Senior Real World Data Programmer, Consultant

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the creation and implementation of statistical analysis plans for extensive real-world evidence studies.

• Collaborate with cross-functional teams and senior stakeholders to develop data-driven solutions for sponsors.

• Supervise and mentor junior analysts, ensuring the accuracy, quality, and consistency of their work.

• Direct the development and enhancement of real-world data analytics workflows.

• Build trusted relationships with client counterparts and deliver strategic insights derived from data findings.

• Create innovative tools and automated workflows to enhance real-world data analysis.

• Promote the utilization of advanced analytics and machine learning to extract actionable insights from large, complex datasets.

• Develop data visualizations, dashboards, and reporting tools tailored for both technical and non-technical stakeholders.

• Enhance data management practices, analysis methodologies, and reporting standards.

• Contribute to the establishment of best practices and standard operating procedures.

• Partner with data scientists, epidemiologists, statisticians, and external stakeholders to consolidate data from diverse sources and design creative solutions.

⛳️ Requirements

• A minimum of 4–5 years of experience in real-world data analytics, biostatistics, epidemiology, or a related discipline.

• At least 3 years in a leadership or consultancy capacity.

• Demonstrated experience managing complex observational research projects in life sciences or healthcare, particularly involving large health databases such as claims data and electronic medical records.

• Proficiency in SAS programming.

• Advanced skills in SQL, R, Python, and other relevant programming languages including MATLAB, Hadoop, and Spark.

• Experience with advanced data visualization tools such as Tableau, Power BI, or D3.js.

• Comprehensive understanding of the US healthcare system, health insurance claims data, and electronic medical records.

• 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.

🏝️ Benefits

• Career development opportunities.

• Supportive culture.

• Continuous training and professional development.

• Close management and training.

• Equal opportunity and diversity-focused workplace.