Part-time Senior Statistician

The Senior Statistician will work closely with both evaluation and technical staff, and provide support in a variety of areas. Such areas may include providing technical assistance, developing publications, conducting initial and ongoing needs assessments, and analyzing and reporting data.

 

·         Serve as expert consultant regarding content and methods to both internal and external

(client) users.

·         Innovate statistical methods or adapt standard statistical methods, as needed.

·         Communicate effectively with both internal and external clients to explain methods,

·         interpret results, and create effective tabular and graphical displays.

·         Give talks on statistical methods for both internal and external audiences.

·         Collaborate with Project Directors/Managers to achieve study objectives, deliver results on

time, and ensure the quality of deliverables.

·         Interact with knowledge experts to specify statistical models.

·         Create specifications for building analytic data files.

·         Able to analyze a variety of data with minimal instruction.

·         Ensure data and reporting meet high standards including various Federal guidelines.

·         Strictly follow data security protocols.

 

·         Requires 10+ years of experience in statistical consulting and research design.

·         PhD in statistics or quantitative branch of social sciences.

·         Ability to program in SAS, SPSS, SUDAAN, R and MATLAB. Familiarity with Qualtrics a plus.

·         Ability to solve problems using analytical skills and choose appropriate statistical

methods to meet study objectives.

·         Experience in designing and explaining analyses for a non-technical client.

·         Experience in a broad array of statistical methods and survey design and methodology used in education, evaluation and health services research.

•          Requires experience with basic and advanced statistical methods, including hypothesis testing, confidence intervals, sample size determination, Bayesian statistics, analysis of variance and regression modeling, including generalized linear models, logistic regression, Poisson regression, hierarchical regression, time series analysis and data mining.

·         Ability to multi-task without sacrificing quality or deadlines on individual projects.

·         Excellent communication skills: able to discuss technical issues with technical

and non-technical audiences and work in a multi-disciplinary environment.

  • The position requires that individuals be available to work as necessary throughout the standard workweek and often on weekends as well. 

Physical demands and work environment:

  • Physical demands:  While performing duties of job, employee is occasionally required to stand; walk; sit; use hands to handle objects and documents; reach with hands and arms; talk and hear.  Employee may occasionally lift and/or move up to 40 pounds.  Specific vision abilities required by the job include close vision. Employee may use office equipment such as telephone, computer, computer software, calculator, printer, copier, and facsimile. 
  • Work environment: Employees are not substantially exposed to adverse environmental conditions.  The noise level in the work environment is usually moderate.

 

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