Clinical Trials Data Science Associate II

Allergan; Florham Park (NJ); On-site; USD 90,000 - 130,000; Full time

Job summary

AbbVie Data Science is seeking a detail-oriented professional to support clinical trial data and statistical sciences. You will execute study tasks, engage with cross-functional teams, and ensure data integrity and regulatory compliance across the study lifecycle.

The role emphasizes data standards, analytical support, and collaboration within a fast-paced environment, with opportunities to rotate through DS roles and develop broader expertise.

Qualifications

• Bachelor’s degree required; Master’s preferred.
• 2+ years of clinical research, analytics, life sciences or equivalent experience (or a Master’s with no experience).
• Demonstrated ability to contribute to initiatives and manage multiple priorities.
• Proven effective communication skills and leadership potential.

Responsibilities

• Execute assigned study tasks leveraging clinical trial concepts and protocol requirements.
• Collaborate with DSS and cross-functional teams to drive study activities.
• Utilize available technology to support data flows and system interfaces.
• Apply data standards (CDASH/SDTM) in design and development of data workflows.
• Support study startup, conduct, and close-out processes and analyses.
• Adhere to GCP, ICH, AbbVie SOPs and regulatory requirements.

Skills

Strong communication

Cross-functional collaboration

Analytical thinking

Education

Bachelor’s degree in business, MIS, CS, life sciences or equivalent

Master’s degree preferred

Job description

AbbVie Data Science is seeking a detail-oriented professional to support clinical trial data and statistical sciences. You will execute study tasks, engage with cross-functional teams, and ensure data integrity and regulatory compliance across the study lifecycle.

The role emphasizes data standards, analytical support, and collaboration within a fast-paced environment, with opportunities to rotate through DS roles and develop broader expertise.