Remote Lead, Real-World Analytics Programming (Oncology)

revolutionmedicines; EE. UU.; A distancia; USD 177.000 - 221.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-eligible position

Equity awards

Benefits

Descripción de la vacante

revolutionmedicines is seeking a Lead Statistical Programmer for real-world evidence and health economics studies in oncology. You will independently manage programming from kickoff to final deliverables, translating study designs into reproducible analytic solutions across claims, EHR, and genomic datasets.

You will lead programming deliverables, review SAPs and protocols, and develop robust analytics using SAS, SQL, R, and Python while mentoring junior programmers.

Formación

• Bachelor's or advanced degree in statistics, biostatistics, computer science, or related field; master's preferred.
• Significant experience as a lead statistical programmer for real-world evidence, health economics, or observational studies.
• Strong proficiency in SAS, SQL, R, and Python for reproducible analytics.

Responsabilidades

• Serve as the lead statistical programmer for assigned real-world studies from initiation to final delivery.
• Lead programming deliverables: analysis datasets, table/listing/figure shells, validation plans, documentation, and final outputs.
• Review SAPs, SAPs, and analysis specifications to ensure accurate implementation of requirements.
• Develop, validate, and maintain SAS, SQL, R, Python solutions for cohort construction, endpoint derivation, and study outputs.
• Generate and QC analysis datasets, tables, listings, and figures per protocols and standards.
• Implement analytic methods per protocols and SAPs, including survival analyses and propensity score approaches.
• Work with claims, EHR, and genomic datasets; assess data quality and fitness-for-purpose.

Conocimientos

Statistical programming

Leadership

SAS

SQL

R

Python

Reproducible analytics

Study documentation

Version control

Educación

Bachelor's or master's in statistics/biostatistics/computer science

Herramientas

SAS

SQL

R

Python

Git

Descripción del empleo

revolutionmedicines is seeking a Lead Statistical Programmer for real-world evidence and health economics studies in oncology. You will independently manage programming from kickoff to final deliverables, translating study designs into reproducible analytic solutions across claims, EHR, and genomic datasets.

You will lead programming deliverables, review SAPs and protocols, and develop robust analytics using SAS, SQL, R, and Python while mentoring junior programmers.