Associate Director RWD Scientist (all genders) - part-time possible

TN Germany; Darmstadt; Vor Ort; EUR 70.000 - 90.000; Teilzeit

Zusammenfassung

A leading company in healthcare is seeking an Associate Director RWD Scientist to drive innovative data analytics solutions. The role involves collaborating on clinical development projects and providing insights from real-world data. Ideal candidates will have a strong background in health sciences and extensive experience in the pharmaceutical industry. Join us to shape the future of healthcare through data-driven decision-making.

Qualifikationen

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

Aufgaben

• Architect and design data analytics solutions and predictive modeling.
• Write statistical sections of study protocols and communicate results.
• Process large datasets and create user-friendly application interfaces.

Kenntnisse

Communication

Collaboration

Proactivity

Ausbildung

PhD

MSc

Tools

R

Jobbeschreibung

Associate Director RWD Scientist (all genders) - part-time possible, Darmstadt

Join our team and contribute to delivering cutting-edge statistical input and Real World Data (RWD) analyses essential for clinical development, regulatory compliance, and pharmacovigilance initiatives.

1. Architect, design, and scale data analytics solutions, predictive modeling, data science, mining, visualization, and algorithm implementation.
2. Write statistical sections of study protocols, collaborate with study teams, and communicate results effectively to stakeholders.
3. Articulate, refine, and defend data analytics standards while applying advanced analytics techniques.
4. Process large datasets, scale algorithms, and create user-friendly application interfaces.
5. Maintain high-quality deliverables in line with standards and provide RWD/RWE advice to stakeholders.

If passionate about RWD/RWE and innovative methods to inform decision-making, and thrive in a collaborative environment, 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) and 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 artificial intelligence is a plus.
• Coding skills in (R) are advantageous.
• Excellent communication skills and ability to engage with scientific evidence.
• Collaborative, proactive, and able to work independently.