Clinical Data Systems Specialist – Early Career

AbbVie; North Chicago (IL); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Paid time off

Insurance benefits

401(k)

Job summary

AbbVie Data Science is the best-in-class team within its cross-industry peer group and is responsible for bringing people, process, and technology together to generate business value from clinical trials data. Our operational model is exemplified through execution and innovation.

This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences.

Qualifications

• Bachelor’s degree in business, MIS, CS, life sciences or equivalent.
• Demonstrated effective communication skills.
• Demonstrated problem-solving and analytical skills.
• Demonstrated leadership traits.

Responsibilities

• Develops a deep understanding of clinical trial concepts and the ability to interpret cross-functional protocol requirements.
• Engages with DSS and cross-functional study teams to execute activities.
• Establishes proficiency with technology to execute activities.
• Establishes proficiency with standards for design and development of key system interfaces.
• Under direct supervision, supports execution of study startup, conduct and close-out processes.
• Under direct supervision, performs data analyses in support of operational decision making.
• Under direct supervision, supports development of clinical trial application design specifications.
• May rotate through multiple DS roles to build proficiency and understanding.

Skills

Communication skills

Problem-solving

Analytical skills

Leadership traits

Education

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

Job description

AbbVie Data Science is the best-in-class team within its cross-industry peer group and is responsible for bringing people, process, and technology together to generate business value from clinical trials data. Our operational model is exemplified through execution and innovation.

This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences.