Senior Statistician

NORC at the University of Chicago • Chicago, IL

16d

About The Position

NORC at the University of Chicago is hiring an experienced Senior Statistician to join the Statistics and Data Science department. As a condition of employment, all NORC employees and contractors – including those working remotely - must be fully vaccinated (as defined by current CDC guidance) against COVID-19. DEPARTMENT: The Statistics and Data Science Department implements state-of-the-art statistical methods and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions for NORC clients. In collaboration with all NORC subject area departments, the Statistics and Data Science Department provides leadership along the project life cycle for study design, data collection, analysis, and dissemination of results, and also conducts its own research. The department is a leader in designing and implementing rigorous, efficient methods for sampling from populations and weighting resultant survey data. The department provides expertise and leads NORC strategy on the use of a broad range of methods for the analysis of primary and secondary data, including Bayesian analysis, data linkage and statistical matching for combining multiple data sources, data quality assessment, differential privacy, imputation, machine learning, small area estimation, statistical disclosure limitation, survival analysis, visualization, and efficient and reproducible workflow development. The department collaborates with the Methodology and Quantitative Social Sciences department, all NORC research departments, and the Academic Research Centers in addition to conducting research in its own field.

Requirements

• Ph.D. in Statistics, Biostatistics, Data Science, or related field; Master's Degree and at least 6 years of relevant work experience in statistical methodology; or Bachelors' degree and at least 10 years of relevant work experience in statistical methodology
• At least 7 years of experience in positions of increasing responsibility in statistics, analytics, survey research, or related field.
• At least 1 year of relevant project management
• Expertise in the theory and operations of large-scale national surveys and in some of the following areas: Data privacy, including statistical disclosure limitation analysis of administrative, registry, and other observational data sources data integration—record linkage (entity resolution), statistical matching (data fusion), harmonization small area estimation imputation/missing data methods data science approaches complex mathematical-statistical modeling
• Demonstrated ability to lead large client projects or tasks and to work on multiple projects
• Demonstrated leadership and recognition within the profession
• Experienced with supervising and mentoring staff
• Experienced with responding to and winning large-scale projects through a competitive bidding process
• Excellent written and oral communication skills, as demonstrated through peer-reviewed publications, presentations to external audiences, and building strong working relationships with clients and colleagues

Responsibilities

• Function as project director or lead statistician, providing leadership with accountability for all activities on project assignments
• Provide direction on statistical matters, including developing and overseeing key operational processes, workflows, study design, sampling, weighting, analytic methods, computation, communication of methods and results, data stewardship, and quality assurance
• Navigate with the client and with the project team new developments and potential innovations to methodology and operations
• Supervise and mentor multiple staff on technical and operational tasks, client relations, effective communication, and thought leadership
• Engage in significant proposal writing and business development activities
• Establish rapport and strong communication with project team members and clients; develop and maintain strong cross-departmental and intra-departmental working relationships.
• Present results at national scientific and stakeholder meetings, and provide quality assurance and scientific input to the development of team presentations at such meetings
• Disseminate research findings through peer-reviewed publications, white papers, presentations, and memos and reports for clients

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees