Biostatistician, Epidemiology

Biostatistician – Real-World Evidence (RWE)

Design and execute real‑world evidence studies using EMR and claims data, including developing data specifications, statistical analysis plans, and study protocols.

Develop and apply robust statistical methodologies such as causal inference methods (propensity score, weighting, matching, GLM/GLMM, MMRM, survival analysis, random forest), trial emulation frameworks, and external control arm development.

Perform data analysis using healthcare coding systems (ICD, NDC) and conduct sample size estimation and power calculations for observational and hybrid study designs.

Collaborate cross‑functionally with stakeholders in HEOR, Market Access, Regulatory, and Clinical Development teams.

D. in Biostatistics, Statistics, Epidemiology, or a related field.

≥Strong experience with EMR and/or claims data and proficiency in healthcare coding systems (ICD, NDC).

Programming expertise in at least one of SAS, R, or Python.

Working knowledge of SQL logic and OMOP data structures.

Experience writing cohort definitions in SQL, debugging data issues, and understanding concept mapping across vocabularies.

Diabetes, Cardiovascular Disease, or Metabolic Disorders.

Build reusable cohort pipelines and optimize queries for large‑scale databases.

Further, nothing contained herein should be construed to create an employment contract. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

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