Senior Biostatistician - Remote Data Science & Analytics

MAXIMUS; Burlington (VT); On-site; USD 59,000 - 124,000; Full time

Job summary

Maximus is seeking a highly skilled analyst to develop and deploy advanced methods for analyzing operational data and generating actionable insights for stakeholders and business development partners.

The role serves as a primary data and analytics liaison across multiple projects, guiding operational partners on product performance and solution maturation options, and contributing to strategic plans and KPIs. A PhD is preferred with strong statistical and modeling capabilities.

Qualifications

• Bachelor's degree in related field.
• 5-7 years of relevant professional experience.
• Equivalent combination of education and experience considered in lieu of degree.

Responsibilities

• Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
• Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
• Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
• Develop and implement new metrics, functions, and scripts as KPIs as needed.
• Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.

Skills

Statistical analysis

Multivariate statistics

Data analytics

Mathematical modeling

Research leadership

Communication skills

Education

PhD in Human Performance/Biostatistics/Epidemiology/Behavioral/Social Science

Bachelor's degree in related field

Job description

Maximus is seeking a highly skilled analyst to develop and deploy advanced methods for analyzing operational data and generating actionable insights for stakeholders and business development partners.

The role serves as a primary data and analytics liaison across multiple projects, guiding operational partners on product performance and solution maturation options, and contributing to strategic plans and KPIs. A PhD is preferred with strong statistical and modeling capabilities.