Oracle PL/SQL Lead

Job Location Rahway, NJ Remote ok (Yes / No) Y Project Duration 6+Months Project Start date Asap Mode (TP/FTE) TP No of positions 1 Job Title Oracle PL/SQL Lead Client Interview Needed for Selection (Yes / No) Y Job Description
• BS in chemistry / computer science, experience with oracle PL/SQL, chemical registration applications.

• Extensive experience with BIOVIA 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.

• ssist in Internal and External users on requirements, chemical & biological record registration processes.

• Design, implement, and maintain complex workflows in BIOVIA 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).

• utomate 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.