Sr. Clinical Bioinformatics Scientist

Our mission is to build a healthier and more connected world with precision health and genealogy services. We empower individuals with actionable insights into their genetic makeup, fostering a deeper understanding of their ancestry, health, and wellness. By integrating the experience of Gene by Gene Laboratory Services, Family

TreeDNA genealogy, and myDNA reporting services, we strive to deliver cutting‑edge genetic testing and personalized solutions that inspire informed decisions and enhance quality of life. Our team is dedicated to advancing the field of genomics through innovation, research, and a commitment to excellence.

All employees are expected to demonstrate our values of Innovate
, One Team
, and Integrity when carrying out the accountabilities and responsibilities of their role. This how we show up every day for ourselves, our colleagues and our customers and strategic partners to deliver our vision and strategic goals.

Gene By Gene is seeking a senior‑level Clinical Bioinformatics Scientist to develop and maintain high‑throughput genomic pipelines in a regulated clinical laboratory environment (CLIA/CAP). The position will involve transforming raw next generation sequencing (NGS) data into actionable clinical insights, ensuring the accuracy, scalability, and security of diagnostic assays.

• Pipeline Development: Design, optimize, and validate new automated bioinformatics workflows for genetic variant calling, including the following:
• Using or developing software to receive, process, and analyze genetic data.
• Assessing software and programs for suitability to achieve desired analysis goals
• Determination of appropriate analysis parameters and thresholds for identification and evaluation of genetic markers of interest
• Designing defined analysis protocols within the software for routine use by other data analysts, including pre‑set filters and settings
• Validation of developed protocols to demonstrate accurate generation and reporting of results
• Writing or revising code to aid in the processing or analysis of samples though the lab
• Variant Analysis: Use developed analysis pipelines to implement algorithms for detection of SNV’s, Indels, CNV’s, and structural variants from genetic data.
• Clinical Validation: Complete and document the analytical validation of bioinformatics tools to meet regulatory requirements for clinical use, including the analytical validity of risk models to satisfy CLIA / CAP / ACMG requirements.
• Data Management: Oversee large‑scale genomic datasets, ensuring data integrity, security, and HIPAA compliance
• Quality Control: Establish automated QC metrics to monitor run performance and data integrity.
• Collaboration: Work with laboratory directors, clinical geneticists, the research and development team, and IT professionals to integrate and implement bioinformatics tools to fulfill client reporting requirements.
• Report Generation: Work with laboratory directors, clinical geneticists, and IT professionals to create clinically validated reporting pipelines for genetic data interpretation, including Monogenic and Polygenic Risk Scores, Pharmagogenomics (PGx) interpretation, and Carrier Screening.
• Troubleshooting: Resolve technical issues in production pipelines to prevent delays in client report generation and delivery.

• Doctoral Degree in Bioinformatics, Computational Biology, Statistical Genetics, or a related field with 5+ years post‑graduate experience.
• Understanding of general molecular biology and genetic laboratory procedures.
• Ability to apply theoretical knowledge of genetics towards interpretation of genetic data to generate clinical reports.
• Expertise with bioinformatics principles and ability to apply this knowledge towards implementation of genetic analysis programs and clinical report generation pipelines.
• Knowledge of clinical laboratory regulatory requirements for clinical diagnostics and reporting, including familiarity with HIPAA, CLIA, NYSDOH CLEP standards, and ACMG variant interpretation classifications.
• Understanding of population genetics and statistical modeling to account for ancestry,…