ClinChoice - Senior Real World Data Programmer Consultant
Requirements
• 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). • 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. • Knowledge & Expertise: • 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. • The Application Process • Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. • Who will you be working for? • 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. • Our Company Ethos • Our Company Ethos • Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates.
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.
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