CMC StatisticianCMC Statistician for Berkeley, CA to 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. Requires 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; and developing models with genomic data to conduct time series & ANOVA analysis for biological data sets. Will also accept a Master's degree in stated fields and 3 yrs stated experience. Telecommuting permitted from home office location within reasonable commuting distance of Berkeley, CA up to 3 days per week. 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). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. The offered salary may vary within this range based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors. Mail resume to Jill Martin, Bayer HealthCare LLC, 800 N. Lindbergh Blvd., E2NE, St. Louis, MO 63167 or email resume to
[email protected]. Include reference code below with resume.
Location:United States : California : Berkeley
Division:Enabling Functions
Reference Code:878204
Contact Us Email:[email protected] 
