Oracle PL/SQL Lead

1 week ago

Rahway, United States Omni Inclusive Full time
  • BS in chemistry / computer science, experience with oracle PL/SQL, chemical registration applications.
  • Extensive experience with Pipeline Pilot in the development of data workflows, ideally in a scientific or research environment.
  • Experience with scripting and programming languages, including database, JavaScript for automating and customizing workflows.
  • Knowledge of databases, data integration techniques, and data management practices.
  • Familiar with scientific data formats (e.g., CSV, XML, JSON, SD files, etc.).
  • Prepare, review, and submit registration records for small and large molecules.
  • Maintain up-to-date knowledge of relevant requirements and guidelines associated with chemical registration.
  • Collaborate with cross-functional teams to gather necessary information and ensure completeness of submission documents.
  • Evaluate the impact of regulatory changes on existing registrations and recommend necessary actions.
  • Develop and maintain standard operating procedures (SOPs) for chemical registration processes.
  • Monitor and track the status of submitted registrations and communicate updates to stakeholders.
  • Maintain and update internal databases and tracking systems for monitoring the status of submitted applications.
  • Participate in the development and implementation of standard operating procedures (SOPs) related to chemical registration and compliance.
  • Assist in Internal and External users on requirements, chemical & biological record registration processes.
  • Design, implement, and maintain complex workflows in Pipeline Pilot to integrate and analyze diverse datasets from various scientific disciplines (e.g., chemistry, biology, materials science).
  • Develop and maintain tools for data import/export, transformation, analysis, and visualization from internal and external data sources (e.g., lab instruments, databases, external APIs).
  • Automate repetitive tasks, reduce manual data handling, and optimize workflows for improved performance and efficiency.
  • Collaborate with scientists, business users, to understand their data needs and translate those into practical and efficient workflow.
  • Provide clear documentation for developed workflows and systems, ensuring that they can be easily maintained, updated, and used by other team members.

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