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 Apply tot his job Apply To this Job