4 дня назад
Senior Real World Data Programmer Consultant (SAS)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Real World Data Programmer Consultant (SAS): Leading statistical analysis plans and observational research using large healthcare datasets with an accent on RWD analytics, client-facing consulting, and advanced data visualization. Focus on developing automated workflows, applying machine learning to claims and EMR data, mentoring analysts, and integrating data from multiple sources.
Location: United States; remote work
Company
is a global full-service contract research organization supporting clinical development and real-world evidence research for pharmaceutical, biotechnology, medical device, and consumer health companies.
What you will do
- Lead the development and execution of statistical analysis plans for large-scale real-world evidence studies.
- Oversee, mentor, and review the work of junior analysts while improving RWD analytics workflows.
- Build trusted relationships with client counterparts and provide strategic recommendations based on analytical findings.
- Develop automated tools and workflows, applying advanced analytics and machine learning to complex healthcare datasets.
- Create data visualizations, dashboards, and reporting tools for technical and non-technical stakeholders.
- Collaborate with data scientists, epidemiologists, statisticians, and external stakeholders to integrate multiple data sources.
Requirements
- 4–5 years of experience in RWD analytics, biostatistics, epidemiology, or a related field, including at least 3 years in leadership or consulting.
- Experience managing complex observational research projects in life sciences or healthcare using claims data, EMR, or other large health databases.
- Expertise in SAS programming and advanced proficiency in SQL, R, and Python.
- Knowledge of the US healthcare system, health insurance claims data, and electronic medical records.
- Experience with advanced statistical methods, machine learning, database management, data wrangling, and data integration.
- Master’s or PhD in Biostatistics, Epidemiology, Data Science, Computer Science, or a related field.
Nice to have
- Experience with AWS, Azure, or Google Cloud.
- Knowledge of MATLAB, Hadoop, or Spark.
- Experience with Tableau, Power BI, or D3.
Culture & Benefits
- Work directly for a single sponsor with the support and career opportunities of a global CRO.
- Continuous training and development focused on maintaining technical and operational expertise.
- Work in a diverse and inclusive environment.
- Collaborate with professionals across the Americas, Europe, and Asia-Pacific.
Hiring process
- Submit a CV and receive an application acknowledgement.
- Qualified candidates are invited to a phone interview as the first step.
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