CMC Statistician

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

Benefits offered by this job

Health care

Vision

Dental

Retirement

PTO

Sick leave

Job summary

Bayer is seeking a CMC Statistician for Berkeley, CA to perform advanced statistical analyses and data mining on biotech data. You will develop experimental designs, sampling techniques, and analytical methods, querying large biotech datasets while cleaning and validating data for modeling.

Requires Ph.D. in Statistics/Applied Math or related field with 1 year Python/R ML experience; Master’s with 3 years accepted.

Qualifications

• PhD in Statistics, Applied Mathematics or closely related quantitative field, or equivalent experience.
• PhD holders with 1 year Python and R experience may apply; master’s with 3 years also considered.
• Experience designing and delivering statistical models and ML algorithms in biotech.

Responsibilities

• Perform advanced statistical analyses and data mining on biotech data.
• Develop and test experimental designs, sampling techniques, and analytical methods.
• Query large structured and unstructured biological data from multiple sources.
• Clean and validate data to ensure accuracy and uniformity for analysis.
• Develop models to simulate biologic processes, functions and behavior.
• Report results and provide recommendations for process control and optimization.

Skills

Python

R

Machine learning

Data mining

Time series

ANOVA

GitLab

Jupyter

GCP

AWS

Education

PhD in Statistics/Applied Mathematics

Master's in Statistics/Applied Mathematics

Tools

GitLab

Jupyter

GCP

AWS

Domino

Job description

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ‘Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re 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 you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s 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 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.

Location: United States : California : Berkeley

Division: Enabling Functions

Reference Code: 878204

Contact Us

Email: [e-mail]

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