Job Title: Sr Director of Statistical Analysis
Location: Remote/Hybrid
Department: Data Science
Reports To: CEO
Job Summary: The Sr Director of Statistical Analysis is a strategic leadership role responsible for overseeing the statistical strategy, methodology, and integrity across all analytic projects. This individual will lead a team of statisticians and data scientists, ensure the application of rigorous statistical principles, and work crossfunctionally with business and technical leaders to influence data-driven decision-making at the highest levels.
Key Responsibilities:
• Provide strategic direction for the design, execution, and interpretation of statistical analyses across the organization.
• Lead and mentor a team of statisticians and quantitative analysts; guide career development, training, and performance management.
• Collaborate with executive leadership to define analytics goals, ensure statistical rigor, and prioritize key initiatives.
• Oversee the development of advanced statistical models, predictive algorithms, and experimental designs (e.g., A/B testing, multivariate testing).
• Act as a subject matter expert on statistical methodology, advising on study design, sample size, and data interpretation.
• Ensure compliance with regulatory and ethical standards where applicable (e.g., HIPAA, GDPR, IRB).
• Communicate complex statistical concepts clearly to both technical and non-technical stakeholders through presentations, reports, and executive summaries.
• Stay abreast of emerging methodologies, technologies, and trends in statistics and data science to drive innovation.
Qualifications:
• Ph.D. or Master’s degree in Statistics, Biostatistics, Applied Mathematics, or a related quantitative field.
• 10+ years of progressive experience in statistical analysis, with at least 5 years in a leadership role.
• Proven experience managing statistical teams and driving data strategy at a senior level.
• Deep knowledge of statistical methods including regression, Bayesian inference, multivariate analysis, and experimental design.
• Proficiency in statistical software and languages (e.g., R, Python, SAS, STATA).
• Strong business acumen with the ability to align analytical work with strategic objectives.
Preferred Qualifications:
• Experience in a regulated industry (e.g., healthcare, finance, pharmaceuticals).
• Publications or presentations in professional statistical forums or journals.
• Familiarity with machine learning and AI integration into statistical workflows.
• Expertise in enterprise data environments and tools (SQL, cloud platforms)
Who is SmartLight Analytics:
SmartLight Analytics was formed by a group of industry insiders who wanted to make a meaningful impact on the rising cost of healthcare. With this end in mind, SmartLight works for self-funded employers to reduce the wasteful spend in their healthcare plan through our proprietary data analysis. Our process works behind the scenes to save money without interrupting employee benefits or requiring employee behavior changes.
