Senior Biostatistician, Genomic Biomarker Analytics

Abbott (abbottcareers2 board); United States; On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

HIP PPO health plan

Retirement plan

Tuition reimbursement

FreeU education benefit

Job summary

Abbott is seeking a Senior Non-Clinical Biostatistician to apply strong statistical and computational skills in the development, validation, and support of genomic biomarker assays. The role partners with cross-functional teams for study design, analysis, reporting, and internal publications related to analytical validation and process monitoring.

The ideal candidate has expertise in molecular diagnostics evidence generation, including development, verification, and clinical validation, with

Qualifications

• Master's degree in Biostatistics or related field as outlined in duties.
• 6+ years of relevant experience and strong statistical understanding.
• Proficient in SAS, R, or Python for analysis.
• Professional Microsoft Office proficiency (Word, Excel, PowerPoint).
• Authorization to work in the United States without sponsorship.

Responsibilities

• Perform statistical activities in support of development, study design and data analysis.
• Liaise with cross-functional departments and regulatory submissions.
• Apply statistical concepts to achieve objectives with creative, effective solutions.
• Collaborate with statistical teammates and external collaborators.
• Communicate results clearly through reports and presentations.
• Travel between Abbott Cancer Diagnostics locations (up to 5% of time).

Skills

Statistical programming

Data analysis

Communication skills

Independent work

Cross-functional collaboration

Education

Master's degree in Biostatistics

PhD in Biostatistics

Tools

SAS

R

Python

Job description

Abbott is seeking a Senior Non-Clinical Biostatistician to apply strong statistical and computational skills in the development, validation, and support of genomic biomarker assays. The role partners with cross-functional teams for study design, analysis, reporting, and internal publications related to analytical validation and process monitoring.

The ideal candidate has expertise in molecular diagnostics evidence generation, including development, verification, and clinical validation, with