aisqlllmdatabricksdatabase managementclinical dataepicredcapresearch data
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$66к-106к/год
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Обязанности описаны четко: аналитика клинических данных сочетается с прикладными AI-проектами в крупном медицинском центре, что дает сильный отраслевой опыт при умеренных требованиях к стажу.
?Широкий круг задач
Актуальные технологии
AI в медицине
Сильная организация
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Clinical Database Analyst (Healthcare AI): Developing and maintaining clinical data queries, integrated datasets, dashboards, and reporting solutions for healthcare research, quality improvement, and EHR-based interventions with an accent on Epic data, data quality, and research compliance. Focus on supporting clinical decision-support tools, evaluating informatics interventions, and building scalable data infrastructure across Databricks, HPC, GitHub, and institutional systems.
Location: New York, NY, US; onsite at NYU Grossman School of Medicine
Salary: $66,300.00–$105,722.27 annually; actual salary depends on experience, specialty, education, and hospital need. Bonuses, incentive pay, differential pay, and benefits are excluded.
Company
hirify.global is an academic medical institution focused on medical education, scientific research, direct patient care, healthcare innovation, and delivery science.
What you will do
Develop, validate, and maintain SQL queries, integrated datasets, dashboards, reports, and other analytics using clinical, research, administrative, and operational data.
Extract, integrate, clean, profile, reconcile, and analyze data from Epic and other institutional systems while maintaining provenance, documentation, privacy, and data governance.
Partner with clinical, research, operational, technical, and informatics stakeholders to define goals, workflows, data requirements, outcomes, and implementation plans.
Support the design, implementation, evaluation, and optimization of clinical and research interventions embedded in Epic and related EHR workflows.
Troubleshoot data, software, and system issues; administer study-database access; and support automated extraction, transformation, analysis, and reporting.
Manage the prod_CHIDS Databricks catalog and support Rapid RCT Labs infrastructure, including HPC, Databricks, GitHub, and Ivanti.
Requirements
Bachelor’s degree in Computer Science or a related field with at least 2 years of related experience.
Experience with electronic data capture and database management systems such as REDCap, Velos, Medidata, TrialMaster, or Inform.
In-depth understanding of data collection, data-flow management, data quality, data extraction, and data standards.
Ability to communicate effectively with all levels of the organization and collaborate with principal investigators and study teams.
Ability to comply with research-data regulations, policies, standard operating procedures, Good Clinical Practice, and FDA requirements.
Nice to have
Master’s degree in biomedical informatics, clinical informatics, data science, public health, healthcare administration, or a related field.
Knowledge of CDISC standards, including CDASH, SDTM, and ADaM.
Experience with learning health systems, implementation science, clinical quality improvement, or enterprise health informatics.
Experience with Epic reporting and analytics tools such as Clarity, Caboodle, Reporting Workbench, SlicerDicer, or Cogito.
Experience using LLMs to develop applications, automate workflows, or improve clinical and operational processes.
Culture & Benefits
Work within the Center for Healthcare Innovation and Delivery Science alongside clinicians, researchers, educators, and administrators.
Benefits and wellness package covering financial security, time off, employee resource groups, and holistic well-being resources.
Equal opportunity workplace committed to equity, inclusion, and consideration of all qualified applicants.
Hiring process
Applications must be completed online through the provided application route.
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