
Health Economics Associate – Advanced Analytics
Posted Aug 19

Posted Aug 19
This is a fully remote position, open to applicants in India.
• Serve as a supportive biostatistician or statistical programmer collaborating with the study team and sponsor.
• Assist in drafting the statistical sections of study protocols.
• Conduct sample size and power calculations for various studies.
• Aid in reviewing data management plans, data specifications, and related documentation for studies.
• Contribute to the development of statistical analysis plans.
• Assist in defining specifications for analysis datasets.
• Support the creation of statistical programs that produce listings, tables, and figures as defined by the statistical analysis plans.
• Execute quality control on TLFs and other analysis datasets.
• Provide statistical insights for Clinical Study Reports.
• Help ensure that quality standards are maintained across all projects.
• Evaluate and implement new methodologies and techniques.
• Assist in cultivating thought leadership opportunities.
• 2-4 years of experience, with a background in healthcare consulting or pharmaceutical organizations.
• Strong understanding of fundamental statistical concepts and methodologies.
• Familiarity with predictive equations, survival analysis, longitudinal data analysis, meta-analysis, mixed treatment comparisons, and hierarchical analysis techniques.
• Knowledge of machine learning techniques and Bayesian statistics is an advantage.
• Proficient statistical programming skills in standard software such as SAS, R, SQL, and/or Python.
• Excellent scientific, business writing, and presentation skills, with a keen attention to detail.
• Outstanding communication skills, particularly in conveying technical information and project concepts.
• Proficient in written and spoken English.
• Strong communication and problem-solving abilities, with a capacity for rapid learning.
• Capability to discuss technical topics in non-technical terms with project team members.
• Ability to function effectively both in a team and independently, taking a leadership role on methodological components.
• Master’s degree or higher in Public Health, Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other quantitative disciplines.
• Comprehensive health insurance coverage.
• Opportunities for professional development and training.
• Flexible working hours and remote work options.
• Collaborative and inclusive work environment.
• Access to cutting-edge tools and technologies.
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