Senior Biostatistician — AI-Validated Clinical Research (Hybrid)

Simulation 95; Menlo Park (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Simulation95, located in Menlo Park, CA, is seeking a Senior Biostatistician to help develop and validate AI applications for clinical research. The role requires extensive biostatistics expertise, collaboration with pharma/biotech/CRO teams, and a strong ability to explain complex statistical decisions.

You will translate clinical needs into AI tool requirements, review AI-generated analyses, and help define standards for accuracy and reproducibility.

Qualifications

• Extensive biostatistics experience, including direct responsibility for clinical trial design, analysis, and reporting.
• Established relationships with clinical development, biostatistics, or research teams in pharma, biotech, or CROs.
• Strong proficiency in R or SAS and the ability to explain complex statistical decisions clearly.
• Advanced degree in biostatistics, statistics, or a related quantitative field.

Responsibilities

• Translate clinical research needs into requirements for AI applications and analytical tools.
• Review and validate AI-generated statistical analyses, code, study designs, and conclusions.
• Define standards for accuracy, reproducibility, and appropriate human review.
• Assess endpoints, sample sizes, statistical analysis plans, and the interpretation of clinical evidence.
• Work with technical teams to identify errors and improve application performance.
• Identify industry needs, engage expert collaborators, and help develop research partnerships.

Skills

Biostatistics experience

Industry relationships

Explain complex stats

Education

Advanced degree in biostatistics

Tools

R

SAS

Job description

Simulation95, located in Menlo Park, CA, is seeking a Senior Biostatistician to help develop and validate AI applications for clinical research. The role requires extensive biostatistics expertise, collaboration with pharma/biotech/CRO teams, and a strong ability to explain complex statistical decisions.

You will translate clinical needs into AI tool requirements, review AI-generated analyses, and help define standards for accuracy and reproducibility.