CMC Statistician (Berkeley, California, US)

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

Benefits offered by this job

Health care

Vision

Dental

Retirement plan

Paid time off

Sick leave

Telecommuting option

Job summary

Bayer in Berkeley, CA is seeking a CMC Statistician to perform advanced statistical analyses and data mining on large biotechnology datasets. You will develop and test experimental designs, sampling techniques, and analytical methods to advance biologics research.

The role requires Ph.D. in Statistics or Applied Mathematics (or Master’s with 3 years) and experience with Python and R; telecommuting up to three days per week from a home office within commuting distance of Berkeley.

Qualifications

• Requires Ph.D. in Statistics, Applied Mathematics or closely related quantitative field with 1 year of Python and R experience; may accept Master’s with 3 years of experience.
• Proven ability to design, implement and validate statistical models for biotech data.

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 diverse sources.
• Clean and validate data for accuracy and completeness in statistical analyses.
• Develop mathematical models to simulate biologic processes and report results.
• Design experiments for biologics and perform data analysis using statistical methods and machine learning tools.
• Collaborate on GMP cell therapy manufacturing data and process optimization.
• Query and visualize data in GCP, AWS and/or Domino.
• Transform sensor and analytical data into features for model development.

Skills

Python

R

Statistics

Machine Learning

Data Mining

Experimental Design

Time Series

ANOVA

Education

PhD in Statistics or Applied Mathematics

Master’s in Statistics or related field

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

• 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.
• 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.
• 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.
• 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.

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.

Bayer is an E-Verify Employer.

Location: United States : California : Berkeley

Division: Enabling Functions

Reference Code: 878204