deploy scalable NGS analysis pipelines (alignment, variant calling, QC, annotation) with reproducibility and GLP compliance in mind
• Optimize and extend existing workflows using Nextflow Tower and cloud-native infrastructure (AWS Batch, ECR, Docker)
• Work closely with wet lab scientists, data scientists, and product teams to integrate multi-source genomic data for off-target safety evaluation
• Build clear, publication-quality visualizations and summary outputs that drive experimental and product decisions
• Maintain rigorous documentation of code, analyses, and validation steps to support regulatory review
• Track and evaluate emerging tools in the NGS, genome editing, and bioinformatics space

Required:

• PhD in Bioinformatics, Computational Biology, Genomics, or equivalent (MS/BS with substantial industry experience considered)
• Strong command of NGS analysis fundamentals — alignment (BWA), variant calling (GATK), and tools like Samtools, Picard, and BEDTools
• Fluency in Python and R for pipeline development and data analysis
• Production experience with Nextflow (Tower familiarity a strong plus) and workflow automation in Linux/HPC or cloud environments
• Direct experience building Docker containers and running batch workloads on AWS (Batch + ECR or equivalent)
• Familiarity with CRISPR systems and off-target detection methodologies
• GitHub-based version control and collaborative development practices

Preferred:

• Prior industry experience in biotech, pharma, or diagnostics
• Exposure to GLP/GxP data management standards
• Infrastructure-as-code background (AWS CDK, Terraform)
• Strong statistical reasoning and reproducible research practices