- Define and execute an AI-first digital strategy aligned to the genomics lab's growth objectives, including:
- Scaling test volume without linear cost increases
- Improving turnaround time, quality, and operational efficiency
- Supporting expansion into new genomic assays and service offerings
- Identify and commercialize AI use cases that directly impact revenue, margin, and customer experience
- Partner with executive leadership and the Board to translate AI investments into sustained business growth
- AI-assisted variant interpretation and prioritization
- LLM- and NLP-based clinical reporting and interpretation support
- Intelligent automation across accessioning, QC, and lab operations
- Predictive analytics for lab capacity, demand forecasting, and turnaround optimization
- Ensure AI solutions are production-grade, explainable, auditable, and suitable for regulated clinical use
- Establish governance for responsible AI in a clinical genomics environment
- Own architecture and delivery of scalable, cloud-native platforms supporting:
- LIMS extensions and genomics workflow orchestration
- Bioinformatics pipelines and AI-enabled analytics
- Client-facing portals and integration middleware
- Build reusable platform components to accelerate new test launches and client onboarding
- Balance rapid innovation with reliability, security, and compliance
- Client-specific test catalogs and order workflows
- Structured genomic results delivery into clinical workflows
- Status updates, metadata exchange, and operational indicators
- Standardize integration patterns to reduce onboarding time and cost
- Treat interoperability as a growth accelerator, not just a technical requirement
- Own enterprise data strategy across genomic, clinical, and operational datasets
- Enable secure access to data for AI training and analytics while protecting PHI and IP
- Ensure compliance with HIPAA, CLIA, CAP, and applicable international standards
- Build and scale teams across AI/ML, software engineering, data, and product
- Establish operating models that support rapid experimentation and disciplined delivery
- Mentor leaders and foster a culture of accountability, innovation, and executionManage strategic vendors, technology partners, and research collaborations
- 12+ years of leadership experience in AI, software platforms, or digital transformation within healthcare, life sciences, or data-intensive environments
- Proven success scaling technology platforms that directly enabled company growth
- Deep experience taking AI/ML systems from concept through regulated production
- Strong understanding of genomics laboratory workflows, including wet lab and dry lab operations
- Experience supporting client-facing EHR integrations (Epic Aura or equivalent)
- Demonstrated ability to operate effectively in regulated clinical environments
- Direct experience in clinical genomics, molecular diagnostics, or genetic testing laboratories
- Experience commercializing AI-enabled products or platforms
- Familiarity with bioinformatics pipelines and large-scale genomic datasets
- Prior executive leadership experience in high-growth or transformation-stage organizations
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VP Digital - Town of Texas - BigRio
Description
AI-Driven Platforms & Software | Genomics Laboratory
Role Overview
The VP Digital will be a senior executive responsible for driving growth, scalability, and competitive advantage through AI-enabled software platforms in a clinical genomics laboratory. This role sits at the intersection of genomic science, AI/ML, laboratory operations, and commercial scale, with direct accountability for transforming digital capabilities into measurable business outcomes.
The VP will lead the evolution of the company's software, genomics platforms, LIMS ecosystem, AI-driven analytics, and client-facing integrations, enabling the organization to scale test volume, reduce turnaround times, and deliver differentiated value to health system and provider partners.
This is a builder and growth role, focused on converting genomic data, AI, and software into durable market leadership.The VP, Digital will report directly to the COO, with accountability for driving AI-enabled software platforms, genomics systems, and digital capabilities that support operational scale, efficiency, and growth.
Core Responsibilities
AI, Machine Learning & Genomic Analytics
Scalable Digital Platforms & Software Engineering
Client-Facing Epic Aura & Health System Integrations
Data, Governance & Compliance
Leadership, Scaling & Execution
Required Qualifications
Preferred Qualifications
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