Research - Biostatistician

Design and execute real‑world evidence (RWE) studies using EMR and claims data; conduct data specifications, SAP, and protocol development aligned with key research objectives.

GLM, GLMM, MMRM), survival analysis, and machine‑learning approaches such as random forest.

Perform data analysis using healthcare coding systems (ICD, NDC, etc.).

Collaborate cross‑functionally with HEOR, Market Access, Regulatory, and Clinical Development stakeholders to translate complex analytical results into clear, actionable insights in presentations or study reports.

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

Strong experience with EMR and/or claims data.

Proficiency in healthcare coding systems (ICD, NDC, SNOMED, RxNorm).

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

Working knowledge of SQL logic and OMOP data structures.

Demonstrated ability to write cohort definitions in SQL, debug data issues (e.g., Experience in one or more therapeutic areas: diabetes, cardiovascular disease, or metabolic disorders.

Advanced skills: building reusable cohort pipelines, optimizing queries for large‑scale databases, and working across multiple common data models (OMOP, Sentinel, PCORnet).

Agility across diverse projects and therapeutic areas.

Clear and effective scientific communication.

Nothing contained herein should be construed to create an employment contract or to alter the relationship of the parties at any time. The Company is committed to compliance with all applicable laws, including the United States Equality Act, Title VII, the Americans with Disabilities Act, and the EU Equality Directive, among others. The Company is committed to providing reasonable accommodations to employees or applicants with disabilities, as appropriate, to assist them in performing the essential functions of the job.

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