Associate Engineer, Drug Product Manufacturing Data Analysis – REMOTE (JP15113)
About the position
Remote but preferably someone who is located near Thousand Oaks or Cambridge sites for occasional onsite Dayshift 8AM - 5PM. Our ideal candidate will have some industry experience through internship or research projects with bachelors degree, Educational background in engineering, data sciences, biology, chemistry, or related discipline. Drug product experience in Fill finish or inspection. Experience with Excel, statistical process control, Spotfire or Tableau Why is the Position Open? Supplement additional workload on team.
Responsibilities
• Implementation/enhancement of digital systems and automated analysis/visualization tools (Spotfire) that are utilized for streamlining data management and data monitoring
• Data extraction, verification, analysis, and technical reports for process monitoring
• Supporting investigations of adverse signals identified through process data monitoring
• Integration of new products and processes to data monitoring business process and quality management system
• Support for other ad hoc studies and projects as applicable (e.g. technology transfers of processes to new sites
Requirements
• Ideal candidate: some industry experience through internship or research projects with bachelors degree
• Educational background in engineering, data sciences, biology, chemistry, or related discipline.
• Drug product experience in Fill finish or inspection.
• Experience with Excel, statistical process control, Spotfire or Tableau
• Educational background in engineering, biology, chemistry, or related discipline
• Manufacturing experience; strongly preferable for this experience to be in drug product/ pharmaceutical field
• Manufacturing experience in other fields also may be considered, depending on relevance of skills involved and transferability/applicability to this position
• Experience with data entry, verification, analysis, and/or data management IS systems
• Bachelor degree OR Associate degree and 4 years of experience OR High school diploma / GED and 6 years of experience
Apply tot his job
Apply To this Job
Remote but preferably someone who is located near Thousand Oaks or Cambridge sites for occasional onsite Dayshift 8AM - 5PM. Our ideal candidate will have some industry experience through internship or research projects with bachelors degree, Educational background in engineering, data sciences, biology, chemistry, or related discipline. Drug product experience in Fill finish or inspection. Experience with Excel, statistical process control, Spotfire or Tableau Why is the Position Open? Supplement additional workload on team.
Responsibilities
• Implementation/enhancement of digital systems and automated analysis/visualization tools (Spotfire) that are utilized for streamlining data management and data monitoring
• Data extraction, verification, analysis, and technical reports for process monitoring
• Supporting investigations of adverse signals identified through process data monitoring
• Integration of new products and processes to data monitoring business process and quality management system
• Support for other ad hoc studies and projects as applicable (e.g. technology transfers of processes to new sites
Requirements
• Ideal candidate: some industry experience through internship or research projects with bachelors degree
• Educational background in engineering, data sciences, biology, chemistry, or related discipline.
• Drug product experience in Fill finish or inspection.
• Experience with Excel, statistical process control, Spotfire or Tableau
• Educational background in engineering, biology, chemistry, or related discipline
• Manufacturing experience; strongly preferable for this experience to be in drug product/ pharmaceutical field
• Manufacturing experience in other fields also may be considered, depending on relevance of skills involved and transferability/applicability to this position
• Experience with data entry, verification, analysis, and/or data management IS systems
• Bachelor degree OR Associate degree and 4 years of experience OR High school diploma / GED and 6 years of experience
Apply tot his job
Apply To this Job