Senior Data Scientist, RBQM Analytics for Clinical Dev

AbbVie; Florham Park (NJ); Presencial; USD 140 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Paid time off

Medical/dental/vision insurance

401(k)

Resumo da oferta

AbbVie is seeking a Senior Data Scientist for Risk Based Quality Management Analytics to enable data-driven decision making across the clinical development continuum. You will apply advanced analytics and ML techniques, collaborating with cross-functional teams to deliver innovative statistical solutions that comply with GCP and AbbVie standards.

The role emphasizes modeling, prototyping, and visual analytics to drive insights for precision medicine and trial optimization within a fast-paced

Qualificações

• 3–5 years analytics experience in clinical research.
• Proficiency in R, Python, SQL.
• Experience with ML and visualization tools.
• Strong communication skills.
• Experience in cloud environments (AWS/Azure) preferred.

Responsabilidades

• Connects with cross-functional teams to design work product and analytics strategy.
• Leads design principles to ensure consistent, high-quality analytical output.
• Develops prototypes, test methods and algorithms using ML/AI.
• Delivers data-driven insights to support clinical development and precision medicine.
• Ensures compliance with GCP/ICH and AbbVie SOPs in all analyses.

Conhecimentos

R

Python

SQL

Statistics

ML

Data Visualization

Communication

Formação académica

Bachelor’s degree in statistics/analytics/data science

Master’s degree preferred

Ferramentas

Spotfire

Tableau

MicroStrategy

Descrição da oferta de emprego

AbbVie is seeking a Senior Data Scientist for Risk Based Quality Management Analytics to enable data-driven decision making across the clinical development continuum. You will apply advanced analytics and ML techniques, collaborating with cross-functional teams to deliver innovative statistical solutions that comply with GCP and AbbVie standards.

The role emphasizes modeling, prototyping, and visual analytics to drive insights for precision medicine and trial optimization within a fast-paced