Senior Data Scientist & Real-World Data Programmer (SAS/R)

Syneos Health/ inVentiv Health Commercial LLC; Santa Monica (CA); On-site; USD 105,000 - 176,000; Full time

Benefits offered by this job

Health benefits: Medical, Dental, and

401(k) match

Employee Stock Purchase Plan

Bonus eligibility

Paid time off and sick time

Job summary

Syneos Health is seeking a Senior Programmer/Senior Data Scientist for Real-World Data analysis. The role requires strong SAS or R programming, handling commercial claims and EHR data, and performing longitudinal cohort studies with epidemiologic methods.

Advanced biostatistics or epidemiology training is preferred, with experience in the pharmaceutical industry advantageous. The team emphasizes data quality and robust analytical methods in a patient-centered drug development context.

Qualifications

• Undergraduate degree in a scientific or statistical discipline or equivalent combination of education and programming experience.
• Extensive programming experience in SAS or other required software, preferably in a clinical trial environment.
• Excellent written and verbal communication skills.
• Ability to read, write, speak and understand English.

Responsibilities

• Programming in SAS or R to analyze real-world data.
• Assess data quality and integrity of datasets.
• Review study protocols and SAPs; provide input during analyses.
• Conduct analyses and program table/figure listings (TFLs).

Skills

SAS

R

Longitudinal Cohort Studies

Epidemiology

Statistics

English Proficiency

Education

Advanced degree in Biostatistics or Epidemiology

Undergraduate degree in science or statistics

Tools

OHDSI Tools

OHDSI CDM

DARWIN EU Initiative

Job description

Syneos Health is seeking a Senior Programmer/Senior Data Scientist for Real-World Data analysis. The role requires strong SAS or R programming, handling commercial claims and EHR data, and performing longitudinal cohort studies with epidemiologic methods.

Advanced biostatistics or epidemiology training is preferred, with experience in the pharmaceutical industry advantageous. The team emphasizes data quality and robust analytical methods in a patient-centered drug development context.