CMC Statistician

About the role

Perform advanced statistical analyses & data mining; develop & test experimental designs, sampling techniques, and analytical methods; query large sets of structured & unstructured biological and biotechnology data from disparate sources; clean & validate data to ensure accuracy, completeness and uniformity for statistical analysis; develop mathematical & statistical models to simulate biologic processes, functions & behaviors, and report results; design experiments for biologics & perform data analysis using statistical methods and machine learning tools.

Responsibilities

• Develop & deliver statistical models and machine learning algorithms using biotech data sets
• Monitor biological systems & make recommendations regarding process control and optimization
• Transform semi-structured and unstructured biological process sensor data and biological product analytical data into features for model development
• Support biological processes, product development & GMP cell therapy manufacturing applying design of experiments & advanced statistical data analysis
• Query biological process data & perform data mining and visualization in GCP, AWS and/or Domino
• Develop models with genomic data to conduct time series & ANOVA analysis for biological data sets

Requirements

• Ph.D. in Statistics, Applied Mathematics or closely related quantitative field & 1 yr experience in using Python and R to design, develop & deliver statistical models and machine learning algorithms using biotech data sets
• Monitoring biological systems & making recommendations regarding process control and optimization
• Using gitlab & Jupyter to transform semi-structured and unstructured biological process sensor data and biological product analytical data into features for model development
• Supporting biological processes, product development & GMP cell therapy manufacturing applying design of experiments & advanced statistical data analysis
• Querying biological process data & performing data mining and visualization in GCP, AWS and/or Domino
• Developing models with genomic data to conduct time series & ANOVA analysis for biological data sets

Qualifications

• Master’s degree in stated fields and 3 yrs stated experience

Skills

• Advanced statistical analysis
• Data mining and visualization
• Machine learning algorithms
• Biological system monitoring
• Design of experiments
• Genomic data analysis

Benefits

• Health care
• Vision
• Dental
• Retailment
• PTO
• Sick leave

Pay

Salary Range: Employees can expect to be paid a salary between $165,000.00 to $185,000.00. Additional compensation may include a bonus or commission (if relevant).

Schedule

Telecommuting permitted from home office location within reasonable commuting distance of Berkeley, CA up to 3 days per week.