Biotech Data Scientist

Bayer • Berkeley, CA

176d • $150,000 - $157,360

About The Position

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. Biotech Data Scientist for Berkeley, CA to 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.

Requirements

• Bachelor’s in Data Science, Applied Mathematics, Statistics or closely related quantitative field.
• 1 year experience using Python and R to design, develop & deliver statistical models and machine learning algorithms using biotech data sets.
• Experience monitoring biological systems and making recommendations regarding process control and optimization.
• Experience 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.
• Experience supporting biological process, product development and/or biologics manufacturing environment applying design of experiments & advanced statistical data analysis.
• Experience querying biological process data & performing data mining and visualization in GCP, AWS and/or Domino.
• Experience 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.

Benefits

• Health care
• Vision
• Dental
• Retirement
• PTO
• Sick leave

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees