Senior Statistical Scientist — Health Data Modeling (Hybrid)

Knowesis Inc.

Silver Spring (MD)

Hybrid

USD 120,000 - 167,000

Full time

5 days ago
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Benefits offered by this job

Health Insurance
Dental
Vision
Life Insurance
401k Match
Voluntary Benefits

Job summary

Knowesis Inc. seeks a Statistician SME IV to provide elite statistical modeling and analytical capabilities for the PHCoE research enterprise.

The role applies advanced statistical methods and writes code to solve health-related problems, ensuring high statistical rigor across center studies and evaluations. Ideal candidates hold a PhD with extensive postdoctoral experience in statistics and health data, with preference for longitudinal analysis and DoD-related datasets.

Qualifications

  • PhD in Statistics, Mathematics, or related field.
  • At least 13 years of full-time postdoctoral work in complex statistics.
  • At least 3 years of full-time postdoctoral experience analyzing health-related data.

Responsibilities

  • Apply statistical approaches and use specialized software to analyze data in an enterprise data environment.
  • Write custom code/syntax to solve complex statistical problems.
  • Propose robust statistical solutions for health research based on data.
  • Present complex data and interpretations clearly in reports and leadership briefs.
  • Produce technical artifacts (reports, tools, briefings, manuscripts) aligning with PHCoE goals.

Skills

Statistical modeling
Data analysis
Research methodology

Education

PhD in Statistics/Mathematics or related field

Tools

Statistical software

Job description

Knowesis Inc. seeks a Statistician SME IV to provide elite statistical modeling and analytical capabilities for the PHCoE research enterprise.

The role applies advanced statistical methods and writes code to solve health-related problems, ensuring high statistical rigor across center studies and evaluations. Ideal candidates hold a PhD with extensive postdoctoral experience in statistics and health data, with preference for longitudinal analysis and DoD-related datasets.

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