Remote Senior Statistical Programmer Analyst — Contract

arcusbiosciencescareers; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work option

Job summary

Arcus Biosciences is seeking a Senior Statistical Programmer Analyst to support submission readiness of study data packages per CDISC standards and FDA guidance. You will plan, execute, and quality control statistical analyses and programming infrastructure, collaborating with statisticians, data managers, and cross-functional teams.

The candidate should be an experienced SAS programmer with strong communication skills, able to work with diverse data types in a biotech environment and contribute

Qualifications

• Bachelor’s or Master’s degree in data science or related field with commensurate experience.
• Minimum 8+ years programming experience in biotech or pharmaceutical clinical trials.
• Experience with SAS Macros, R or Python for statistical programming.
• Strong knowledge of CDISC SDTM/ADaM standards and health authority reporting requirements.

Responsibilities

• Develop specifications and build programs for data reviews, publications, and regulatory review.
• Prioritize deliverables and support safety signal detection analyses.
• Collaborate with data management on CRFs, database specs, and data transfer specs.
• Ensure on-time delivery of CRO-generated analyses results.
• Create and review SDTM/ADaM mappings and define.xml files.

Skills

SAS programming

Statistical analysis

Clinical trial knowledge

Communication skills

Education

Data science degree

Tools

SAS Macros

R

Python

Unix scripts

Job description

Arcus Biosciences is seeking a Senior Statistical Programmer Analyst to support submission readiness of study data packages per CDISC standards and FDA guidance. You will plan, execute, and quality control statistical analyses and programming infrastructure, collaborating with statisticians, data managers, and cross-functional teams.

The candidate should be an experienced SAS programmer with strong communication skills, able to work with diverse data types in a biotech environment and contribute