Business Analyst

Qualified Health

10h•$80,000 - $120,000•Hybrid

About The Position

Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. Job Summary: The Business Analyst will support the Product team in discovering, designing, building, and deploying custom AI assistant solutions for healthcare clients. This role is ideal for a recent graduate with strong technical aptitude, passion for generative AI applications in healthcare, and a desire to learn the product development lifecycle. Working closely with Product Leads, the Business Analyst will be responsible for developing and implementing custom AI solutions that address specific client needs, while supporting product strategy initiatives and coordinating cross-functional efforts. This position requires a blend of technical expertise, client interaction skills, and internal collaboration abilities.

Requirements

Recent graduate (0-2 years of experience) with demonstrated proficiency in generative AI technologies
Advanced understanding of GPT models, prompt engineering, and AI application development
Experience with data analysis tools and methodologies
Able to work onsite in Palo Alto 3 days/week

Nice To Haves

Hands-on experience building custom AI applications
Familiarity with healthcare workflows, terminology, or IT systems
Previous internship or project experience in consulting, client services, or healthcare technology
Experience with data visualization and business intelligence tools
Experience working in cross-functional team environments
Technical Proficiency: Advanced knowledge of generative AI, machine learning concepts, and prompt engineering techniques
Communication: Excellent verbal and written communication skills, with ability to translate technical concepts for non-technical stakeholders and facilitate effective internal team communication
Analytical Thinking: Strong analytical and problem-solving abilities with attention to detail and data-driven decision making
Client Interaction: Comfortable engaging with healthcare professionals at all levels, from frontline staff to executives
Internal Collaboration: Strong ability to coordinate across multiple internal teams, manage competing priorities, and build consensus
Project Coordination: Experience with project management and methodologies to track cross-team initiatives
Adaptability: Flexibility to work in diverse healthcare environments and adapt solutions to varying client needs
Learning Agility: Quick learner with curiosity about healthcare challenges and emerging AI technologies
Initiative: Self-motivated individual who can work independently while supporting team objectives and facilitating team collaboration

Responsibilities

Customized AI Assistant Development: Own the end-to-end process to develop, evaluate, and test AI assistant products for hospital system clients. Key activities include:
Engage directly with health system employees to identify high-value use cases
Conduct product discovery with end users, including workflow mapping, key data and document requirements, product features, and evaluation metrics
Align with stakeholders on product features, user groups, and rollout plan
Leverage the QH Assistant Builder platform to develop and evaluate AI assistants; coordinate with the engineering team on technical support as needed
Lead user training and testing; collect feedback
Coordinate communications and customer support for assistant rollout
Product Strategy & Account Support
Support Product Leads on account management and strategic initiatives, such as:
Creating presentations for regular check-ins and executive meetings
Conducting data analysis to support use case business cases and impact analysis
Leading user training webinars for existing product deployments
Preparing monthly governance metrics for client accounts
Contribute to identify new use case opportunities that can scale across client sites
Contribute to internal knowledge sharing through documentation of best practice and participation in team learning sessions