Associate Scientist, Predictive Model Strategic Initiative
By AstraZeneca At Gaithersburg, MD, United States
Bachelor’s Degree with 0-3 years of experience
Experience with developing and testing IO agents and combinations in ex vivo 3D platforms.
Strong cell biology experience in sterile cell culture techniques such as isolation and culture of primary cells in microfluidic devices.
Great teammate who is well organized with strong interpersonal skills and excellent oral and written communication skills.
Experience working with primary tissue samples and ascites from cancer patients; experience in patient-derived organotypic tumor systems.
Competitive Remuneration And Benefits Apply

Are you an experienced Predictive Maintenance Supervisor looking for a new challenge? We are looking for a motivated individual to join our team and lead our predictive maintenance program. You will be responsible for developing and implementing strategies to ensure the highest level of reliability and performance of our equipment. If you have a passion for problem solving and a drive to make a difference, this could be the perfect opportunity for you!

Overview The Predictive Maintenance Supervisor is responsible for overseeing the predictive maintenance program for a company. This includes developing and implementing strategies to identify and address potential maintenance issues before they become costly problems. The supervisor will also be responsible for training and supervising maintenance staff, monitoring maintenance activities, and ensuring that all maintenance activities are performed in a safe and efficient manner. Detailed Job Description The Predictive Maintenance Supervisor will be responsible for developing and implementing a predictive maintenance program for the company. This includes developing and implementing strategies to identify and address potential maintenance issues before they become costly problems. The supervisor will also be responsible for training and supervising maintenance staff, monitoring maintenance activities, and ensuring that all maintenance activities are performed in a safe and efficient manner. The supervisor will also be responsible for developing and maintaining maintenance records, as well as developing and implementing preventative maintenance plans. Job Skills Required
• Knowledge of predictive maintenance techniques and strategies
• Knowledge of maintenance and repair processes
• Knowledge of safety regulations and procedures
• Ability to read and interpret technical documents
• Ability to troubleshoot and diagnose maintenance problems
• Ability to work independently and as part of a team
• Excellent communication and organizational skills
• Ability to manage multiple tasks and prioritize workload
Job Qualifications
• Bachelor’s degree in engineering, maintenance, or a related field
• 5+ years of experience in predictive maintenance
• Certification in predictive maintenance (preferred)
• Knowledge of computerized maintenance management systems (CMMS)
• Knowledge of industrial safety regulations
Job Knowledge
• Knowledge of predictive maintenance techniques and strategies
• Knowledge of maintenance and repair processes
• Knowledge of safety regulations and procedures
• Knowledge of computerized maintenance management systems (CMMS)
• Knowledge of industrial safety regulations
Job Experience
• 5+ years of experience in predictive maintenance
• Experience in training and supervising maintenance staff
• Experience in developing and implementing preventative maintenance plans
• Experience in developing and maintaining maintenance records
Job Responsibilities
• Develop and implement a predictive maintenance program for the company
• Train and supervise maintenance staff
• Monitor maintenance activities and ensure that all activities are performed in a safe and efficient manner
• Develop and maintain maintenance records
• Develop and implement preventative maintenance plans
• Troubleshoot and diagnose maintenance problems
• Read and interpret technical documents
• Manage multiple tasks and prioritize workload