Location: On-Site (Maple Grove, MN or Santa Clara, CA)
Company: Abbott – Transforming Healthcare with Cutting-Edge Technology
At Abbott, we’re driving the future of healthcare through life-changing technologies that help people live fuller lives at every stage. With a global presence in 160+ countries, Abbott is dedicated to improving the health of people worldwide—whether it’s through medical devices, diagnostics, nutrition, or branded generics. With over 114,000 employees across the globe, Abbott is a recognized leader in healthcare, driven by our passion for improving lives.
We believe that by supporting our employees’ growth, we’re shaping a brighter future for everyone. When you join Abbott, you’ll experience a company that encourages career development, offers outstanding benefits, and is committed to diversity and inclusion. Ready to make a difference?
We are looking for a Statistical Analyst to join our Clinical Research team for Abbott Medical Devices. In this role, you’ll play a key part in supporting our Cardiovascular Division (CVD) by providing statistical expertise for clinical studies. This is your chance to work with some of the most innovative medical devices in the world while applying your SAS programming skills to solve complex data challenges and provide insights that drive impactful decision-making.
This role is based on-site in either Maple Grove, MN, or Santa Clara, CA—so if you’re passionate about using your statistical skills in a fast-paced, impactful environment, this is the opportunity for you.
Collaborate with Cross-Functional Teams: Partner with Biostatistics Supervisors, clinical teams, and regulatory staff to prepare the statistical section of protocols, design statistical analysis plans, and contribute to clinical study protocols.
Data Handling & Analysis: Write SAS programs to create reports, check data quality, and handle complex statistical data issues. You’ll also perform data validation, prepare datasets, and ensure that clinical data is analyzed accurately for various projects.
Design & Implement Study Tools: Create randomization, sampling, and other essential study tools, and perform sample size and power calculations to support study design.
Report Generation: Develop, validate, and present statistical analysis summary tables, reports, and patient data listings for regulatory reports, IRBs, conferences, and Annual Reports.
Support Study Timelines: Work with Biostatistics Supervisor/Manager and study teams to meet deadlines, ensuring the availability of up-to-date, error-free data for analysis.
Quality Control & Issue Resolution: Perform quality checks of SAS datasets and collaborate with clinical teams to identify and resolve data issues promptly.
Contribute to Publications & Presentations: Assist with statistical analysis for publications, presentations, and support the interpretation of statistical data across various departments.
Ongoing Learning & Development: Stay up-to-date with the latest advancements in clinical research and biostatistics, applying best practices to improve team effectiveness.
Required:
Preferred:
At Abbott, we understand that work-life balance and professional growth go hand-in-hand. We offer a competitive range of benefits to support your personal and professional journey, including:
Abbott is more than just a place to work—it’s a place where your contributions make a difference. Whether you’re helping to develop innovative medical devices, analyzing data that supports life-saving research, or collaborating with teams to transform healthcare, your work at Abbott will have a direct impact on improving people’s lives. We offer a supportive and empowering environment where you can make meaningful contributions while growing both professionally and personally.
If you’re an analytical thinker with a passion for statistical analysis, clinical research, and medical devices, we want you to apply now. Abbott is your platform to help shape the future of healthcare!
Abbott is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, veteran status, or any other protected characteristic.
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