Senior Real World Data Programmer Consultant

Role Description

We are seeking a Senior Real World Data (RWD) Analytics Consultant/Senior Real World Data Programmer Consultant to lead and oversee complex statistical analyses, provide high-level strategic recommendations, and guide junior analysts in the execution of observational research. This leadership position combines technical expertise with client-facing responsibilities, allowing the successful candidate to influence key decisions within our client’s RWE and cross-functional teams. The Senior Consultant will be responsible for ensuring the highest standards of data analysis and driving innovations that enhance our client’s research outcomes.

Key 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.

Qualifications

• 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.).

Requirements

• Expertise in SAS programming; advanced proficiency in SQL, R, Python, and other relevant programming languages (e.g., MATLAB, Hadoop, Spark).
• Experience working with cloud platforms like AWS, Azure, or Google Cloud is strongly preferred.
• 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.

Education

• Advanced degree (Master’s or PhD) in Biostatistics, Epidemiology, Data Science, Computer Science, or a related field.

Company Description

ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.