Statistician

New
RemoteFull-TimeMiddle
Salary65,000 - 95,000 USD per year
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Job Details

Experience
Minimum of two years of experience using statistical programming languages; minimum of three years of experience analyzing healthcare, health insurance, or government healthcare program data.
Required Skills
PythonSQLData AnalysisMicrosoft ExcelDatabricksR

Requirements

  • Bachelor's degree in Statistics, Biostatistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
  • Minimum of two years of experience using statistical programming languages (e.g., SAS, Python, R, or SQL).
  • Minimum of three years of experience analyzing healthcare, health insurance, or government healthcare program data.
  • Advanced knowledge of statistical analysis, quantitative methods, and analytical problem solving.
  • Proficiency with Python, Databricks, SAS, SQL, Excel, Word, and PowerPoint.
  • Experience developing queries, analyzing large datasets, and interpreting complex data.
  • Ability to work independently while collaborating effectively within a multidisciplinary team.
  • Ability to manage multiple priorities and meet established deadlines.
  • Strong written and verbal communication skills.
  • Preferred experience with statistical methodologies and relational databases.
  • Preferred experience working with healthcare claims, clinical, financial, or administrative datasets.

Responsibilities

  • Perform data extraction, cleaning, validation, transformation, and maintenance across multiple data sources.
  • Conduct statistical analyses and quantitative data mining to identify trends, patterns, anomalies, and other meaningful insights.
  • Develop reports, dashboards, summaries, and visualizations to communicate analytical findings.
  • Compile, validate, interpret, and present data to support operational and business objectives.
  • Perform statistical programming and data analysis using analytical software and programming languages.
  • Design and execute database queries to retrieve and analyze data from large datasets.
  • Prepare clear, concise, and accurate reports, memoranda, data files, and presentations for internal and external stakeholders.
  • Communicate analytical methods, assumptions, and results to both technical and non-technical audiences.
  • Support internal quality reviews, audits, and data validation activities.
  • Participate in team projects, methodology discussions, and continuous process improvement initiatives.
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65,000 - 95,000 USD per year
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