Sr Bioinformatics Scientist

Required Skills & Experience

• Advanced degree (MS or PhD) in Bioinformatics, Computational Biology, Biostatistics, Computer Science, or a related field
• 6–7+ years of hands-on experience in bioinformatics, including pipeline development, algorithm design, and data analysis
• Strong expertise with NGS technologies and associated methods (e.g., whole genome sequencing, RNA-Seq, enrichment workflows, methylation assays)
• Experience working within regulated environments (e.g., CAP/CLIA, FDA, IVDR) and supporting validation efforts
• Proven ability to develop and optimize analytical pipelines and workflows for genomic data
• Strong programming skills in Python, including familiarity with testing frameworks and software development best practices
• Experience building and deploying scalable workflows in AWS (preferable with services such as EC2, S3, Lambda, Batch, or Step Functions)
• Background in statistical modeling and/or machine learning applied to biological datasets
• Experience analyzing transcriptomics data (NGS or microarray), including differential expression, dimensionality reduction, and classifier development
• Ability to collaborate cross-functionally with Quality, Regulatory, and Engineering teams throughout development and validation processes
• Demonstrated ownership, initiative, and ability to lead technical or scientific efforts independently

Nice to Have Skills & Experience

· Prior experience working closely with wet-lab teams on experimental design, data interpretation, and iteration cycles · Deeper exposure to genomic data analysis such as variant detection (SNVs, indels, CNVs, structural variants), RNA splicing, and QC processes · Familiarity with germline and somatic mutation biology and development of genomic biomarkers (e.g., TMB, mutational signatures, LOH) · Working knowledge of R for statistical analysis or visualization · Experience with relational and/or NoSQL database systems · Strong communication skills with the ability to translate complex analytical results into clear, digestible insights using visualizations or presentations · Solid troubleshooting mindset with the ability to diagnose and resolve complex technical issues

Job Description

We are looking for a seasoned Senior Bioinformatics Scientist to join a growing Bioinformatics and Data Science team focused on advancing regulated diagnostic products. This individual will play a key role in shaping and delivering next-generation genomic assays by leveraging deep expertise in next-generation sequencing (NGS), computational biology, and regulated product development. The position blends scientific leadership with hands-on technical execution, including building and refining analytical pipelines, designing and interpreting studies, and driving assay performance improvements. This person will partner cross-functionally with R&D, engineering, infrastructure, and regulatory teams to ensure scalable and compliant solutions from development through production. Responsibilities include leading bioinformatics strategy for assay development initiatives, designing robust statistical and machine learning approaches to evaluate assay performance, and building cloud-based, production-ready workflows for large-scale genomic data processing. The role also involves contributing to regulatory documentation, supporting submissions and audits, and clearly communicating complex findings to both technical and non-technical stakeholders. Additionally, this individual will mentor junior team members and help elevate overall scientific and technical capabilities within the group.