Senior Principal Data Scientist, Real-World Evidence

Johnson & Johnson Co.

Titusville (NJ)

Vor Ort

USD 137.000 - 236.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

401(k) plan
Pension plan
Paid time off
Long-term incentive

Zusammenfassung

Johnson & Johnson Innovative Medicines seeks a hands‑on leader for the Real‑World Evidence & Advanced Analytics team. You will manage a portfolio of RWE projects, mentor colleagues, and develop best practices and tools to accelerate project delivery.

A Ph.D. in epidemiology or biostatistics is required, with expert coding in R, Python, or SAS and 5+ years in biopharma or healthcare. You will design studies, align with regulatory reviews, and translate data into actionable insights.

Qualifikationen

  • Ph.D. in epidemiology or biostatistics.
  • Expert coding skills in R, Python, or SAS.
  • 5+ years in biopharma, RWE consulting, or related healthcare industries.
  • Hands-on experience with data extraction, cleaning, and analysis; bias mitigation.
  • Experience with multiple real-world data sources (EHR, claims, registry).
  • Strong interpersonal, communication and presentation skills.

Aufgaben

  • Lead a portfolio of Real‑World Evidence projects and mentor team members.
  • Develop and maintain a common set of tools to accelerate project delivery.
  • Design and execute end‑to‑end RWE studies from concept to interpretation.
  • Provide guidance on RWD methodologies to reduce biases and support regulatory interactions.
  • Generate actionable insights from post‑hoc analyses, observational databases, and literature reviews.

Kenntnisse

R
Python
SAS
Communication
Presentation
RWE data sources

Ausbildung

PhD in epidemiology or biostatistics

Tools

R
Python
SAS

Jobbeschreibung

Johnson & Johnson Innovative Medicines seeks a hands‑on leader for the Real‑World Evidence & Advanced Analytics team. You will manage a portfolio of RWE projects, mentor colleagues, and develop best practices and tools to accelerate project delivery.

A Ph.D. in epidemiology or biostatistics is required, with expert coding in R, Python, or SAS and 5+ years in biopharma or healthcare. You will design studies, align with regulatory reviews, and translate data into actionable insights.

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