Patient Analytics Specialist

At Improzo, we believe in improving life by empowering our customers. Founded by seasoned industry leaders, we are dedicated to delivering quality-led commercial analytical solutions to our clients. Our team of experts in commercial data, technology, and operations is committed to evolving and learning together since our inception. At Improzo, you will have the opportunity to collaborate with brilliant minds, work with leading Life Sciences clients, seasoned leaders, and carefully chosen peers like yourself. Our success is driven by our CARE values framework, where we prioritize customer needs and outcomes, pursue bold and innovative avenues, foster a culture of collaboration and respect, and maintain a laser focus on quality-led execution. We are currently seeking a highly motivated RWE-HEOR-Patient Analytics Specialist at various levels to join our dynamic team. In this role, you will leverage Patient Analytics, Real-World Evidence (RWE), and Health Economics & Outcomes Research (HEOR) methodologies to drive impactful insights and support life sciences clients in optimizing patient outcomes, decoding patient journeys, and refining healthcare strategies. Your responsibilities will include leading patient journey analytics and segmentation, developing predictive patient models, analyzing patient-reported outcomes, integrating real-world data, conducting health economics evaluations, implementing advanced patient analytics solutions, engaging with clients to translate insights into actionable strategies, leading projects, mentoring team members, and contributing to thought leadership in patient analytics. Qualifications: - Bachelor's or Master's degree in Data Science, Biostatistics, Health Informatics, Epidemiology, Health Economics, Public Health, or related quantitative fields with an emphasis on patient-centered research. - 3-9 years of experience in Patient Analytics, Digital Health Analytics, RWE, and HEOR, preferably within the pharmaceutical, consulting, or healthcare industries. - Proficiency in statistical software and programming languages (Python, R, SAS, SQL), machine learning applications, data visualization tools, healthcare databases, patient privacy regulations, and clinical trial data utilization. - Experience with patient cohort identification, patient engagement analytics, care pathway optimization, treatment sequence analysis, patient risk scoring, population health management, and integration of RWE and HEOR principles. - Strong analytical and problem-solving abilities, excellent communication skills, collaborative approach, adaptability, continuous learning mindset, and ethical approach to patient data handling. Benefits: - Competitive salary and comprehensive benefits package. - Leadership opportunities in patient analytics, RWE, and HEOR initiatives. - Career development in the rapidly growing patient analytics and precision medicine field. - Collaborative environment with opportunities to impact patient care and outcomes. - Exposure to innovative healthcare technologies and global life sciences industry trends. - Professional development support including conferences, certifications, and advanced training in patient analytics, RWE, and HEOR methodologies.,