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Statistical Analyst

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Arsenault
Full Time position
Listed on 2026-01-14
Job specializations:
  • Healthcare
    Data Scientist
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Arsenault is partnered with an established consulting company that provides insights to healthcare companies. They are looking to bring on a Statistical Analyst.

This person will be responsible for hands-on execution and delivery of analytical solutions ranging from performing secondary data analysis, designing proprietary market research surveys, working with third-party vendors, and leading components of market and demand modeling initiatives.

Job Responsibilities:
  • Formulate hypotheses against preset issues
  • Structure approaches and timelines for areas of direct responsibility
  • Build datasets for project-specific modeling including cleaning, restructuring and validating data
  • Demonstrate expertise in either quantitative or qualitative analysis
  • Prepare report outlines and draft conclusion sections of assigned areas of analysis
  • Use exhibits creatively to support findings and conclusions and organize and write sections of presentations, following the report outline
  • Facilitate client buy-in to analytic approach and results
  • Make substantive contributions to projects in terms of facts and analytic techniques
Job Requirements:
  • Masters degree in biostatistics, statistics, epidemiology, economics, mathematics, engineering, operations research, health informatics, or related quantitative field
  • Two years of relevant work experience as an analyst with demonstrated performance in a healthcare professional services firm, healthcare sciences product company or related organization
  • Demonstrated analytical skills
  • Exposure to primary market research instrument design and data collection, management, analytics, and reporting
  • Working knowledge of commonly used complex biopharmaceutical industry data sources
  • Strong analytic and quantitative reasoning and enjoy problem-solving
  • Candidates should have exposure to and experience across various functional areas including market research, business analytics, marketing, marketing science, etc.
  • Knowledge of drug development, business commercialization and marketing processes in biopharmaceutical industry
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