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Statistical Analyst - Medical Devices

2+ years
$57,300 – $114,700
10 Dec. 4, 2024
Job Description
Job Type: Full Time Education: M.S. Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Job Title: Statistical Analyst - Medical Devices

Location: Maple Grove, MN or Santa Clara, CA (On-site role)
Category: Medical and Clinical Affairs


About Abbott

Abbott is a global leader in healthcare, offering innovative technologies in diagnostics, medical devices, nutrition, and branded generic medicines. With over 114,000 employees across 160+ countries, Abbott helps people live fuller, healthier lives.


Why Join Abbott?

  • Career Development: Global opportunities for career growth in an international company.
  • Comprehensive Benefits: Free medical coverage via HIP PPO, excellent retirement plans, and tuition reimbursement.
  • Employee Recognition: Abbott is a top workplace for diversity, working mothers, and scientists.
  • Impactful Work: Contribute to innovations that improve lives globally, with Abbott’s medical devices helping thousands daily.

The Opportunity

We are seeking a Statistical Analyst to join the Clinical Research team for Abbott Medical Devices. In this role, you will provide statistical expertise for clinical studies within the Cardiovascular Division (CVD). The position involves statistical programming, data analysis, report generation, and ensuring data quality for regulatory submissions.

Reporting To: Biostatistics Supervisor/Manager.


Key Responsibilities

Statistical Support & Analysis

  • Assist in preparing statistical sections of study protocols and writing statistical analysis plans.
  • Perform sample size/power calculations and create randomization and study tools.
  • Use SAS programming to create reports, validate data, and resolve statistical issues.
  • Generate and validate patient data listings, summary tables, and reports for regulatory submissions.
  • Collaborate with study teams to ensure error-free data for analysis.

Data Management & Reporting

  • Validate SAS datasets and ensure they meet study requirements.
  • Prepare datasets for statistical analysis and generate reports for regulatory and research purposes.
  • Provide statistical expertise for publications and presentations related to clinical studies.
  • Compile clinical data and provide analysis support to other departments as needed.

Collaboration & Support

  • Work with the Biostatistics Supervisor/Manager and clinical teams to meet study timelines and milestones.
  • Support external departments and teams with statistical analysis, interpretation, and report creation.

Required Qualifications

  • Education:
    • M.S. in statistics, biostatistics, or related field with 2+ years of experience in SAS programming and statistical analysis.
    • Alternatively, a Bachelor’s degree with 2-5+ years of experience in a similar role.
  • Experience:
    • Proven experience in SAS programming is required.
    • Knowledge of database software for clinical data analysis.

Preferred Qualifications

  • Advanced degree (Master’s, PhD).
  • 2-5+ years of experience in medical device or pharmaceutical clinical research.
  • Strong expertise in SAS and statistical analysis in a regulated environment.
  • Ability to work effectively in both team and independent settings.
  • Excellent communication skills, attention to detail, and organizational skills.

Compensation and Benefits

  • Base salary range: $57,300 – $114,700 (varies by location).
  • Extensive health and wellness benefits, retirement plans, and educational support.

Embark on a career that helps improve lives and makes a meaningful impact on global healthcare.
Apply Now to join Abbott’s mission of enhancing health worldwide.


Learn more:

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