Real World Evidence Data Scientist

Sanofi • Bridgewater Township, NJ

379d • $122,250 - $163,000 • Remote

About The Position

The Real World Evidence Data Scientist plays a crucial role in managing and analyzing real-world data for evidence and insight generation projects within the Specialty Care portfolio. This position involves collaborating with various stakeholders to develop and implement real-world data strategies, ensuring high-quality and timely delivery of analyses that enhance patient care and inform regulatory decisions. The role requires expertise in advanced analytics, statistical methods, and machine learning to extract insights and build predictive models, contributing to innovative healthcare solutions.

Requirements

• Master's degree in quantitative fields such as pharmaco-epidemiology, statistics, mathematics, computer science, or related field; PhD preferred.
• Expert knowledge in RWE, pharmaco-epidemiology, health outcomes research, statistical methods, etc.
• Experience in statistical programming SAS, R, Python or database programming (SQL) is a must.
• Experience working with routinely collected data (claims databases, electronic health records, registries, and various structured and possibly unstructured sources in the healthcare sector).
• Demonstrated experience in the use of advanced analytics methods.
• Extensive experience in statistical modeling, causal inference methods, and knowledge of advanced statistical techniques.
• Experience working in multiple therapeutic areas, particularly in respiratory, immunology, and hematological therapeutic areas.

Nice To Haves

• Experience working in complex global matrix teams and with service providers requiring cross-functional collaboration and alignment.
• Fluency in spoken and written business English mandatory.
• Ability to tell stories with data and knowledge of complex visualization techniques preferred.

Responsibilities

• Provide technical expertise for designing and delivering real-world data (RWD) studies, ensuring scientifically rigorous methods.
• Identify analytical problems in real-world evidence (RWE) and develop data-driven solutions.
• Serve as SME and drive utilization and scaling of data/insight tools and systems.
• Design and implement data mining and statistical techniques for RWE datasets, ensuring data quality and integrity.
• Develop and maintain programming macros/tools for efficient support, including their development, implementation, and upkeep.
• Serve as SME for system upgrades, proposing and supporting system utilities.
• Apply machine learning (ML) and artificial intelligence (AI) to extract insights, build predictive models, and align with future technology roadmaps.
• Contribute to building a robust RWD/RWE environment, including statistical planning and promoting innovative solutions and operational excellence.
• Collaborate with cross-functional teams to translate business needs into data analysis specifications and facilitate effective communication of insights.
• Uphold best practices in data science, ensuring compliance with ethical standards and efficient documentation.
• Stay current on industry advancements in AI/ML and promote their efficient use across teams.
• Implement data visualization to communicate findings and contribute to developing data-driven healthcare solutions.
• Maintain clear communication with stakeholders to ensure alignment, manage risks, and ensure smooth project progression.

Benefits

• High-quality healthcare coverage
• Prevention and wellness programs
• At least 14 weeks' gender-neutral parental leave
• Opportunities for career growth and development
• A thoughtful rewards package that recognizes contributions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Chemical Manufacturing
• Education Level: Master's degree
• Number of Employees: 10,001+ employees