AI Technical Program Management Intern – Part-time

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $25 - $30 / hour

⏱ Part Time

⚪️ Entry-level

📋 Program Manager

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AccessHope

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🏥 Healthcare

☁️ SaaS

🤝 B2B

💰 $33M Series B - AccessHope on 2024-04

Healthcare • SaaS • B2B

AccessHope is a healthcare company that connects local treating oncologists and patients with National Cancer Institute-designated comprehensive cancer center (NCI-CCC) subspecialists to expand access to expert cancer knowledge and improve treatment. They provide personalized case reviews, expert recommendations, clinical trial matching and enrollment support, continuing medical education (CME) programs, and employer- and health-plan-facing benefits to optimize oncology care and reduce waste. AccessHope partners with leading cancer centers (e. g. , City of Hope, Dana-Farber, Johns Hopkins, Fred Hutch, Northwestern, Emory, UT Southwestern) and offers services to employers, health plans, consultants, and treating oncologists. The service aims to bring NCI-level expertise to patients regardless of location, improving outcomes and aligning care with evidence-based standards.

📋 Description

• Maintain an integrated view of active AI initiatives, milestones, dependencies, owners, risks, and decisions • Drive project plans and follow-ups across AI, engineering, product, clinical, operations, security, and other stakeholders • Coordinate working sessions, document decisions, and ensure actions are completed • Identify blockers early and escalate issues requiring leadership decisions • Serve as a coordination point for external AI and technology partners • Track vendor deliverables, timelines, technical dependencies, and open questions • Coordinate vendor integrations, testing, security reviews, and implementation • Help evaluate vendor deliverables against agreed requirements and acceptance criteria • Translate business and clinical use cases into structured requirements, workflows, user stories, and acceptance criteria • Partner with technical teams on AI architecture, data requirements, integrations, model evaluation, and deployment considerations • Coordinate testing and evaluation activities, tracking accuracy, quality, latency, reliability, and other relevant measures • Maintain documentation of AI capabilities, limitations, assumptions, and validation results • Prepare concise program updates for technology and business leadership • Maintain decision logs, risk registers, project dashboards, and meeting outputs • Translate technical progress into clear business language for non-technical stakeholders • Ensure teams have visibility into deliverables, objectives, status, and decisions needed

🎯 Requirements

• Bachelor’s degree required, preferably in Computer Science, Engineering, Information Systems, Data Science, Business/Technology, or a related field • Strong interest in Generative AI, LLMs, AI agents, cloud technologies, and AI product development • Enough technical fluency to work effectively with engineers and AI/data teams; direct model-development experience is not required • Exposure to APIs, cloud platforms, data pipelines, LLMs, RAG, agentic AI, or AI evaluation • Experience with project/product tools such as Jira, Confluence, Azure DevOps, or similar platforms • Prior internship, academic project, or startup experience involving software or AI product development • Interest in healthcare technology or regulated environments • Strong project management, organization, and follow-through • Ability to convert ambiguous discussions into structured plans, owners, and actions • Comfortable working across technical, clinical, operational, vendor, and executive stakeholders • Must be authorized to work in the U.S. without the need for current or future employer-sponsored work authorization • Available to work no more than 28 hours per week

🏖️ Benefits

• 401(k) Plan with Employer Match • Paid Sick leave • Remote work schedule • Part-time paid internship opportunity