Senior Study Database Lead

Abbott; Maple Grove (MN); On-site; USD 113,000 - 227,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Tuition reimbursement

FreeU education benefit

Job summary

Abbott in Maple Grove, MN seeks a Senior Manager, Study Database Management to lead database configuration activities for clinical trials. You will drive quality, efficiency, and governance across the portfolio, partnering with Clinical Data Management, Analytics, Data Systems, and Study Management.

You will establish standards for database development, align databases to common data models, and lead initiatives to improve standardization, data quality, and scalability, ensuring timely delivery

Qualifications

• Associate’s degree required.
• 7 years’ related experience required.
• Bachelor’s degree in life sciences, computer science, information systems or related field preferred.
• 8+ years’ experience in data, systems or operations in healthcare/life sciences preferred.
• 3+ years’ people leadership experience preferred.

Responsibilities

• Lead and mentor a team delivering study database configuration across clinical programs.
• Oversee planning, execution, and delivery of clinical study database builds across multiple studies.
• Provide strategic guidance for complex database design and implementation challenges.
• Establish and enforce database development standards and data models alignment.
• Collaborate with cross-functional study teams to translate data requirements into database configs.

Skills

People leadership

Cross-functional collaboration

Data governance

Stakeholder management

Education

Associate’s degree

Bachelor’s degree (preferred)

Job description

Abbott in Maple Grove, MN seeks a Senior Manager, Study Database Management to lead database configuration activities for clinical trials. You will drive quality, efficiency, and governance across the portfolio, partnering with Clinical Data Management, Analytics, Data Systems, and Study Management.

You will establish standards for database development, align databases to common data models, and lead initiatives to improve standardization, data quality, and scalability, ensuring timely delivery