The Training Specialist designs and delivers training programs for clinical workflows, supporting onboarding, standardization, and aligning with clinical team needs.
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.The position partners closely with clinical, operations, and quality teams to ensure training aligns with current workflows, quality standards, and evolving system capabilities, including future AI-enabled processes.EDUCATION AND EXPERIENCE
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
- Master of Science or Master of Arts in Genetic Counseling from an ACGC-accredited program or equivalent.
- Board certified in Genetic Counseling by ABMGG or ABGC.
- Must be eligible to work in the USA without restrictions.
- Experience: 3–5+ years of experience in a clinical genetic testing laboratory strongly preferred.
- Demonstrated experience in clinical indication review, data abstraction, or clinical workflow execution.
- Prior experience in training, onboarding, or curriculum development preferred.
- 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
- 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.
- Frequently required to sit.
- Frequently required to talk or hear.
- Frequently required to use visual acuity for reading technical materials, reviewing documents, and working on a computer.
- Occasional exposure to laboratory environments or biohazard materials depending on operational needs.
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Similar Jobs
Artificial Intelligence • Productivity • Sales • Software
Serve as a technical Customer Success Manager advising B2B clients on AI-led transformation using monday.com's platform. Drive adoption, design scalable automated solutions, lead technical workshops, use product usage data to identify expansion opportunities, and represent customer needs to Product and Engineering.
Top Skills:
APIsGenerative AiMonday.Com
Fintech • Mobile • Payments • Software • Financial Services
Provide multi-channel technical support for enterprise API partners, diagnose and debug REST APIs, interpret logs and query databases, respond to high-severity incidents, collaborate with engineering and product teams, and capture partner issue trends to improve the platform.
Top Skills:
DatabasesJavaScriptPythonRest ApisSwift
Automotive • Edtech • Kids + Family • Mobile • Social Impact • Transportation
Lead a pod of 5-6 BDMs and CarePartner Specialists to manage onboarding, integration, and performance of professional WAV and Livery fleets. Drive supply-side performance, standardize operational SOPs, manage high-complexity partnerships, escalate operational issues, coach and develop team members, and align supply acquisition with district demand and operational capacity.
Top Skills:
Ai ToolsData ToolsLlmsWorkflow Automation
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
