Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко описана и сочетает сложную аналитику в здравоохранении с современными платформами данных и техническим лидерством; при директорском уровне сохраняется значительный объем практической работы.
?Лидерство без отрыва от практики
Современный стек
Здравоохранение и аналитика
Четкие обязанности
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Director, Life Sciences Analytics and Solutions (Healthcare Analytics): Designing and scaling advanced healthcare analytics solutions from large-scale claims and clinical datasets with an accent on longitudinal patient journeys, segmentation, cohort methodologies, and reusable analytical models. Focus on optimizing Databricks, SQL, Python, and Spark workflows, transforming fragmented data into standardized assets, and leading cross-functional delivery of validated analytical solutions.
Location: Virtual Office; other location: Centennial, CO 80111, United States
Estimated hiring range: $117,600.00–$206,000.00 per year, plus incentive eligibility.
Company
hirify.global develops healthcare consulting, research, data products, and analytical solutions.
What you will do
Lead complex analytical solutions using large-scale administrative claims, clinical, and other healthcare datasets.
Develop longitudinal patient journey analyses, disease and treatment progression models, segmentation, cohort identification, attribution, risk adjustment, and statistical models.
Translate client and business requirements into validated, reusable datasets, analytical models, methodologies, dashboards, applications, and client-facing products.
Transform and optimize healthcare datasets with Databricks and related platforms, using SQL, Python, and Spark for large-scale claims processing and advanced analytics.
Establish standards for documentation, data lineage, data quality, testing, validation, version control, reproducibility, and appropriate-use limitations.
Partner with consulting, product, engineering, data science, and technology teams while leading workstreams, mentoring colleagues, and influencing analytical standards.
Requirements
7 or more years of related experience working with large-scale healthcare data, including administrative claims, clinical, or other longitudinal healthcare datasets required.
Advanced experience developing healthcare analytics with SQL and Python, plus Spark and Databricks or comparable large-scale data processing platforms required.
Experience with longitudinal patient analyses, cohort methodologies, patient or provider segmentation, attribution methodologies, risk adjustment, statistical modeling, or similar advanced healthcare analytics required.
Strong understanding of healthcare claims structures, coding systems, patient populations, utilization patterns, and healthcare data limitations required.
Experience transforming complex or fragmented datasets into standardized, reusable analytical models and assets required.
Strong analytical problem-solving skills and the ability to work independently through incomplete data, ambiguous requirements, methodological limitations, and complex business questions required.
Strong communication and consulting skills, including the ability to explain sophisticated analytical work.
Nice to have
Relevant bachelor’s degree preferred.
Advanced degree in analytics, statistics, data science, epidemiology, health economics, computer science, healthcare informatics, or a related field is a plus.
Experience converting custom analytical work into repeatable, automated, and scalable methodologies or solutions preferred.
Experience partnering across consulting, product, engineering, data science, technology, or similar cross-functional teams preferred.
Culture & Benefits
Full-time role with an inclusive environment focused on employee engagement, professional development, and organizational capability.
Comprehensive benefits plan.
Incentive eligible.
Equal employment opportunity is provided regardless of protected characteristics.
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