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Associate Statistical Analyst

5+ years
$75,700 – $124,000 USD
10 Nov. 12, 2025
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences 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

Position Title:

Associate Statistical Analyst

Location:

United States – California – Santa Clara
(On-site daily role; may also be based in Maple Grove, MN)

Department:

Medical and Clinical Affairs

Company Overview:

Abbott is a global healthcare leader dedicated to helping people live more fully at all stages of life. Its portfolio includes diagnostics, medical devices, nutritionals, and branded generic medicines, with a presence in 160+ countries and 114,000 employees worldwide.


Working at Abbott:

At Abbott, employees can make a real impact while developing their careers in a supportive, growth-oriented environment.

Benefits Include:

  • Career development opportunities with a global leader.

  • Free medical coverage under the Health Investment Plan (HIP) PPO.

  • Excellent retirement savings plan with high employer contribution.

  • Tuition reimbursement and Freedom 2 Save student debt assistance.

  • FreeU Education Program – an affordable path to earning a bachelor’s degree.

  • Recognized globally as a Top Employer for diversity, inclusion, working mothers, female executives, and scientists.


The Opportunity:

Abbott’s Biometrics Team (Medical Devices Division) is seeking an Associate Statistical Analyst to contribute to clinical trial data management and analysis.

This role involves developing and validating SAS programs for datasets, tables, listings, and figures (TLFs), collaborating with cross-functional teams, ensuring data integrity, and supporting regulatory submissions and publications.


Key Responsibilities:

1. Statistical Programming & Data Management

  • Develop, validate, and maintain complex SAS programs for generating analysis datasets, tables, figures, and listings.

  • Conduct quality control checks of datasets and validate statistical outputs against source data.

  • Set up and maintain programming environments, study folders, and macros.

  • Maintain detailed documentation of datasets, programs, and specifications.


2. Collaboration & Study Support

  • Partner with biostatisticians, clinical, regulatory, and data management teams to define data specifications and resolve discrepancies.

  • Support regulatory submissions, IRB packages, DMC/CEC meetings, and scientific publications with statistical deliverables.

  • Collaborate with cross-functional teams to develop ADS specifications and mock shells aligned with protocol and analysis plans.


3. Technical & Analytical Expertise

  • Summarize statistical methodologies and interpret results for stakeholders.

  • Respond to ad hoc programming requests and perform complex data checks.

  • Ensure compliance with Quality Management Systems (QMS), Environmental Management Systems (EMS), and other regulatory requirements.

  • Provide technical guidance and troubleshooting for programming teams.


4. Team Leadership & Mentoring

  • Lead or mentor junior analysts (1–3 members per project).

  • Provide training, review support, and quality oversight for programming deliverables.

  • Communicate effectively with study teams and escalate issues promptly.


Required Qualifications:

  • Associate Degree (approximately 13 years of education)

  • Minimum 1 year of experience in data analysis or programming


Preferred Qualifications:

  • M.S. degree in Statistics, Biostatistics, or a related field with 3+ years of SAS/statistical programming experience
    OR
    Bachelor’s degree with 5+ years of related experience

  • Strong background in clinical trial data analysis using SAS

  • 2–5+ years experience in medical device or pharmaceutical research

  • Proven experience in highly regulated environments

  • Excellent organizational, communication, and documentation skills

  • Ability to multitask, prioritize, and meet tight deadlines

  • Strong attention to detail and team leadership capabilities


Core Competencies:

  • Proficiency in SAS programming and clinical data handling

  • Knowledge of biostatistical methods and GCP principles

  • Strong analytical and problem-solving abilities

  • Effective communication and teamwork skills

  • Regulatory and quality compliance understanding


Compensation:

Base Pay Range: $75,700 – $124,000 USD
(Pay may vary by specific location)