Oracle PL/SQL Lead
Job in
Rahway, Union County, New Jersey, 07065, USA
Listing for:
TechDigital Group
Full Time
position
Listed on 2025-12-26
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 100000 USD Yearly
USD
60000.00
100000.00
YEAR
Job Description & How to Apply Below
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 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 and business users to understand their data needs and translate those into practical and efficient workflows.Provide clear documentation for developed workflows and systems, ensuring that they can be easily maintained, updated, and used by other team members.#J-18808-Ljbffr
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