Senior Clinical Research Scientist

Abbott

Sylmar, CA, US
Base: $90,000.00 – $180,000.00; bonus/equity: not ...
Real-world evidence study leadership
Statistical programming in sql r sas python
Electronic health records data analysis
This role provides scientific leadership for real-world evidence studies supporting post-market regulatory requirements and reimbursement strategies for Abbott's Electrophysiology portfolio

Job Summary

  • This role provides scientific leadership for real-world evidence studies supporting post-market regulatory requirements and reimbursement strategies for Abbott's Electrophysiology portfolio.
  • The successful candidate will lead the design, execution, and dissemination of observational studies using large-scale data sources including electronic health records and device-generated data.
  • Abbott offers comprehensive benefits including free medical coverage options, high employer retirement contributions, tuition reimbursement, and recognition as a top global employer for diversity and scientists.

Matching Summary

This role provides scientific leadership for real-world evidence studies supporting post-market regulatory requirements and reimbursement strategies for Abbott's Electrophysiology portfolio.

Salary

Base: $90,000.00 – $180,000.00; Bonus/Equity: Not specified; Benefits: Free medical coverage, retirement savings plan, tuition reimbursement

Skills & Requirements

Must-have

  • Real-world evidence study leadership
  • Statistical programming in SQL R SAS Python
  • Electronic health records data analysis
  • Cardiac electrophysiology therapeutic knowledge
  • Regulatory submission protocol development

Nice-to-have

  • Cross-functional collaboration skills
  • Experience with external academic collaborators
  • Strong scientific communication abilities
  • Project management under tight timelines
  • Knowledge of FDA guidance on RWE

Key Requirements

  • Master's or PhD in biostatistics epidemiology or related field
  • 4+ years leading real-world evidence or outcomes research studies
  • Advanced hands-on experience with SQL R SAS Python
  • Deep understanding of epidemiologic study design methods
  • Background in cardiac electrophysiology clinical landscape

Work Rights

Not specified

Tailored Resume

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