Statistician

Join the Code
360 Team:

Survey Statistician/Mathematical Statistician (Remote)

Are you passionate about data and statistical analysis? Code
360 is seeking a talented Survey Statistician/Mathematical Statistician to enhance our diverse and innovative team. This is a fully remote position, offering flexibility and the opportunity to collaborate with professionals dedicated to excellence and impact.

• A skilled statistician with expertise in survey design, data collection, and statistical analysis.
• Provide expertise regarding the planning, development, implementation, and conduct of the National Health Care Surveys.
• Identify data priorities in the areas of health care resources and utilization.
• Strong knowledge of mathematical and statistical methodologies to tackle complex problems.
• A commitment to delivering high-quality work in a fast-paced, collaborative environment.
• Have strong written and verbal communication.

The position is operating remotely. We value our culture and connection, plus flexibility to work from home. We are currently designing hybrid options.

We need your Statistical and Mathematical skills! What other skills will help you succeed at Code
360? Glad you asked! We’re excited about candidates who can accomplish the following:

• Provide expertise regarding the planning, development, implementation, and conduct of the National Health Care Surveys. Identifying data priorities in the areas of health care resources and utilization;
• Plan and implement sample surveys and evaluation studies to address data priorities;
• Develop survey methodologies that address the unique data collection requirements of national surveys of health care providers and institutions;
• Apply sampling theory and design to complex, multi-stage national probability surveys of health care providers and institutions;
• Develop data reduction methods and analysis of data from national surveys of health care providers and institutions;
• Apply and modify established methods, modeling techniques, and procedures in conducting analysis to improve sample surveys or experimental designs and to conduct evaluations of data collection, reduction and processing.
• Perform disclosure review analysis and write‑up.
• Develop specifications documents and data dictionaries for in‑house data, public use, and restricted use data files;
• Develop recommendations to modify current survey instruments;
• Assist in pilots and pretests;
• Assist NCHS staff in selecting the various survey samples by reviewing and verifying tables based on criteria provided;
• Assist with the develop of training and manuals for survey field staff;
• Interpret mathematical specifications into SAS coding for purposes of creating national/state estimates of data;
• Assist with processing, editing and quality checks of survey data.
• Assist with analyzing data from standard medical code systems (e.g., ICD‑CM/PCS, CPT, HCPCS, LOINC, SNOMED, RxNorm).
• Prepare reports, manuals and other directives necessary to convey medical coding information and improve the quality of our data;
• Design and develop new mathematical statistical models, methods and/or techniques such as sample and survey designs for related data collection;
• Evaluate data resulting from application of mathematical statistic tools, model, method and techniques to the public health area;
• Contribute to various project reports and presentations, including memos summarizing interim project findings; reports describing final algorithm methodology and application; and presentations to stakeholders and Federal partners; and
• Perform various project management tasks, including scheduling meetings and creating agendas; writing meeting minutes; and preparing progress reports for project staff review and approval.
• Government Estimate of Skill Categories and Support Hours

Contractors must, at a minimum, have the following skills, experience and qualifications:

• Master’s degree or higher in health sciences, social sciences, statistics, or a related field.
• Experience in survey methodology and using statistical techniques for analyzing data from complex…