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У роли понятный senior-фокус на качестве клинических данных, управлении данными и аналитике, включая работу с продуктами и ML; офисный формат и отсутствие опубликованной зарплаты затрудняют оценку предложения в целом.
Современные инструменты
Понятные задачи
Медицинские данные
?Только офис
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Analyst (Clinical Data): Driving data discovery, quality, governance, reporting, and ML-based analytics for a clinical platform with an accent on data lineage, profiling, cataloging, and secure delivery. Focus on developing data products, analyzing complex root causes, and applying statistical methods to create reliable insights for technical and non-technical stakeholders.
Location: Conshohocken, Pennsylvania, United States
Company
hirify.global develops a clinical platform and delivers structured, secure, and value-added data services to customers.
What you will do
Lead data discovery efforts and guide stakeholders on queries, business logic, and data lineage.
Investigate database content and assess data quality, accuracy, completeness, and consistency.
Manage cross-functional data governance through data cataloging, maintenance, analysis, and security improvements.
Create data analyses, reports, and dashboards.
Develop data products and machine learning-based analytics.
Coach colleagues and document practices to improve data literacy while applying data privacy principles to sensitive information.
Requirements
Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, or a related discipline.
At least 5 years of experience with SQL and Excel.
At least 3 years of experience with data profiling and cataloging tools such as OpenMetadata, AWS Glue Data Quality, or dbt test.
Familiarity with Python and Python data quality libraries such as Great Expectations and Spark Expectations.
Strong understanding of hypothesis testing, regression analysis, and Analysis of Variance.
Ability to identify complex problems, determine root causes through data analysis, and propose data-driven solutions.
Excellent written and verbal communication skills for presenting findings and insights to non-technical audiences.
Master’s degree in Statistics, Data Science, or a related discipline is preferred.
Nice to have
Experience with ledger-based financial data or clinical trial data.
Culture & Benefits
Work within the Product Development department and collaborate cross-functionally.
Focus on secure handling of sensitive data and responsible data privacy practices.
Hiring process
hirify.global recruiters communicate from an @hirify.global.com email address and will not request payment or sensitive personal information during the application or interview process.
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