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Associate Director RWD Scientist (all genders)

TN Germany

Darmstadt

Vor Ort

EUR 60.000 - 80.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Join a leading company in healthcare analytics to shape the future of healthcare through innovative statistical input and Real World Data analyses. As a key member, you will design data solutions, collaborate with teams, and communicate results effectively, driving clinical development and regulatory compliance.

Qualifikationen

  • 4-8 years of experience with RWD/RWE in the pharmaceutical industry.
  • Experience in writing and implementing statistical analysis plans.

Aufgaben

  • Architecting, designing, and scaling data analytics solutions.
  • Processing large datasets and creating user-friendly application interfaces.

Kenntnisse

Predictive modeling
Data science
Communication

Ausbildung

PhD
MSc

Tools

R

Jobbeschreibung

Join our team and take part in delivering cutting-edge statistical input and Real World Data (RWD) analyses essential for driving clinical development, regulatory compliance, and pharmacovigilance initiatives. Your role will involve:

  1. Architecting, designing, and scaling data analytics solutions
  2. Predictive modeling, data science, mining, visualization, and implementing algorithms
  3. Writing statistical sections of study protocols
  4. Collaborating closely with study teams
  5. Communicating results effectively to stakeholders
  6. Refining and defending data analytics standards
  7. Processing large datasets and creating user-friendly application interfaces

You will also:

  1. Meet timelines and maintain high-quality deliverables according to standards
  2. Provide RWD/RWE advice to stakeholders

If you're passionate about RWD/RWE and innovative methods to inform healthcare decisions, and thrive in a collaborative environment, we invite you to join us in shaping the future of healthcare.

Who you are:
  • Background in health and life sciences (biostatistics, epidemiology) or quantitative data sciences
  • Doctoral and/or master’s degree (e.g., PhD, MSc) in Biostatistics, Epidemiology, Mathematics, or related field
  • Extensive experience with RWD/RWE (4-8 years) in the pharmaceutical industry
  • Experience in writing and implementing statistical analysis plans
  • Experience processing large real-world datasets
  • Knowledge of predictive modeling, machine learning, and AI is a plus
  • Coding experience in R is a plus
  • Excellent communication skills and ability to engage scientifically
  • Collaborative and proactive working style, capable of working independently
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