Job Title: Engineer Biotech Data Analysis Local/hybrid (JP11062 Location: Thousand Oaks CA. (Hybrid) Employment Type: Contract Business Unit: Combination Product Advanced Analytics and Enabled Insights Duration: 18 months (with likely extensions and/or conversion to permanent) Posting Date: 11/16/22 Notes: Only qualified candidates need apply. Local/onsite about 2 days per week.
3 Key Consulting is hiring an Engineer for a consulting engagement with our direct client a leading global biopharmaceutical company.
Job Description: The Engineer will support the Combination Product Operations organization by improving the way Amgen manages and utilizes data to enhance data analysis and decision making within the organization. We are seeking a highly motivated individual who will be primarily responsible for analyzing scientific and business data. This individual will leverage insilico and mathematical modeling to evaluate potential opportunities that enable changes in business and operation performance.
The ideal candidate enjoys tackling challenges and excels at organizing information from numerous sources to provide wellconstructed deliverables. This may include but is not limited to the following:
Working with large quantities of data to enable general workflows such as data processing cleaning and labeling.
Developing enhancing automating and managing analytics models
Creating striking visualizations to aid in data interpretation and usage
Demonstrating modeling and visualization approaches as part of proofofconcept projects
Initiating and supporting the digitalization of experimental workflows.
Top Must Have Skills:
Engineering degree
Programming/coding experience
Data analysis
Curiosity is very valuable to the team
Basic Qualifications:
Bachelors degree in Science or Engineering plus 2 years of data analysis experience OR Masters degree in Science or Engineering
Experience with model simulation and analysis (MS&A) techniques for structural fluidic and heat transfer problems using commercial software
Experience with MATLAB and/or R Python.
Data analysis expertise and statistical or mechanistic modeling experience are required.
Experience with mathematical / first principles modeling and numerical techniques for model calibration and uncertainty quantification such as Monte Carlo simulations.
Providing documentation and technical support for internal customers
Deriving technical parameters and specifications from measured data
Experience with data visualization tools or packages such as Spotfire
Strong communication skills are a plus as is knowledge of process controls
Understanding business needs and developing novel yet practical solutions to meet those needs
Experience with combination products and device regulatory requirements and medical device development and engineering.
Preferred Qualifications:
Passion for proactively identifying opportunities through creative data analysis and modeling
Intellectual curiosity with ability to learn new concepts/frameworks algorithms and technology rapidly as needs arise
Ability to manage multiple competing priorities simultaneously
Ability to deliver work and provide positive leadership in a fastpaced multiproject teamoriented environment.
Ability to work in highly collaborative crossfunctional environments
Red Flags:
No engineering degree
No programming/coding experience
Interview process: Phone screening followed by technical panel interview
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