Specialist, Manufacturing Automation

Responsibilities:

• Develop and/or modify process models for Drug Substance, Drug Product and Packaging operations using discrete event simulation
• Provide technical support for process optimization analysis, such as debottlenecking, capacity analyses, and what if analysis for manufacturing operations
• Assist technical OOPT members with data analysis for manufacturing system integrations and the debugging/testing of data interfaces using SQL.
• Provide customer support for the RTMS platform. This includes troubleshooting, escalating, and resolving issues reported by the users at the different sites
• Use of agile tools (e.g. Jira, Confluence) and methodologies (e.g. sprints) to deliver defined product increments
• Delivery in accordance with defined scope/time/acceptance criteria

Required Education and Experience:

• B.S. in Science/Engineering or equivalent technical field with 5-7 years of relevant experience.
• Demonstrated experience in mathematical modeling and at least one programming/scripting language (e.g. C/C++, Matlab, Python, R, C#, Java).
• Ability to communicate effectively with both technical and non-technical personnel to achieve the desired outcomes
• Excellent, proactive written communication, coupled with the ability to divide assigned tasks into smaller increments to leverage the timezone differences across the team. For example, the ability to receive written feedback on a task from a colleague/customer working overnight, and then work independently to address the feedback and reply in writing so that the colleague/customer can review the completed task when their work hours resume.
• Strong analytical problem-solving skills and ability to work independently within the role s defined responsibilities. For example, although these roles work in collaboration with other technical team members, success will require the ability to proactively and independently overcome obstacles. Successful candidates should be prepared to apply their full expertise to situations and take appropriate initiative to solve problems.
• Ability to work both independently and collaboratively with a globally dispersed team
• Practice in Agile Methodology and Continuous Improvement and with a Digital & Innovative mindset
• Expertise in authoring and executing technical documentation following industry standards and methodologies (SDLC, AGILE)
• Excellent communication and problem-solving skills with a sense of ownership, enthusiasm, and innovation

Preferred Experience and Skills:

• Process Manufacturing expertise, preferably in the pharmaceutical industry
• Prior experience as an industrial engineer or simulation developer, for example with a design engineering and/or A&E firm using discrete event simulation in the pharma industry is strongly preferred; prior experience as an automation/controls developer in pharma or an adjacent process industry is an advantage
• Familiarity with manufacturing scheduling, discrete event simulation, finite state machines, and associated algorithms
• Experience using SQL to query and analyze datasets, including metrics/KPI calculation
• Knowledge of manufacturing systems such as PAS-X MES, Aveva PI, etc.