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Qualified Health

Data-driven healthcare compliance and security

Business Analyst

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, or a related technical field is required.
  • Recent graduate with 0–2 years of experience and 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 three days per week.

Responsibilities

  • Develop, evaluate, and test AI assistant products end to end for hospital system clients.
  • Engage directly with health system employees to identify high-value use cases.
  • Conduct onsite 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 plans.
  • Use the QH Assistant Builder platform to develop and evaluate AI assistants, coordinating with engineering for technical support as needed.
  • Lead user training and testing, and collect feedback.
  • Coordinate communications and customer support for assistant rollout.
  • Create presentations for regular check-ins and executive meetings.
  • Conduct data analysis to support use-case business cases and impact analysis.
  • Lead user training webinars for existing product deployments.
  • Prepare monthly governance metrics for client accounts.
  • Document best practices and participate in team learning sessions.

Desired Qualifications

  • Hands-on experience building custom AI applications.
  • Familiarity with healthcare workflows, terminology, or information technology 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.
  • Knowledge of generative AI, machine learning concepts, and prompt engineering techniques.
  • Ability to translate technical concepts for non-technical stakeholders and facilitate internal team communication.
  • Analytical and problem-solving ability, attention to detail, and data-driven decision making.
  • Comfort engaging with healthcare professionals at all levels, from frontline staff to executives.
  • Ability to coordinate across internal teams, manage competing priorities, and build consensus.
  • Experience with project management and methodologies to track cross-team initiatives.
  • Flexibility to work in diverse healthcare environments and adapt solutions to varying client needs.
  • Willingness and ability to travel frequently to client sites for extended periods.
  • Curiosity about healthcare challenges and emerging AI technologies.
  • Ability to work independently while supporting team objectives and facilitating team collaboration.

About the Company

Qualified Health

Data-driven healthcare compliance and security

Qualified Health AI provides data-driven software solutions for United States healthcare providers to manage patient data and meet regulatory requirements. The platform collects and processes healthcare information to streamline administrative tasks and support clinical decision-making, using automated tools while ensuring HIPAA compliance, privacy, and security. Beyond data processing, it plans collaborative features such as blogs and teaching games to facilitate knowledge sharing and professional development among healthcare professionals. The company differentiates itself by combining regulatory compliance services with community-building and educational tools, aiming to offer a single ecosystem where providers optimize daily operations, protect patient privacy, and foster continuous learning.

Company size
51-200
Company stage
Series B
Total funding
$155.1M
Headquarters
Palo Alto, CA
Founded
2023

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