Bayer is seeking a Biotech Data Scientist to solve challenges in the biotech industry by analyzing large datasets, developing models for biologic processes, and optimizing biological systems.
Requirements
- using Python and R to design, develop & deliver statistical models and machine learning algorithms using biotech data sets
- using gitlab, Jupyter and/or SIMCA to transform semi-structured & unstructured biological process sensor data and biological product analytical data into features for model development
- supporting biological process, product development and/or biologics manufacturing environment 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
Responsibilities
- query large sets of structured & unstructured biological and biotechnology data from disparate sources
- clean & validate data to ensure accuracy, completeness and uniformity for analysis
- perform advanced statistical analyses & data mining
- develop mathematical models to simulate biologic processes, functions & behaviors
- design experiments for biologics & perform data analysis using statistical methods and machine learning tools
- monitoring biological systems & making recommendations regarding process control and optimization
- transform semi-structured & unstructured biological process sensor data and biological product analytical data into features for model development
Other
- Telecommuting permitted from home office location within reasonable commuting distance of Berkeley, CA up to 3 days per week.
- Bachelor’s in Data Science, Applied Mathematics, Statistics or closely related quantitative field & 1 yr experience
- 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.
