Process Engineer II/III, Business Analysis Modeling
- Employer
- Just - Evotec Biologics
- Location
- Seattle, WA
- Start date
- Oct 4, 2021
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- Discipline
- Engineering, Information Technology, Business/Data Analytics
- Required Education
- Masters Degree/MBA
- Position Type
- Full time
- Hotbed
- BioForest
Position Requirements:
• B.S. degree in chemical or biochemical engineering and MBA/Master’s degree in a business discipline with 0-2 years of experience and/or Ph.D. degree. Formal training in data analytics or related discipline (e.g., data science, statistics, etc.) is a plus
• Knowledge of modeling and data analytics pipelines using specialized software programming tools (e.g., Python, MATLAB, C/C++)
• Ability to communicate technical ideas to business units within the organization
• Knowledge of bioprocess engineering, including basic unit operations models for bioreactor fermentation and recovery and purification of products
• In-depth scientific knowledge of biopharmaceutical manufacturing, process cost and economic models, financial and investment valuation techniques
• Knowledge of scientific visualization techniques, including abstraction of complex and multivariate data using Tableau, Python or R
• Ability to organize, analyze/interpret, and effectively communicate individual results
• Applies knowledge and expertise to solve complex technical problems; may apply novel approach that provides significant technology advancement
• Can work independently and deliver results within specific timelines; contributes to multi-disciplinary teams at the functional level; mentors and provides technical advice to individuals within the team
• Good interpersonal, team, and collaborative skills are a must
• Excellent oral and written communication skills
Additional Preferred Qualifications:
• Knowledge of algorithm and software development for plant simulation (e.g., dynamic modeling, plant scheduling and debottlenecking)
• Working knowledge of database querying and programming (e.g., SQL, Access)
• Working knowledge of manufacturing process equipment and automation systems
• Scientific journal publication writing experience is desirable
Worker
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