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Data Integration Specialist
2 months ago
Innova Solutions is seeking a highly skilled Data Integrator to join our team. As a Data Integrator, you will play a critical role in collecting and curating data for use in predictive models across various use cases, focusing on accelerating process development.
Responsibilities:- Collect and curate data from multiple sources, including electronic notebooks, spreadsheets, slide decks, and instrument files.
- Ensure data quality, consistency, and completeness across different data sets.
- Apply data standards, ontologies, and metadata to facilitate data integration and analysis.
- Support data discovery, access, and sharing across the organization.
- Collaborate with scientists and engineers to identify data sources and locations, understand data requirements and challenges, and provide data solutions.
- Communicate and translate between life science experts and data engineers.
- Bachelor's degree or higher in a relevant field, such as chemical engineering, life sciences, data science, or computer science.
- At least 2 years of experience in process development or data analysis in the pharmaceutical industry or a related domain.
- Familiarity with data standards, ontologies, and metadata for pharmaceutical process development data.
Innova Solutions is a global leader in technology and business transformation solutions, employing approximately 50,000 professionals worldwide. We deliver strategic solutions to our clients, enabling them to operate as leaders within their fields.
We are an Equal Opportunity Employer and prohibit any kind of unlawful discrimination and harassment. We are committed to providing a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where we operate.
