Note: The job is a remote job and is open to candidates in USA. ClinChoice 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. The Senior Real World Data Programmer Consultant will lead statistical analyses and observational research, develop RWD analytics workflows and tools, and provide strategic guidance to clients and cross-functional teams. The role also mentors junior analysts and drives data visualization, methodological improvements, and innovative solutions using advanced analytics and machine learning.
Responsibilities
- Lead the development and execution of statistical analysis plans (SAPs) for large-scale real-world evidence (RWE) studies. Work directly with cross-functional teams and senior stakeholders to design data-driven solutions that meet sponsor needs
- Oversee and mentor junior analysts, reviewing work for accuracy, quality, and consistency. Provide guidance on the development and optimization of RWD analytics workflows
- Establish and maintain strong, trusted relationships with client counterparts. Act as a key advisor, offering strategic insights based on data findings, and helping guide decision-making processes
- Lead the development of new tools and automated workflows to improve the efficiency and impact of RWD analysis. Drive the use of advanced analytics and machine learning to derive actionable insights from large, complex datasets
- Lead the creation of sophisticated data visualizations, dashboards, and other reporting tools. Ensure that findings are effectively communicated to both technical and non-technical stakeholders
- Drive the continuous improvement of data management, analysis methodologies, and reporting standards. Actively contribute to the development of best practices and standard operating procedures
- Collaborate with internal teams (data scientists, epidemiologists, statisticians) and external stakeholders to integrate data from multiple sources and design innovative solutions
Skills
- Minimum 4-5 years of experience in RWD analytics, biostatistics, epidemiology, or a related field, with at least 3 years in a leadership or consultancy role
- Proven track record in managing complex observational research projects in the life sciences or healthcare sector, particularly with large health databases (claims data, EMR, etc.)
- Expertise in SAS programming; advanced proficiency in SQL, R, Python, and other relevant programming languages (e.g., MATLAB, Hadoop, Spark)
- Expertise in advanced data visualization tools such as Tableau, Power BI, or D3.js
- Deep understanding of the US healthcare system, health insurance claims data, and electronic medical records (EMR)
- Experience applying advanced statistical methods and machine learning techniques to large healthcare datasets
- Familiarity with database management, data wrangling, and data integration techniques
- Advanced degree (Master's or PhD) in Biostatistics, Epidemiology, Data Science, Computer Science, or a related field
- Experience working with cloud platforms like AWS, Azure, or Google Cloud is strongly preferred
Benefits
- Career development
- A supportive culture
- Continuous training to keep personnel qualified in competence and expertise
- Clear tools needed to manage both internal and client processes with the same methodology
- Remote work
Company Overview
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