Senior Biostatistician - Design, Analyze & Submissions

AstraZeneca plc; Boston (MA); On-site; USD 87,000 - 130,000; Full time

Benefits offered by this job

Retirement programs

Health benefits

Paid time off

Job summary

AstraZeneca plc in Boston seeks a Senior Biostatistician, Biostatistics, to support study design, analysis, and reporting under supervision. The role involves applying statistical methods, modelling, and simulation to inform design decisions and decision criteria, with production of analysis outputs for various studies.

The ideal candidate has MSc/PhD with some industry exposure; SAS or R programming skills are preferred, along with strong communication and time management capabilities.

Qualifications

• 1+ years of experience with MSc/PhD in statistics, mathematics containing statistics, or equivalent
• Programming knowledge with SAS or R preferred
• Strong communication and time management skills
• Office-based role requiring computer use and collaboration

Responsibilities

• Provide statistical support for study design and interpretation
• Perform statistical validation activities
• Analyze internal and external information to inform design decisions
• Apply modelling and simulation to inform study design
• Develop Statistical Analysis Plans for standard studies
• Produce analysis outputs for preclinical and clinical studies
• Interpret and communicate results of standard studies
• Support regulatory submissions

Skills

SAS

R programming

Statistical analysis

Communication

Time management

Self-awareness

Team collaboration

Education

MSc in Statistics or Biostatistics

PhD in Statistics/Biostatistics (preferred)

Tools

SAS

R

Job description

AstraZeneca plc in Boston seeks a Senior Biostatistician, Biostatistics, to support study design, analysis, and reporting under supervision. The role involves applying statistical methods, modelling, and simulation to inform design decisions and decision criteria, with production of analysis outputs for various studies.

The ideal candidate has MSc/PhD with some industry exposure; SAS or R programming skills are preferred, along with strong communication and time management capabilities.