Training Specialist, Clinical Indication
Baylor Genetics · United States · 2 days ago
RemoteRemoteHuman ResourcesFull-time
Description
The Genetic Counseling Clinical Support Training Specialist, Clinical Indication is responsible for designing and delivering structured training programs that enable rapid onboarding and consistent performance across clinical indication workflows. This role supports workforce scaling by standardizing training, improving ramp time to productivity, and reducing reliance on production staff for onboarding.
Duties And Responsibilities
- Design, implement, and maintain standardized onboarding programs for clinical indication workflows
- Deliver structured training to new hires and ongoing training for existing staff to ensure consistency and quality
- Develop and maintain training materials, including SOPs, job aids, workflow guides, and competency assessments
- Establish and track training metrics (e.g., time to productivity, quality performance post-training) and adjust programs accordingly
- Reduce production impact of onboarding by centralizing and owning training delivery
- Partner with quality and operations leaders to ensure alignment between training content, SOPs, and actual workflow execution
- Identify skill gaps and lead retraining initiatives to improve accuracy, efficiency, and consistency
- Support implementation of workflow changes, including new tools and future AI-enabled processes, through targeted training
- Collaborate cross-functionally (lab, data, operations, RCM) to ensure training reflects downstream workflow needs
- Contribute to process improvement initiatives to enhance scalability and efficiency of clinical indication operations
Skills
- Strong understanding of clinical indication/HPO workflows and genetic testing operations
- Ability to translate complex clinical and operational processes into structured training programs
- Excellent communication and facilitation skills across varied learner levels
- Strong organizational skills with focus on standardization and scalability
- Data-driven mindset, with ability to measure training effectiveness and drive improvements
- Knowledge of regulatory and quality standards (CLIA, CAP)
- Experience with LMS platforms and training tools preferred