Biotech Data Statistician – Advanced Modeling & Experimental Design

Bayer CropScience Limited; Berkeley (CA); Hybrid; USD 165,000 - 185,000; Full time

Job summary

Bayer CropScience Limited, based in Berkeley, CA, seeks a CMC Statistician to perform advanced statistical analyses and data mining on biotech datasets. You will design experiments, sampling schemes, and analytical methods while validating data for rigorous statistical work.

Ph.D. in Statistics, Applied Mathematics, or related field with 1+ year Python/R experience is required; familiarity with GitLab, Jupyter, and cloud platforms (GCP/AWS) is a plus.

Qualifications

• Ph.D./Master in quantitative field with relevant experience.
• Experience with Python and R for modeling.
• Familiarity with cloud platforms (GCP/AWS) and data mining.
• GMP cell therapy manufacturing experience preferred.

Responsibilities

• Perform advanced statistical analyses and data mining.
• Develop experimental designs, sampling techniques and analytical methods.
• Query large biotech datasets and validate data for analyses.
• Develop models to simulate biologic processes and optimize performance.

Skills

Python

R

Machine learning

Statistical modeling

Data mining

Time series analysis

Education

Ph.D. in Statistics or Applied Mathematics

Master’s in Statistics or related field

Tools

GitLab

Jupyter

GCP

AWS

Domino

Job description

Bayer CropScience Limited, based in Berkeley, CA, seeks a CMC Statistician to perform advanced statistical analyses and data mining on biotech datasets. You will design experiments, sampling schemes, and analytical methods while validating data for rigorous statistical work.

Ph.D. in Statistics, Applied Mathematics, or related field with 1+ year Python/R experience is required; familiarity with GitLab, Jupyter, and cloud platforms (GCP/AWS) is a plus.