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Principal Data Scientist, Real World Evidence - REMOTE

Posted 7 days agoViewed

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💎 Seniority level: Principal, minimum of 5 years

📍 Location: United States

💸 Salary: 224000.0 - 249000.0 USD per year

🔍 Industry: Life sciences

🗣️ Languages: English

⏳ Experience: Minimum of 5 years

🪄 Skills: SQLTableauData visualizationData analyticsData management

Requirements:
  • Master’s or PhD in Data Science, Biostatistics, Epidemiology, Bioinformatics, or related field.
  • Minimum of 5 years of experience working with real-world data in pharmaceutical, biotech, or life sciences consultancy.
  • Expertise in analyzing insurance claims, EHRs, and genomic data.
  • Proficiency in at least one statistical programming tool (e.g., R, SAS) and SQL.
  • Experience with BI tools like Tableau or Power BI for data visualization.
Responsibilities:
  • Leverage diverse data sources including insurance claims and EHRs to generate actionable insights for drug development.
  • Lead enrollment modeling efforts to estimate patient enrollment rates and model study timelines.
  • Conduct regression modeling using patient-level and summary-level data.
  • Work closely with various teams to apply insights to trial design and patient recruitment strategies.
  • Develop clear reports using BI tools to present insights and recommendations.
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🔥 Principal Data Scientist, Real World Evidence - REMOTE
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💸 224000.0 - 249000.0 USD per year

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  • Master’s or PhD in Data Science, Biostatistics, Epidemiology, Bioinformatics, or a related field.
  • Minimum of 5 years of experience working with real-world data in the pharmaceutical, biotech, or life sciences consultancy.
  • Demonstrated expertise in analyzing insurance claims, EHRs, and genomic data.
  • Expertise in at least one statistical programming tool such as R, SAS, or other languages, with SQL proficiency.
  • Experience with BI tools like Tableau or Power BI.
  • Strong understanding of data management platforms and clinical trial management systems.
  • Excellent analytical and problem-solving skills with large datasets.

  • Leverage diverse data sources for actionable insights in drug development.
  • Lead enrollment modeling using Monte Carlo Simulations.
  • Perform statistical modeling including regression and propensity score models.
  • Collaborate with cross-functional teams to optimize trial design.
  • Develop reports using BI tools for insights and recommendations.
  • Ensure high data quality for robust analyses.

SQLBusiness IntelligenceTableauData scienceCollaboration

Posted 17 days ago
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