Full Job Description
This is where you save and sustain lives
At Baxter, we are deeply connected by our mission. No matter your role at Baxter, your work makes a positive impact on people around the world. You’ll feel a sense of purpose throughout the organization, as we know our work improves outcomes for millions of patients.
Baxter’s products and therapies are found in almost every hospital worldwide, in clinics and in the home. For over 85 years, we have pioneered significant medical innovations that transform healthcare.
Together, we create a place where we are happy, successful and inspire each other. This is where you can do your best work.
Join us at the intersection of saving and sustaining lives— where your purpose accelerates our mission.
Join Baxter in our mission to save and sustain lives by playing an integral role by being part of a global team that is revolutionizing the way we view our manufacturing processes. As part of the Digital Transformation organization, our team is responsible for deploying edge analytics platforms that use advanced statistical methods to monitor critical manufacturing processes in real time. As part of this team, you will help enable plants globally with long term sustainability, training, method development, new process identification, technology development and more. Plan, execute and participate in critical engineering assignments by applying your knowledge and skills in a regulated environment.
Essential Duties and Responsibilities
Troubleshoot and solve production problems related to process equipment and develop corrective actions.
Develop and test models using various processing methods to assess feasibility, operating condition effects, possible new applications, and necessity of modification.
Read and interpret blueprints, technical drawings, schematics, and computer-generated reports.
Facilitate training sessions on a global scale
Work with minimal supervision for projects related to continuous improvement
Investigate potential new applications related to Multivariate Data Analysis, Machine learning, AI, Chemometrics
Willingness to travel for training sessions/MVDA applications at manufacturing facilities
Apply state of the art techniques in expertise to develop new or improved processes.
Support multiple projects globally
Troubleshoot issues with production equipment hardware and software.
Act as SME for new and existing technologies used throughout the network
Participate in cross-functional teams in detailed phases of the engineering work in a project.
Resolve issues related to projects and minimize delays or unexpected cost increases.
Able to work flexible hours as needed to support manufacturing activities.
Learn, understand, and apply rigorous quality standards, Standard Operating Procedures (SOPs) and Current Good Manufacturing Practices (cGMP)
Knowledge, Skill and Abilities
Must have experience or advanced training and demonstrate proficiency in a wide range of controls hardware and software.
Must have experience with PCA (Principle Component Analysis), and other multivariate data analysis methods (PLS, OPLS, etc.)
Ability to multi-task project responsibilities along with day-to-day activities.
Successful track record of managing activities related to large projects and production support.
Experience with data integrity requirements.
Display a solid understanding of PLCs, HMI software, vision inspection, robotics, and electrical systems.
Technical proficiency in Allen-Bradley systems including PLC5, SLC, RS Logix 5000
Ability to organize and present technical and project management overviews without assistance.
Understand verbal and written safety and quality instructions and read and comprehend written work instructions including words and drawings.
Education and/or Experience
B.S. or B.Eng. in scientific discipline (Engineering, Data Science, Computer Science, Chemometrics)
7 or more years of related experience, preferably in pharmaceutical or medical device - GMP experience required
Experience in manufacturing process improvement, electromechanical machine design or process systems design is preferred.
A preference for background/knowledge IT Applications (MES, ERP, Process Robotic Automation and Digitalization technologies, such as Digital Twin, Artificial Intelligence, Machine Learning, Augmented/Virtual Reality)
Preference for background/knowledge of use of SIMCA, SIMCA-Online software tools
Digitalization process qualification and troubleshooting experiences are desired.
Quality Engineering background (i.e. knowledge of quality systems, validation, etc.) will be given preference.
Solid Knowledge of engineering/statistical tools especially Design of Experiments, MVDA, Statistical Control, etc.
Programming experience with Python using advanced statistical methods (ML/AI) will also be given preference.
Good understanding of GxP, as well as Quality by Design (QbD) principles.
Excellent in writing and oral communication in English, adequate computer skills
Travel for assignments up to 30% of the time
Equal Employment Opportunity
Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.
EEO is the Law
EEO is the law - Poster Supplement
Pay Transparency Policy
Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information.