Health Statistician

Key Role:

Provide consulting services focused on supporting the analytical planning and execution of health and healthcare data for government agencies. Maintain responsibility for analysis design and statistical programming in SAS , Python, and R, code optimization and efficiency, quality control via appropriate application of statistical theory, modeling, including parametric and non-parametric for interpretation of results, and objective development for descriptive statistics to refine hypothesis. Perform clear and concise report writing, display oral expertise, and present to satisfying client needs for highly visible government agencies. Assist with monitoring and assessing data integrity and accuracy using commonly accepted reliability and validity assurance practices appropriate for quantitative and qualitative data. Assist with a growing market that seeks to use quantitative and qualitative data analyses to assess the return on investment to guide the allocation of health and healthcare funds through the federal budget. This position is a hybrid role with a combination of working at a Booz Allen office or client site and working remotely.

Basic Qualifications:

  • Experience in a professional environment or in an academic environment using SAS, including macros, arrays, and soft-coding

  • Experience with data mining or statistical modeling, including descriptive statistics, traditional modeling, and interpretation

  • Experience with data manipulation using statistical software

  • Ability to be flexible and organized, prioritize and multi-task, and thrive with asking questions

  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

  • Bachelor's degree

Additional Qualifications:

  • Experience with database management or IT

  • Experience working with R, including package use, program creation, and data exportation

  • Experience with analyzing large-scale data sets

  • Experience with working in team environments where not all members are professionally trained in statistical and quantitative studies

  • Experience with program documentation and code commenting

  • Experience with data visualizations for broad audiences

  • Ability to work independently and as a member of a team

  • Ability to pay strict attention to detail

  • Possession of excellent data gathering, analytical, and problem-solving skills

  • Possession of excellent verbal and written communication skills

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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