Lead Real-World Analytics Programmer

Openkrill; United States; Hybrid; USD 130,000 - 210,000; Full time

Job summary

Revolution Medicines is seeking a Lead Real-World Analytics Programmer to manage programming activities for observational studies, from initiation to final outputs. You will translate protocols and SAPs into scalable code using SAS/SAS EG, SQL, and R, and deliver datasets, TLFs, and figures.

Collaboration with HEOR/RWE scientists and biostatisticians is essential to ensure rigorous real-world evidence generation.

Qualifications

• Advanced degree in a quantitative field or related discipline.
• 8+ years of statistical programming experience in pharma/biotech or CRO.
• Experience leading programming for observational/real-world studies.
• Strong SAS or R, including analysis datasets and study deliverables.
• SQL proficiency and familiarity with data manipulation and QC.

Responsibilities

• Lead programming for real-world studies from kickoff to final delivery.
• Develop datasets, TLFs, validation plans, and documentation.
• Translate study designs into scalable, reproducible code.
• Create, validate, and maintain SAS, SQL, R, Python solutions.
• Produce QA checks and ensure data quality and traceability.
• Collaborate with HEOR/RWE scientists and statisticians.
• Communicate assumptions, timelines, and risks clearly.

Skills

SAS/R programming

Observational research

Leadership

Communication

Project management

Attention to detail

Education

MS in Statistics/Biostatistics or related

BS in Statistics/Biostatistics or related

Tools

SQL

SAS

R

Job description

Revolution Medicines is seeking a Lead Real-World Analytics Programmer to manage programming activities for observational studies, from initiation to final outputs. You will translate protocols and SAPs into scalable code using SAS/SAS EG, SQL, and R, and deliver datasets, TLFs, and figures.

Collaboration with HEOR/RWE scientists and biostatisticians is essential to ensure rigorous real-world evidence generation.