Biostatistician

Abbott

Alameda, CA, United States
Base: $85,600.00 – $156,000.00; bonus/equity: not ...
Onsite
Sas/r programming for statistical analysis
Clinical data review and statistical plan development
Cross-functional communication with study teams
Abbott is seeking a Biostatistician to join their Diabetes Care division in Alameda, CA. The role involves providing statistical input for study design, conducting data analysis, and collaborating with cross-functional teams, all while working onsite

Job Summary

  • Abbott is a global healthcare leader dedicated to improving lives through innovative medical devices and diagnostics.
  • The Biostatistician role involves designing studies, analyzing clinical data, and communicating statistical findings to cross-functional teams.
  • Employees enjoy comprehensive benefits including free medical coverage, retirement savings plans, tuition reimbursement, and a supportive work environment.

Matching Summary

Match Score: 85

Abbott is seeking a Biostatistician to join their Diabetes Care division in Alameda, CA. The role involves providing statistical input for study design, conducting data analysis, and collaborating with cross-functional teams, all while working onsite.

Salary

Base: $85,600.00 – $156,000.00; Bonus/Equity: Not specified; Benefits: Free medical coverage, retirement plan, tuition reimbursement

Skills & Requirements

Must-have

  • SAS/R programming for statistical analysis
  • Clinical data review and statistical plan development
  • Cross-functional communication with study teams
  • Statistical analysis plan (SAP) preparation
  • Experimental design and statistical analyses
  • Onsite work Monday-Friday in Alameda, CA

Nice-to-have

  • Career development in international company
  • Employee diversity and inclusion focus
  • Tuition reimbursement and education benefits
  • Free medical coverage and retirement plan
  • Experience with diabetes care products

Key Requirements

  • Bachelor’s degree in Statistics or related field plus 1 year experience
  • MS or PhD in Statistics or related field
  • Minimum 2 years SAS/R programming experience
  • Statistical writing and data analysis experience

Work Rights

Not specified

Tailored Resume

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