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Statistical Programmer Analyst
Statistical Programmer AnalystExperis • Los Angeles, California, US
Statistical Programmer Analyst

Statistical Programmer Analyst

Experis • Los Angeles, California, US
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Title : Statistical Programmer Analyst /  Data Analyst II

Location : Sylmar, CA or Santa Clara, CA

Duration : 12 Months

Work Arrangement : 100% Onsite

Pay Range : $46 – $51 per hour (W2)

We are seeking an “ Statistical Programmer Analyst /   Data Analyst II” to join one of our leading healthcare clients.

Position Overview

We are seeking a Data Analyst II to join one of our leading healthcare clients. This role supports real-world evidence (RWE), health economics, business analytics, and digital health initiatives. The Data Analyst II will work closely with Clinical Scientists and cross-functional study teams to support study design, statistical analysis, and data-driven insights using real-world healthcare data.

Key Responsibilities

  • Contribute to study methods and Statistical Analysis Plans (SAPs) in collaboration with Clinical Scientists and study teams.
  • Execute analytics tasks using real-world data with limited supervision.
  • Perform data preparation, data quality checks, analysis, and reporting.
  • Develop and troubleshoot programs using SAS, R, Python, or similar tools.
  • Validate programs, analysis datasets, and results to ensure accuracy and compliance.
  • Assist in interpretation and presentation of results through tables, figures, and written reports.
  • Support preparation of methodology summaries and analytical documentation.
  • Work with diverse data sources, including clinical trial data, electronic health records (EHR), device-generated data, and insurance claims data.
  • Review and summarize relevant background materials, clinical study publications, and scientific literature.
  • Maintain a strong scientific and analytical mindset across all project work.

Required Skills & Experience

  • SQL and / or Data Management
  • Statistical Programming (SAS, R, Python, or similar)
  • Experience with Real-World Data (RWD) / Real-World Evidence (RWE) or healthcare data
  • Background in Bioinformatics, Epidemiology, or related analytical disciplines
  • We are looking for the candidate who are eligible to work with any employers without sponsorship .

    If you’re interested, please click “Apply” button.

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