Business Analyst

Qualified Health PBC•Palo Alto, CA

8d•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 work closely with the Engagement Manager to deliver exceptional value to our healthcare clients through innovative AI solutions. This role is ideal for a recent graduate with strong technical aptitude and passion for generative AI applications in healthcare. The Business Analyst will be responsible for identifying, developing, and implementing custom AI solutions that address specific client needs, while supporting broader analytical initiatives and coordinating cross-functional internal efforts. This position requires a blend of technical expertise, client interaction skills, internal collaboration abilities, and willingness to travel to understand healthcare workflows firsthand.

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, or related technical field.
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.
Travel Readiness: Willingness and ability to travel frequently to client sites for extended periods.
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

Own the end-to-end process to develop, evaluate, and test AI assistant products for hospital system clients.
Engage directly with health system employees to identify high-value use cases.
Conduct on-site 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.
Support Engagement Manager on account management activities, 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 internal knowledge sharing through documentation of best practices and participation in team learning sessions.