Senior Statistical Programmer - RWE Analytics

Cytel; Sacramento (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Cytel Inc. in the United States is seeking an experienced epidemiology data scientist to support the Real World Evidence (RWE) program.

You will work with the Epidemiology team to prepare RWD, advise on analytic strategies, and coordinate with stakeholders across clinical development and medical affairs. Responsibilities include programming and conducting analyses in SQL/SAS/R, creating analytic databases, producing tables and figures, and presenting results to investigators and clients.

Qualifications

• Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics, or related field with 5+ years RWE analytics.
• Strong SQL, SAS or R proficiency and experience with large real-world data sources.
• Experience with Optum Clinformatics, Truveta, and UK Biobank.
• Familiarity with relational databases and claims data layouts.
• Expertise in regression, survival, Cox, GLM/GEE, and propensity weighting.
• Excellent project management and stakeholder communication.

Responsibilities

• Provide support to Epidemiology team with Real World data and analytic strategies.
• Program and conduct statistical analyses with SAS/R and data coding.
• Create analytics databases and generate tables/figures for reports.
• Present results to investigators and clients and assist in study reports.
• May assume supervisory responsibilities in the future.

Skills

SQL proficiency

SAS or R proficiency

RWE analytics experience

Project management

Communication skills

Education

Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics, economics

Tools

SAS

R

Clinformatics Datamart

Truveta

UK Biobank

Job description

Cytel Inc. in the United States is seeking an experienced epidemiology data scientist to support the Real World Evidence (RWE) program.

You will work with the Epidemiology team to prepare RWD, advise on analytic strategies, and coordinate with stakeholders across clinical development and medical affairs. Responsibilities include programming and conducting analyses in SQL/SAS/R, creating analytic databases, producing tables and figures, and presenting results to investigators and clients.