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Blink Health

Senior Instructional Designer, AI & Simulation Enablement

New York, NY; Seattle, WA; New York City, NY; Seattle, WAUnited States
Senior · Corporate
POSTED 23 SEPTVERIFIED 11H AGO
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Role
47 days opentrue age
Posted 23 Sept
Pay
$151k–$200kno pay posted
Market p25–p75
$151k–$200k
New York · n=56 · 365d to 6 Nov
CompanyBlink Health →
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LLMs

Company Overview:

Blink Health is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody. Our two primary products – BlinkRx and Quick Save – remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients.

BlinkRx is the world’s first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can’t afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn’t have the medication in stock.

We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us!

The Role: As our Senior Instructional Designer, AI & Simulation Enablement, you'll drive our organization's shift toward AI-powered, simulation-based training. You won't just write training content — you'll design, build, and continuously improve realistic practice environments, from conversational role-play scenarios to procedural and technical simulations, that let employees rehearse high-stakes skills safely, repeatedly, and at scale. This role sits deliberately at the intersection of three disciplines: instructional design, live facilitation, and Product/Engineering. You'll translate learning needs into technical requirements that designers or Product and Engineering can build against, and translate those outputs back into the classroom experience for our learners. Success means simulation-based training that is both instructionally sound and technically scalable — and that demonstrably improves performance.

This is a hybrid role based in either New York or Seattle location

What you’ll do

Simulation Design & Strategy

  • Design branching scenarios, role-play conversations, and procedural/technical simulations grounded in adult learning principles and real on-the-job situations.
  • Define what “realistic” and “effective” mean for each simulation — personas, difficulty curves, failure states, and feedback loops — in partnership with SMEs and facilitators.
  • Build and maintain a simulation roadmap aligned to the organization’s highest-priority skill gaps, rather than defaulting to whichever tool is easiest to deploy.

AI Tooling, Prompt Engineering & Build

  • Own the prompt engineering and configuration behind AI-driven simulations (conversational AI role-play, AI-generated scenario content, adaptive difficulty), working within licensed platforms and/or custom-built tools.
  • Evaluate and pilot AI simulation vendors and in-house technologies (e.g., conversational role-play platforms, authoring tools with AI generation, avatar/voice tools) against defined learning outcomes and total cost of ownership.
  • Maintain a working knowledge of the AI/LLM capabilities and constraints relevant to training use cases, translating this into realistic scope and timelines.

Bridging Instructional Design, Facilitation & Product/Engineering

  • Act as the primary liaison between the L&D function and P&E teams building or supporting simulation tooling — writing clear requirements, user stories, and acceptance criteria on the learning side. Serve as a product owner for L&D outcomes.
  • Partner with facilitators and trainers to pressure-test simulations before rollout, incorporating live-delivery feedback into design and technical iteration.
  • Translate technical/platform constraints (data privacy, integration limits, latency, model behavior) into design trade-offs that instructional design and facilitation stakeholders can understand and plan around.
  • Represent L&D in Product/Engineering planning processes where simulation tooling, data, or infrastructure decisions affect training outcomes.
Source · Blink HealthFirst seen 4 NovOriginal ↗