1 день назад
Senior Enablement Analyst (Healthcare Data)
130 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Enablement Analyst (Healthcare Data): Creating customer-facing notebooks, guides, FAQs, and walkthroughs that help customers understand omni-modal healthcare data and build analytics and machine learning workflows with an accent on EHR data models, privacy-preserving de-identification, and patient journey analysis. Focus on facilitating large data exports, explaining complex product behavior, and building reusable technical enablement assets that reduce customer support needs.
Location: Seattle, WA; hybrid model with flexibility to work from anywhere in the United States; in-person attendance is required at least once per year. Meetings are optimized for Pacific Time, with ad hoc meetings between 8am and 6pm PT.
Base pay: $130,000–$160,000 per year, plus eligibility for stock options.
Company
builds a health provider-led data platform that helps researchers, clinicians, and families use health data to improve care and accelerate discovery.
What you will do
- Develop customer-facing enablement content, including notebooks, guides, FAQs, slide decks, and walkthroughs.
- Facilitate large exports of omni-modal data to customer environments.
- Help customers understand clinical, administrative, notes, and imaging tables and their relationships.
- Explain de-identification, quasi-identifiers, privacy considerations, profiles, date handling, suppression logic, and ML readiness.
- Support analytics, patient journey analysis, and predictive modeling workflows using machine learning.
- Partner with product, solution engineering, support, and customer teams to identify documentation gaps and improve adoption.
Requirements
- Experience in customer enablement, solutions consulting, analytics, or data science.
- Ability to explain complex technical concepts in clear, practical language.
- Familiarity with healthcare and EHR data; experience with imaging data is preferred.
- Comfort working with notebooks, data dictionaries, SQL, Python, or similar analytical tools.
- Experience supporting technical customers with analytics or machine learning workflows using omni-modal data.
- Applicants must be authorized to work in the United States for any employer; visa sponsorship or work permits are not available.
Nice to have
- Experience with patient journey analysis, clinical data modeling, or omni-modal data.
- Familiarity with imaging metadata and its connection to clinical records.
- Experience supporting enterprise or strategic customers with technical enablement.
- Experience creating customer-facing materials for highly technical audiences.
Culture & Benefits
- Mission-driven work focused on improving healthcare through data.
- Hybrid work with flexible work hours and flexible paid time off.
- Medical, dental, and vision insurance plans.
- 401(k) plan, stock options, and generous parental leave.
- Professional development, training, and regular virtual and in-person team activities.
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