MaxCyte is looking to develop innovative analytical tools and assays to assess the off-target safety profiles of CRISPR-based gene editing systems. This role will focus on developing, optimizing, and supporting bioinformatics workflows and computational pipelines to drive assay development and data interpretation.
Requirements
- 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.
Responsibilities
- Design, prototype, and validate bioinformatics workflows for NGS data analysis supporting novel genomic assays and software tools.
- 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.
Other
- 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.
- Strong organizational, communication, and documentation skills, with the ability to work effectively in a collaborative, interdisciplinary setting.
- Experience in industry preferred.
- Familiarity with regulatory and quality system standards (e.g., GLP, GxP) for bioinformatics data management.
