Lead Statistician
Dodla Digital is seeking a Lead Statistician II to support a large-scale federal health research effort. This role will provide technical leadership in survey methodology, statistical modeling, and advanced data analysis. The selected candidate will play a critical role in designing statistically valid sampling strategies, addressing non-response bias, and leading complex analytical work using large health datasets.
This position requires deep expertise in survey sampling design, weighting procedures, non-response adjustment, and advanced statistical programming using SAS.
• *Qualifications
• Experience working with large national survey datasets or cohort studies
• Familiarity with survey operations including web surveys, CATI, and multi-mode data collection
• Experience producing statistical reports for policy, research, or public health audiences
• Publication record in peer-reviewed journals or major technical reports
• *Ideal Candidate
• Lead statistical methodology for large-scale survey research and epidemiological studies
• Design and implement sampling strategies and survey weighting methodologies
• Develop statistical plans for handling non-response bias and adjustment procedures
• Create and maintain statistical programming code using SAS for survey data processing and analysis
• Design and implement algorithms for sampling weights, correction factors, and data validation
• Support development of survey protocols, methodology documentation, and technical reports
• Perform advanced statistical analyses on large-scale health datasets
• Collaborate with epidemiologists, project managers, and research staff to interpret findings
• Support development of methodology reports, white papers, and technical deliverables
• Ensure analytical methods meet federal research standards and statistical best practices
• *Requirements**
• PhD in Statistics, Survey Methodology, Biostatistics, Epidemiology, or related quantitative discipline
• Minimum 8 years of post-doctoral experience conducting statistical analysis or survey methodology work
• Advanced programming experience using SAS for statistical modeling and data processing
• Experience analyzing large-scale survey datasets or population health data
• Proven ability to develop and implement statistical methodologies for complex research studies
• Strong technical writing skills for methodology reports and research documentation
Location: Remote (U.S.) | Full-Time | Please submit: Resume or CV, List of publications or major research projects (if available)
Salary Range (Washington, DC) - $140,000 – $190,000
This position requires deep expertise in survey sampling design, weighting procedures, non-response adjustment, and advanced statistical programming using SAS.
• *Qualifications
• Experience working with large national survey datasets or cohort studies
• Familiarity with survey operations including web surveys, CATI, and multi-mode data collection
• Experience producing statistical reports for policy, research, or public health audiences
• Publication record in peer-reviewed journals or major technical reports
• *Ideal Candidate
• Lead statistical methodology for large-scale survey research and epidemiological studies
• Design and implement sampling strategies and survey weighting methodologies
• Develop statistical plans for handling non-response bias and adjustment procedures
• Create and maintain statistical programming code using SAS for survey data processing and analysis
• Design and implement algorithms for sampling weights, correction factors, and data validation
• Support development of survey protocols, methodology documentation, and technical reports
• Perform advanced statistical analyses on large-scale health datasets
• Collaborate with epidemiologists, project managers, and research staff to interpret findings
• Support development of methodology reports, white papers, and technical deliverables
• Ensure analytical methods meet federal research standards and statistical best practices
• *Requirements**
• PhD in Statistics, Survey Methodology, Biostatistics, Epidemiology, or related quantitative discipline
• Minimum 8 years of post-doctoral experience conducting statistical analysis or survey methodology work
• Advanced programming experience using SAS for statistical modeling and data processing
• Experience analyzing large-scale survey datasets or population health data
• Proven ability to develop and implement statistical methodologies for complex research studies
• Strong technical writing skills for methodology reports and research documentation
Location: Remote (U.S.) | Full-Time | Please submit: Resume or CV, List of publications or major research projects (if available)
Salary Range (Washington, DC) - $140,000 – $190,000