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CMC Statistician

Bayer


Job Location:

Berkeley, CA - USA

Monthly Salary: $ 165000 - 185000
Posted: 27 August 2026 (12 hours ago)
Application Deadline: 24 November 2026
Vacancies: 1 Vacancy

Job Summary

At Bayer were visionaries driven to solve the worlds toughest challenges and striving for a world where Health for all Hunger for none is no longer a dream but a real possibility. Were doing it with energy curiosity and sheer dedication always learning from unique perspectives of those around us expanding our thinking growing our capabilities and redefining impossible. There are so many reasons to join us. If youre hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference theres only one choice.

CMC Statistician

CMC 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 Masters 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 $165000.00 to $185000.00. 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 applicants location market data/ranges an applicants 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 . Include reference code below with resume.

YOUR APPLICATION

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity and want to impact our mission Health for all Hunger for none we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies including without limitation U.S. Executive Orders.
Bayer is an E-Verify Employer.
Location:United States : California : Berkeley
Division:Enabling Functions
Reference Code:878204
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About Company

We address some of the world's most pressing global challenges and continue to develop new solutions. The population is constantly growing and its age is increasing. That is why it needs better medicines and high-quality food in sufficient quantities. Learn more about it here.

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