Senior Bioinformatics Scientist

Job Description:

• Lead bioinformatics design, development, and validation for assay development involving new and on-market products
• Coordinate project-core-team planning, execution, and delivery within timelines and budget constraints
• Apply bioinformatics, genomics, and assay-technology expertise to achieve assay-development objectives
• Drive development-study design and analysis with cross-functional teams
• Develop statistical and machine-learning techniques to evaluate assay performance and create optimization strategies
• Communicate analyses, methodologies, and scientific findings to internal teams, external collaborators, and stakeholders
• Develop scalable production-grade workflows for high-throughput NGS data analysis using AWS and containerized environments
• Work with infrastructure and engineering teams to deploy production pipelines
• Ensure compliance with CAP/CLIA, FDA, and IVDR standards through testing and documentation
• Contribute technical documentation and validation reports to regulatory submissions and audits
• Provide scientific guidance and mentorship to junior bioinformatics team members

Requirements:

• PhD or MS in bioinformatics, computational biology, or an adjacent data science field such as biostatistics, statistics, or computer science
• Minimum of 6–7 years of experience in bioinformatics analysis, algorithm development, and pipeline implementation
• Thorough understanding of NGS technologies and library preparation methods, including WGS, enrichment, RNA-Seq, and methylation
• Proficiency in quantitative transcriptomics from NGS or expression microarray data in human disease/biology
• Proficiency in machine learning, novel bioinformatics methodologies, algorithm development, and computational-method benchmarking
• Proven experience developing and deploying bioinformatics workflows in AWS, including EC2, S3, Step Functions, Batch, and Lambda
• Strong proficiency in Python, including testing frameworks and SDLC best practices
• Close collaboration with Quality and Regulatory Affairs on assay and analysis pipeline development and verification
• Demonstrated technical and scientific leadership, ownership, and independent work
• Preferred: experience with wet-lab scientists, variant calling, NGS QC, splicing, circular nucleic acids, germline and somatic mutation processes, TMB, mutational signatures, LOH, R, relational/non-relational databases, data visualizations, technical communication, and troubleshooting

Benefits:

• Competitive compensation and benefits
• Additional discretionary bonuses/incentives may be available
• Restricted stock units may be available
• Career opportunities and opportunities to learn and grow
• Inclusive workforce and workplace
• Equal Opportunity Employer