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Associate Director, Real-World Analytics Programming

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Onsite

Associate Director, Real-World Analytics Programming

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Associate Director, Real-World Analytics Programming

Skills

SQL QueriesPythonData ScienceRData Analysis

10 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

16 October 2026

What they need


For our client, we are seeking a Associate Director, Real-World Analytics Programming to join the team of a leader in the Pharmaceuticals & Biotech space.

This role will lead statistical programming efforts supporting real-world evidence studies, with a strong focus on observational research and HEOR deliverables. The position will partner closely with study teams to translate research plans into programming specifications, analysis datasets, and final outputs that support high-quality study execution. This is a hands-on leadership role that combines technical depth in SAS, R, SQL, and Python with cross-functional collaboration across data, clinical, and research stakeholders.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $186,000 – $233,000 annually

Responsibilities

  • Lead statistical programming for real-world studies from kickoff through final delivery
  • Manage programming deliverables, including dataset specifications and final outputs
  • Review study documents to ensure accurate implementation of requirements
  • Translate study designs into efficient programming solutions
  • Develop and validate SAS, SQL, R, and Python solutions for analysis and deliverables
  • Generate and quality-control analysis datasets and TLFs per study protocols
  • Collaborate with cross-functional teams to ensure successful study execution

Qualifications

  • BS/MS in Statistics, Biostatistics, Computer Science, Data Science, Epidemiology, Mathematics, or a related field
  • 8+ years of statistical programming experience in relevant settings
  • Proven track record leading programming for observational research and HEOR studies
  • Strong proficiency in SAS and R programming, with experience in complex healthcare data
  • Experience with SQL and familiarity with R or other programming languages for data manipulation
  • Expertise in developing analysis datasets and TLFs from real-world data sources
  • Strong understanding of observational research workflows and specifications

Benefits

  • Comprehensive health insurance plans
  • Robust equity awards
  • Significant learning and development opportunities
  • Flexible work arrangements, including remote options
  • Collaborative and innovative work environment

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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