Statistical Programmer Position @ FHI 360

Statistical Programmer II Job Opening in Durham, North Carolina - North Carolina Global Health Alliance (ncglobalhealth.org)

Job Summary:

Perform statistical programming (typically in SAS) for clinical and non-clinical studies. Serve as lead statistical programmer: program analysis data sets and tables, figures, and listings (TFLs) for complex or high-profile studies. With minimal guidance, generate/design TFL shells and analysis data set specifications. Conduct ad hoc analysis as requested. QC/review statistical reports (TFL package) for internal or cross-form inconsistencies.  Maintain program documentation. Create SAS macros or other tools to enhance efficient delivery of statistical services, providing associated user documentation and staff training as needed.   

Accountabilities:

• Write statistical analysis programs using SAS or other statistical software or languages for a high volume of studies and/or more complex, high-profile studies.

• With minimal direction, design and generate TFL shells and analysis data set specifications, using protocol, statistical analysis plan, or other study materials.

• As needed, critically review analysis specifications for completeness, accuracy and clarity.

• Work with lead statistician or designee as needed to coordinate provision of summary reports to study teams.

• Serve as a statistical programming resource to other data analysts in and outside of department.

• Design, create, and document SAS macros or other tools; write associated user documentation and train staff as needed. Propose new macros or other tools to enhance efficiency and accuracy.

• Review statistical packages and accompanying documentation for internal and cross-form inconsistencies and accuracy of description of data handling methods.

• With appropriate training, design and write randomization programs and prepare associated material for randomization statistician.

Applied Knowledge & Skills:

• Demonstrated expertise in SAS programming and SAS macro language, particularly in more complex data settings.

• Excellent logical/analytical skills.

• Excellent oral and written communication skills in English.

• Strong attention to detail and accuracy; critical thinking and problem-solving skills.

• Ability to work well independently and within team setting.

• Solid understanding of statistical concepts and commonly used methods.

• Solid understanding of ethical principles and programming standards/best practices as they apply to research analysis.

• Ability to establish and maintain effective working relationships with coworkers.

Problem Solving & Impact:

• Problems are diverse in scope.

• Uses good judgement in applying concepts and principles to a new project with minimal guidance or direction.

• Uses knowledge of research analysis principles and standards to make sound decisions.

• Works on problems that require analysis of data.

• Resourceful in solving technical problems efficiently and effectively.

• Errors in judgment or failure to achieve results could require a moderate expenditure of resources to rectify.

Supervision Given/Received:

• Reports to manager on variances and status.

• With minimal supervision works independently and manages high volume work flow.

• Responds to most inquiries independently and follows up on requests efficiently.

• Uses judgment to execute duties and responsibilities.

Requirements

Education:

• Bachelors’ degree or international equivalent, in a quantitative field involving statistical analysis (statistics, biostatistics, bioinformatics, epidemiology, education, psychology, sociology, criminology, etc.).

Experience:

• Typically requires 3-5 years of experience as a SAS programmer on research studies directly relevant to expected project assignments, showing progression to greater independence, responsibility, and/or programming sophistication (i.e. working on more complex or high-profile studies