Real World Biostatistician – RWA CMH Experience

Posted Sep 10

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Design and implement studies that provide real-world evidence utilizing EMR and claims data.

• Develop data specifications, statistical analysis plans, and protocols aligned with key research objectives.

• Create and employ robust statistical methodologies, such as causal inference techniques, GLM/GLMM, MMRM, survival analysis, and random forest.

• Utilize trial emulation frameworks effectively.

• Construct external control arms and borrowing strategies.

• Execute data analysis using healthcare coding systems like ICD and NDC.

• Carry out sample size estimation and power calculations for observational and hybrid study designs.

• Collaborate with HEOR, Market Access, Regulatory, and Clinical Development teams.

• Transform complex analytical results into clear and actionable insights through presentations or study reports.

• Promote methodological innovation in real-world evidence, including the integration of machine learning where applicable.


⛳️ Requirements

• M.S. or Ph.D. in Biostatistics, Statistics, Epidemiology, or a related discipline.

• At least 5 years of experience in RWA/RWD analytics (industry experience or equivalent).

• Strong background in working with EMR and/or claims data.

• Proficient in healthcare coding systems (e.g., ICD, NDC).

• Programming skills in at least one of the following: SAS, R, or Python.

• Working familiarity with SQL logic and OMOP data structures.

• Comprehensive understanding of causal inference methods.

• Strong grasp of observational study design principles.

• Solid knowledge of sample size and power considerations.

• Capability to independently write cohort definitions using SQL logic.

• Skill in debugging data issues, such as time zero alignment and exposure gaps.

• Familiarity with concept mapping (ICD ↔ SNOMED ↔ RxNorm).

• Ability to convert statistical estimands into censoring rules and data extraction logic.

• Experience with RWE CMH.

• Equivalent experience, skills, and/or education may be taken into account.


🏝️ Benefits

• Opportunities for career development and advancement.

• Supportive and engaged management team.

• Training in technical and therapeutic areas.

• Recognition from peers.

• Comprehensive total rewards program.

• Inclusive workplace culture.

• Reasonable accommodations provided when appropriate.

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