Senior Bioinformatics Scientist

Job Title:

Senior Bioinformatics Scientist Job Number: 37494

Location:

Remote Job Description

The Senior Bioinformatics Scientist will lead bioinformatics efforts for new and existing diagnostic products, with a particular emphasis on NGS‑based assays in a regulated environment (e.g., CAP/CLIA, IVD). This role combines assay optimization, analytical validation, and pipeline development with hands‑on statistical and machine learning work. You will collaborate closely with molecular biologists, assay development scientists, quality/regulatory teams, and engineering to deliver high‑impact tools and analyses that are ready for clinical deployment.

This is an opportunity to join a mission‑driven diagnostics company at a pivotal stage of growth, with significant visibility across R&D and the chance to shape the next generation of clinically impactful genomic assays.

• Own bioinformatics strategy and execution for assay development, from initial design through validation and deployment, for both new and on‑market products.
• Plan and manage analytical work streams within broader project core teams, ensuring timelines, scope, and deliverables are met.
• Design development and validation studies in partnership with wet lab and clinical teams; define analytical performance metrics and acceptance criteria.
• Develop and apply advanced statistical and machine learning approaches to characterize assay performance, identify failure modes, and guide optimization.
• Translate complex analytical results into clear, actionable insights for cross‑functional partners and leadership.
• Build scalable, automated workflows for large‑scale NGS data processing using cloud infrastructure (e.g., AWS) and containerized environments.
• Partner with software/Dev Ops teams to harden and deploy bioinformatics pipelines into production, with appropriate monitoring and logging.
• Ensure all pipelines and analyses meet applicable regulatory and quality requirements (e.g., CAP/CLIA, FDA, IVDR), including rigorous testing, documentation, and version control.
• Contribute bioinformatics sections to regulatory submissions, audits, and technical reports.
• Mentor and provide scientific/technical guidance to junior bioinformatics and data science team members.

• PhD or MS in bioinformatics, computational biology, statistics, computer science, or a closely related quantitative field.
• 6–7+ years of hands‑on experience in bioinformatics analysis, algorithm development, and end‑to‑end pipeline implementation, ideally in an industrial or clinical diagnostics setting.
• Deep understanding of NGS technologies and library preparation strategies (e.g., whole‑genome, targeted enrichment, RNA‑seq, methylation or other specialty workflows).
• Strong background in quantitative transcriptomics in human disease, including methods such as differential expression, dimensionality reduction, expression‑based classifier development, RNA signatures, and cell‑type deconvolution.
• Demonstrated expertise in machine learning and development of novel computational methods for high‑dimensional molecular data, including benchmarking and validation of algorithms.
• Proven experience designing, implementing, and operating bioinformatics workflows in the cloud (preferably AWS services such as EC2, S3, Step Functions, Batch, Lambda or equivalents).
• Advanced proficiency in Python, including use of testing frameworks, code review, and modern software development best practices (e.g., CI/CD, version control, documentation).
• Experience working side‑by‑side with Quality and Regulatory teams on assay and analytical pipeline verification, validation, and lifecycle management.
• Track record of technical leadership, ownership of complex projects, and the ability to work independently while influencing cross‑functional stakeholders.

• Direct, iterative collaboration with wet lab scientists on experimental design, data interpretation, and troubleshooting.
• Experience with genomic and sequence‑level analyses such as variant calling (SNVs, indels, CNVs, structural variants), NGS QC, splicing analysis, and other secondary/tertiary analyses.
• Familiarity with…