Clinical Systems Designer I, Data & Trials

AbbVie; California (MO); On-site; USD 110,000 - 165,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision insurance

401(k)

Job summary

AbbVie is seeking a Data Science professional to drive design and delivery of clinical data systems, ensuring data standards and end-to-end data flow across studies. You will influence cross-functional teams to meet program objectives and stay aligned with regulatory requirements.

The role emphasizes mentoring junior associates, driving process improvements, and collaborating with DSS to optimize study delivery and data quality. Strong communication and analytical skills are essential.

Qualifications

• Bachelor’s degree in business, MIS, computer science, life sciences or equivalent.
• Masters preferred
• 3+ years of clinical technology experience (EDC, IRT, ePRO) or 5+ years in a similar technical/clinical development role.
• Knowledge of CDASH and SDTM.
• Strong communication and analytical skills.

Responsibilities

• Ensure study protocols are reflected in systems designs and that data standards are used.
• Design systems for functionality, end user experience, and data flow.
• Own on-time design and delivery of new clinical systems and integrations; manage timelines and risk.
• Coach and mentor Data Science Associates.
• Collaborate across DSS and cross-functional teams to meet program objectives.
• Ensure compliance with GCPs, ICH guidelines, AbbVie SOPs and local regulations.

Skills

Influence without authority

Communication

Analytical skills

Mentoring/leadership

Education

Bachelor’s degree in business or life sciences or related field

Masters preferred

Tools

EDC

IRT

ePRO

CDASH/SDTM

Job description

AbbVie is seeking a Data Science professional to drive design and delivery of clinical data systems, ensuring data standards and end-to-end data flow across studies. You will influence cross-functional teams to meet program objectives and stay aligned with regulatory requirements.

The role emphasizes mentoring junior associates, driving process improvements, and collaborating with DSS to optimize study delivery and data quality. Strong communication and analytical skills are essential.