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Open nowFirst seen 36 hours ago

Statistical Analyst

Arsenault269 open roles

Where
Los Angeles, California, United States, Remote
Work mode
Remote
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Your applicationOpen nowStatistical AnalystArsenault · Los Angeles, California, United States, Remote

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  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 36 hours ago

The posting

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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