Data analysis-Associate Scientist

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Job Summary:
Responsible for providing support to the Process Analytics group, a unit within the Digital Integration & Predictive Technologies (DIPT) organization in Process Development. The position will be based in Thousand Oaks, CA. Support will include organizing and interpreting lab data, analyzing results using statistical techniques. The responsibilities also include performing laboratory experiments including unit operations set up, calibration of various lab tools, sampling and data acquisition from primary or secondary data sources with minimal supervision.

Basic Qualifications
• Bachelor’s degree
OR
• Associate’s degree & 4 years of directly related experience
OR
• High school diploma / GED & 6 years of directly related experience

Preferred Qualifications
• B.Sc., in Chemical, Biochemical Engineering or Life Sciences, preferably with expertise in bio/pharmaceutical processes.
• Practical experience and interest in multivariate data analysis and predictive modeling.
• Experience working with large data sets, data mining and machine learning tools.
• Experience in Matlab or R Programming Languages and basic Microsoft tools.
• Understanding of biopharmaceuticals process, related unit operations including analytical methods and process controls.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Independent, self-motivated, organized, able to multi-task in project environments, and skilled in communication, facilitation, and collaboration.
• Team player, prepared to work in and embrace a team-based culture that relies on collaboration for effective decision-making
• Solid leadership, technical writing, and communication/presentation skills.

Basic Qualifications
• Bachelor’s degree
OR
• Associate’s degree & 4 years of directly related experience
OR
• High school diploma / GED & 6 years of directly related experience

Preferred Qualifications
• B.Sc., in Chemical, Biochemical Engineering or Life Sciences, preferably with expertise in bio/pharmaceutical processes.
• Practical experience and interest in multivariate data analysis and predictive modeling.
• Experience working with large data sets, data mining and machine learning tools.
• Experience in Matlab or R Programming Languages and basic Microsoft tools.
• Understanding of biopharmaceuticals process, related unit operations including analytical methods and process controls.
•
Strong analytical skills with the ability to collect, organize,
analyze, and disseminate significant amounts of information with
attention to detail and accuracy
• Independent, self-motivated,
organized, able to multi-task in project environments, and skilled in
communication, facilitation, and collaboration.
• Team player, prepared to work in and embrace a team-based culture that relies on collaboration for effective decision-making
• Solid leadership, technical writing, and communication/presentation skills.

All your information will be kept confidential according to EEO guidelines.