Biostatistician/RWE (Real World Evidence, RWA)
Biostatistician – Real-World Evidence (RWE)
Role Overview
This role will focus on the design, analysis, and interpretation of observational studies using EMR and claims data to inform: clinical development, HEOR, and market access.
Responsibilities
• Design and execute real-world evidence (RWE) studies using EMR and claims data; Conducting data specs, SAP and protocol with key research objectives
• Develop and apply robust statistical methodologies, including:
• Causal inference methods (propensity score methods, weighting, matching; GLM or GLMM, MMRM; survival analysis; random forest)
• Trial emulation frameworks
• External control arm development and borrowing strategies
• Perform data analysis using healthcare coding systems (e.g., ICD, NDC)
• Conduct sample size estimation and power calculations for observational and hybrid study desiAgns
• Collaborate cross-functionally with stakeholders across:
• HEOR
• Market Access
• Clinical Development
• Translate complex analytical results into clear, actionable insights
• Support methodological innovation in RWE, including integration of machine learning approaches where appropriate
Qualifications
• M.S. or Ph.D. must be in Biostatistics or Statistics, PhD is preferred.
• ≥1 years of experience in RWD/RWE analytics (industry or equivalent) for PhD and >=3 yrs for MS degrees.
• Strong experience with EMR and/or claims data
• Proficiency in healthcare coding systems
• Programming expertise in SAS, R, or Python
• Working knowledge with SQL logic and OMOP data structures
• Solid understanding of:
• Causal inference methods
• Observational study design
• Sample size and power considerations
• Some examples: Independently write cohort definitions in SQL logic; Debug data issues e.g., time zero alignment, exposure gaps; Understand concept mapping (ICD ↔ SNOMED ↔ RxNorm); Translate statistical estimand → censoring rule and data extraction logic
TechData is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Pay: From $120,000.00 per year
Benefits:
• Dental insurance
• Health insurance
• Vision insurance
Work Location: Remote
Role Overview
This role will focus on the design, analysis, and interpretation of observational studies using EMR and claims data to inform: clinical development, HEOR, and market access.
Responsibilities
• Design and execute real-world evidence (RWE) studies using EMR and claims data; Conducting data specs, SAP and protocol with key research objectives
• Develop and apply robust statistical methodologies, including:
• Causal inference methods (propensity score methods, weighting, matching; GLM or GLMM, MMRM; survival analysis; random forest)
• Trial emulation frameworks
• External control arm development and borrowing strategies
• Perform data analysis using healthcare coding systems (e.g., ICD, NDC)
• Conduct sample size estimation and power calculations for observational and hybrid study desiAgns
• Collaborate cross-functionally with stakeholders across:
• HEOR
• Market Access
• Clinical Development
• Translate complex analytical results into clear, actionable insights
• Support methodological innovation in RWE, including integration of machine learning approaches where appropriate
Qualifications
• M.S. or Ph.D. must be in Biostatistics or Statistics, PhD is preferred.
• ≥1 years of experience in RWD/RWE analytics (industry or equivalent) for PhD and >=3 yrs for MS degrees.
• Strong experience with EMR and/or claims data
• Proficiency in healthcare coding systems
• Programming expertise in SAS, R, or Python
• Working knowledge with SQL logic and OMOP data structures
• Solid understanding of:
• Causal inference methods
• Observational study design
• Sample size and power considerations
• Some examples: Independently write cohort definitions in SQL logic; Debug data issues e.g., time zero alignment, exposure gaps; Understand concept mapping (ICD ↔ SNOMED ↔ RxNorm); Translate statistical estimand → censoring rule and data extraction logic
TechData is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Pay: From $120,000.00 per year
Benefits:
• Dental insurance
• Health insurance
• Vision insurance
Work Location: Remote