Top Tech Jobs & Startup Jobs

The Sr Engineer will lead process optimization strategies, troubleshooting, and major system modifications in a manufacturing environment. Responsibilities include supervising a small team, developing engineering policies, executing corrective actions (CAPAs), and providing training on technical operations. Engaging in risk assessments and continuous improvement initiatives is also crucial.

The Sr Engineer will oversee process optimization, troubleshoot operational issues, and implement engineering principles in manufacturing and capital projects. Responsibilities include supervising staff, coordinating with multiple departments, developing engineering policies, and crafting technical solutions for complex problems.

The Process Development Scientist is responsible for designing and executing scientific experiments, ensuring compliance with protocols, analyzing data, developing novel protocols, and authoring scientific reports and regulatory documents.

The CSV Specialist will develop and execute computer system validation deliverables, ensuring compliance with regulations while interacting with IT, Manufacturing, and Quality departments. This role emphasizes customer focus and independent work.

The Sr. Validation Scientist role involves providing technical validation engineering support for process and equipment modifications in manufacturing and laboratory environments. Responsibilities include troubleshooting validation issues, developing engineering policies, supervising staff, and applying advanced validation techniques to improve systems and processes.

The Engineer/Specialist will provide consulting services within the life sciences sector, focusing on areas such as validation, reliability, change control, and quality risk assessment. Responsibilities include troubleshooting and improving engineering processes in pharmaceutical and biotech manufacturing environments, as well as documentation development for validation activities.

The Sr Data Scientist will lead advanced analytics projects in collaboration with business partners to develop analytical models that solve business problems. The role requires innovation in using data science techniques and presenting insights clearly to drive business impact across operations.