GL 29/30 Senior Statistician

at  Blu Omega LLC

We are looking for a dynamic, goal-oriented Senior Statistician to work on health and human services projects requiring intermediate SAS, R, Python, or STATA experience as well as knowledge of statistics and research methodology.

Responsibilities:

• Independently perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid demonstration waivers
• Design complex evaluation analytic plans that leverage mixed-method approaches and include the identification of research questions, program relevant metrics, data sources, and statistical methods
• Work with complex large-scale data sets from multiple systems of origin including Medicare, Medicaid, and CHIP enrollment and claims; CAHPS; ACS; and BRFSS
• Apply a variety of statistical methodologies including multivariate modeling (ITS, DiD, Logistic), microsimulation, and machine learning techniques to support the evaluation of health care policy
• Perform fast-paced ad-hoc analysis to quickly address client needs
• Write effective and efficient code using best practice quality control procedures
• Write detailed specifications and documentation of data processing and analytical steps
• Create surveys, questionnaires, and polls to collect necessary information
• Apply sampling techniques to effectively determine and define ideal categories to be questioned
• Conceptualize and develop Tableau based dashboards that can be used by clients to conduct drill down analyses
• Prepare reports and presentations that summarize statistical findings, provide interpretations, and propose recommendations for a variety of audiences (e.g., scientists, government stakeholders, laymen)
• Develop strategic working relationships with clients
• Mentor other staff to develop their technical and analytical problem-solving skills
• Maintain a consistently high degree of accuracy and attention to detail in all tasks
• Work effectively and cooperatively as a member of a project team

Qualifications:

• Bachelor’s degree or higher in Mathematics, Statistics, Economics, or related field
• 10+ years of experience using SAS (including macro processing and Proc SQL), R, Python, or SQL in a research, consulting, or business environment
• Experience leading statistical analysis to inform health policy
• Experience working with healthcare claims and enrollment data
• Extensive knowledge of healthcare data concepts (e.g., claims data structure/contents, claim types)
• Experience working with and advising clients
• Experience in mentoring and managing personnel
• Excellent written and oral communication skills, including the ability to clearly communicate analyses and findings to clients

Nice to Haves:

• Master’s degree or Ph.D. in Mathematics, Statistics, Economics, or related field
• Academic coursework in advanced statistics or econometric modeling
• Familiarity with Medicaid waiver evaluations
• Experience with databases having complex structures and relationships, such as the Integrated Data Repository, Chronic Conditions Warehouse, or similar data environment
• Proficient in managing and analyzing large datasets using SAS grid and other parallel processing techniques
• Experience with other software such as Excel (e.g., pivot tables, VBA)
• SAS certification

• Independently perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid demonstration waivers
• Design complex evaluation analytic plans that leverage mixed-method approaches and include the identification of research questions, program relevant metrics, data sources, and statistical methods
• Work with complex large-scale data sets from multiple systems of origin including Medicare, Medicaid, and CHIP enrollment and claims; CAHPS; ACS; and BRFSS
• Apply a variety of statistical methodologies including multivariate modeling (ITS, DiD, Logistic), microsimulation, and machine learning techniques to support the evaluation of health care policy
• Perform fast-paced ad-hoc analysis to quickly address client needs
• Write effective and efficient code using best practice quality control procedures
• Write detailed specifications and documentation of data processing and analytical steps
• Create surveys, questionnaires, and polls to collect necessary information
• Apply sampling techniques to effectively determine and define ideal categories to be questioned
• Conceptualize and develop Tableau based dashboards that can be used by clients to conduct drill down analyses
• Prepare reports and presentations that summarize statistical findings, provide interpretations, and propose recommendations for a variety of audiences (e.g., scientists, government stakeholders, laymen)
• Develop strategic working relationships with clients
• Mentor other staff to develop their technical and analytical problem-solving skills
• Maintain a consistently high degree of accuracy and attention to detail in all tasks
• Work effectively and cooperatively as a member of a project tea