Bitscopic · 9 hours ago
Molecular Pathologist (PGx)
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Responsibilities
Clinical Report Review and Sign-Off
Provide final validation and sign-off for clinical pharmacogenomics reports
Ensure the accuracy, completeness and clinical relevance of interpretations derived from NGS data
Variant Analysis and Interpretation
Oversee and validate genotype, haplotype, and structural variant calls across custom biomarkers
Ensure interpretations adhere to standards such as CPIC (Clinical Pharmacogenetics Implementation Consortium, DPWG (Dutch Pharmacogenetics Working Group), and FDA guidelines
Regulatory Compliance
Maintain compliance with CLIA, CAP, and VA standards
Provide necessary documentation and sign-offs to meet regulatory and VA-specific requirements
Collaboration with Bioinformatics Teams
Work closely with bioinformatics teams and software development teams to implement robust PGx interpretation pipelines
Stay current with evolving PGx science and VA’s custom biomarker panels
Knowledgebase Management
Oversee and periodically review the clinical knowledgebase integrated within the PGx platform
Ensure it reflects up-to-date standards and provides actionable PGx insights.
Qualification
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Required
MD/DO, with Pathology Residency/Fellowship training
FACMG Board certification in Molecular Genetic Pathology
Eligibility for credentialing as a high-complexity CLIA PGx Laboratory Director
Minimum of 5 years of experience in clinical molecular pathology with a focus on pharmacogenomics or genomic medicine
Proven experience in reviewing and signing off on clinical genomic reports
Proficiency in interpreting NGS-based pharmacogenomic data
Experience with platforms such as Illumina and ThermoFisher
Familiarity with regulatory standards for NGS informatics pipelines
In-depth knowledge of CLIA, CAP, and FDA regulatory requirements
Familiarity with regulatory standards for NGS informatics pipelines
Excellent communication skills
Experience working in cross-functional teams within healthcare or clinical laboratory settings
Preferred
Prior experience in pharmacogenomics projects within large healthcare organizations or federal healthcare systems, such as the Veterans Affairs (VA)
Additional certifications or training in clinical informatics, bioinformatics or related fields
A basic understanding and experience with the use of Python or R is potentially helpful for discussion with computer programmers building the pipeline