Function Specific

• Build, update and maintain data loaders to support data integration. Deploy loaders to production and monitor loader performance to ensure stable and accurate data delivery.
• Resolve issues through a structured ticketing system and collaborate on root cause analysis.
• Provides technical expertise in developing solutions to data issues by leveraging data manipulation techniques and root cause analysis.
• Protocol health monitoring: Identify/fix recurring issues and implement scalable, long-term solutions.
• Perform unit testing and support User Acceptance Testing through test transmission verification with the Data Management team.
• Follow coding standards, take part in peer code reviews, and ensure quality and maintainability of code.
• Support automation efforts and process improvement initiatives (track/document) in collaboration with technical/ data management teams.
• Communicate and collaborate with stakeholders to analyze information needs and functional requirements for effective delivery of the data.
• Demonstrate the ability to multi-task and manage the issues related to data, analyze, modify, and improve the process to ensure it best serves the interest of the organization.
• Participate in cross-functional discussions to understand requirements and deliver effective loader solutions.
• Complete mandatory Quality Assurance training sessions.
• Attend mandatory team and cross functional meetings.
• Participate in job shadowing or interdepartmental developmental opportunities.
• Participate in ongoing training initiatives regarding process and system changes or updates.
• Complete advanced training for continuing development.
• Utilize strong working knowledge of SOPs, validation standards, and work procedures to suggest potential improvements and to provide training and guidance to all staff.
• Additional work as assigned by the Management.

Customer Facing

• There are no customers facing job functions in this position.

Metrics

• Support management of metrics.
• Assist with investigating or resolving issues of quality as directed.

Staff and Financial Management

• Understand implications of activities to project budgets.

Process Improvement

• Suggest process improvements where issues are seen.
• Support Six Sigma process improvement teams.

Training / SOPs

• Mentor and support other SDS employees in their understanding and adoption to process
• Active member of SOP review teams as assigned.

Other

• Lead or assist with special projects as designated.
• Perform other duties as assigned by management.

Minimum Education and Experience Required:

• University/College Bachelor’s Degree preferably in Computer Science/Information Science or related field
• Minimum 6 months to 1 years’ experience in data engineering /development position or equivalent work experience in related industry.

Preferred Qualifications:

• Good understanding of MySQL, Python with experience or exposure to Ruby on Rails for scripting.
• Familiarity with data warehousing concepts and best practices in data engineering
• Strong problem-solving mindset and attention to code quality.
• Willingness to learn and work in a cross-functional environment.
• Comfortable working in a version controlled, collaborative development setting (e.g. Git, Agile)
• Exposure/experience with 21 CFR Part 11 in a pharmaceutical, biotechnology, CRO or related industry.
• Self-motivated, able to work with minimal oversight
• Strong communication and interpersonal skills.
• Strong MS/Office skills with Excel and Word.
• Understanding database query tools, such as DB Forge or Navicat, is an advantage.
• Experience in AWS Products is preferred.

Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

We encourage all to apply

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