Jobs at Baylor Genetics

Support the privacy and data protection program by conducting PIAs/DPIAs, responding to data subject requests, investigating and tracking privacy incidents, performing EMR audits, assisting policy and program implementation, and collaborating with cross-functional teams to ensure PHI/PII compliance.

Lead product strategy and roadmap for rare disease genomic diagnostics. Gather market and clinical insights, develop business cases, define product requirements, manage lifecycle and performance, and drive cross-functional alignment for commercialization and continuous improvement.

Lead technical product management for genomics diagnostics by translating clinical, market, and operational needs into technical requirements, user stories, and implementation plans. Own prioritization, roadmaps, and cross-functional delivery with engineering, bioinformatics, lab operations, R&D, and commercial teams. Drive scalable solutions, data-informed decisions, change management, and continuous improvement to ensure product adoption and business impact.

Lead a team of program and project managers to plan, coordinate, and deliver large cross-functional initiatives across product development, clinical operations, IT, regulatory, and laboratory functions. Build PMO capabilities, enforce governance and KPIs, manage risks and resources, report to executives, ensure regulatory compliance (CLIA, CAP, HIPAA, Part 11), and mentor teams to drive successful program outcomes.

Lead planning and delivery of cross-functional, regulated laboratory programs. Coordinate product, clinical, lab operations, IT, regulatory and quality teams; manage timelines, budgets, risks, dependencies, and executive reporting; ensure compliance with CLIA/CAP/HIPAA/Part 11; run governance, stakeholder communications, post-implementation reviews, and mentor project teams.

Lead product portfolio strategy and roadmap for molecular diagnostics/genomics; drive cross-functional alignment, executive communications, data-driven prioritization, business cases, product lifecycle and commercialization, performance & risk management, and develop a high-performing product management team.

Lead enterprise continuous improvement and product optimization initiatives across product, laboratory, clinical, and operational teams. Establish lifecycle management frameworks, KPIs, dashboards, and governance; identify and prioritize improvement initiatives; remove delivery bottlenecks; drive program management best practices, change management, and adoption. Partner with BI/Data teams to automate reporting and deliver insights to executives to improve efficiency, quality, customer experience, and business outcomes in a regulated diagnostics environment.

Analyze NGS sequencing data and evaluate sequencing performance; validate computational algorithms and end-to-end pipelines; support NGS panel design and assay development; perform QA, troubleshooting, and performance monitoring; document methods and validation studies; collaborate with assay development, bioinformatics, and quality teams to support R&D objectives.

The Lead Bioinformatics AI Scientist will lead AI and GenAI R&D initiatives to develop advanced clinical testing and genomic data analysis platforms, leveraging expertise in bioinformatics and machine learning.

The Clinical Genomics Scientist analyzes genetics data, curates variants and genes, summarizes findings for reports, and validates technologies.

Analyze and curate genomic variants and gene-disease correlations per ACMG guidelines, analyze NGS/Sanger/metabolomics/CMA data, draft clinical reports, validate processes and platforms, present findings, and support quality and process improvement activities.

Sell diagnostic products across the Metro Los Angeles region by developing and executing sales strategies, identifying and converting leads, maintaining client relationships, delivering presentations and proposals, negotiating contracts, collaborating with internal teams, performing market research, and monitoring sales performance to meet targets.

Lead and deliver technically complex bioinformatics and dry‑lab projects that enable scalable, validated genomic analysis and reporting. Manage project plans, dependencies, risks, and cross‑functional teams; translate analytical requirements into executable deliverables; track performance metrics; support validation, audits, and regulatory compliance; and report status to leadership to improve operational efficiency and diagnostic quality.

Drive sales growth across Minnesota, North Dakota, and South Dakota by acquiring new accounts, maintaining client relationships, meeting revenue targets, delivering presentations, negotiating contracts, collaborating with internal teams, conducting market research, and preparing forecasts and reports.

The Senior Cost Accountant manages inventory valuation, test costing, and financial postings, supporting month-end close and ensuring compliance with GAAP.

Lead analysis of business processes, gather and document requirements, design and implement system solutions, support deployments, and create reports/dashboards. Collaborate with stakeholders and IT to improve systems, provide user training, and perform post-implementation reviews to enhance performance and efficiency.

Lead and develop software engineering teams to deliver scalable, secure software. Own SDLC delivery, technical planning, architecture support, code quality, testing, CI/CD, deployments, and production support. Mentor and manage engineers, track capacity and delivery metrics, collaborate with product/architecture/QA/security, and drive continuous improvement in processes and operational excellence.

Analyze clinical genomics data, curate variants and gene-disease relationships using ACMG/HGVS guidelines, and draft clinical reports. Support test validation, process improvement, present findings, and monitor turnaround times. Collaborate with laboratory directors, R&D, clinicians, genetic counselors, and bioinformatics as needed.

Lead enterprise data and AI strategy, build scalable data platform and governance, enable analytics and GenAI use cases, ensure regulatory compliance (HIPAA/CAP), and build and mentor a high-performing Data & AI organization aligned with technology, genomic, operations, and commercial teams.

Lead enterprise sales to health systems by building C-suite relationships, identifying new business, aligning solutions to hospital objectives, guiding EMR integrations, supporting negotiations, and representing the company at industry events while ensuring regulatory compliance and measurable ROI.