We are seeking a highly motivated Bioinformatics Scientist to join our interdisciplinary R&D team focused on developing innovative analytical tools and assays that assess the off-target safety profiles of CRISPR-based gene editing systems. The successful candidate will bring deep expertise in bioinformatics, genomics, and next-generation sequencing (NGS) analysis, coupled with strong programming and analytical skills.

This role centers on the development, optimization, and support of bioinformatics workflows and computational pipelines that drive MaxCyte’s assay development and data interpretation efforts. The Bioinformatics Scientist will collaborate closely with colleagues across R&D, Data Science, Product Development, and Operations to translate complex genomic data into actionable scientific and product insights.

Key Responsibilities

• Design, prototype, and validate bioinformatics workflows for NGS data analysis supporting novel genomic assays and software tools.
• Partner with interdisciplinary teams to integrate biological, genomic, and computational data for off-target assessment in gene editing systems.
• Develop, optimize, and document scalable bioinformatics pipelines, ensuring reproducibility, traceability, and compliance with relevant standards (ex. GLP).
• Perform data processing and analysis including read alignment, variant detection, annotation, and quality control across multiple sequencing platforms.
• Evaluate and benchmark bioinformatics algorithms, tools, and reference databases for suitability and accuracy within MaxCyte workflows.
• Provide clear interpretation and visualization of bioinformatics results to guide experimental design and product development.
• Collaborate with software engineering teams to deploy validated pipelines into production environments.
• Maintain thorough documentation of all analyses, pipelines, and validation procedures to support regulatory and scientific transparency.
• Stay current with advances in bioinformatics tools, genome editing technologies, and NGS analysis methodologies.

• Ph.D. or M.S. in Bioinformatics, Computational Biology, Genomics, or a related discipline (or equivalent professional experience).
• At least 2 years of post-graduate experience.
• Demonstrated expertise in NGS data analysis, including alignment, variant calling, annotation, and data interpretation.
• Hands-on experience with commonly used bioinformatics tools and packages (ex. Samtools, BWA, GATK, Picard, BEDTools, or equivalent).
• Familiarity with CRISPR-based gene editing and related off-target assessment methods is required.
• Strong programming skills in Python and R, with experience developing and maintaining computational pipelines.
• Proficiency in Linux environments, version control (ex. GitHub), and workflow management systems (ex. NextFlow, CI/CD).
• Experience with cloud computing environments (ex. AWS, GCP) for large-scale data processing and pipeline infrastructure.
• Hands-on experience building Docker containers and orchestrating batch processing workflows using AWS Batch and Elastic Container Registry (ECR), or similar.
• Proven ability to independently analyze and interpret complex genomic datasets.
• Strong organizational, communication, and documentation skills, with the ability to work effectively in a collaborative, interdisciplinary setting.

Preferred Skills

• Experience in industry preferred.
• Experience integrating multi-omics datasets (transcriptomics, epigenomics, proteomics) to support biological insight.
• Familiarity with regulatory and quality system standards (e.g., GLP, GxP) for bioinformatics data management.
• Working knowledge of statistical and computational approaches for data interpretation, visualization, and reproducibility.
• Familiarity with infrastructure-as-code frameworks (AWS CDK, Terraform).

MaxCyte also offers a comprehensive base salary, annual bonus, and equity. Benefits package include health, dental, vision, life, and disability insurance and generous time off.

MaxCyte is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.