CMC Statistician

Bayer•Berkeley, CA

3d•$165,000 - $185,000•Hybrid

About The Position

At Bayer, we are driven by the vision of solving the world's toughest challenges and striving for a world where 'Health for all, Hunger for none' is a reality. We achieve this through energy, curiosity, and dedication, learning from diverse perspectives, expanding our capabilities, and redefining the impossible. If you are eager to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, Bayer is the place for you. This CMC Statistician role in Berkeley, CA involves performing advanced statistical analyses and data mining, developing and testing experimental designs, sampling techniques, and analytical methods. The position requires querying large sets of structured and unstructured biological and biotechnology data from various sources, and cleaning/validating data for accuracy, completeness, and uniformity. Responsibilities include developing mathematical and statistical models to simulate biologic processes, functions, and behaviors, reporting results, designing experiments for biologics, and performing data analysis using statistical methods and machine learning tools.

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

Responsibilities

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
Monitor biological systems & making recommendations regarding process control and optimization
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