Job Description

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives.

Labcorp is seeking a Associate Business Data Enablement Engineer to join the Data Program team at Brigade Twin Towers, Yeshwanthpur, Bangalore.

Work Schedule

Rotational Shift

5:30 am to 2:30 pm IST

2:00 pm to 11:00 pm IST

5-day working model

Job Responsibilities

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.

Data Operations & Data Integration Support

• Support the sourcing, collection, and integration of new and existing data required by the Business Data Technology & Insight team.
• Assist in maintaining core data pipelines and ETL workflows, including monitoring job status, identifying basic errors, and escalating issues.
• Perform routine checks to ensure data accuracy, completeness, and consistency across systems and repositories.
• Support the upkeep and organization of the team’s central data repository, including managing access requests and performing routine updates under guidance.

Data Quality & Data Stewardship

• Execute standard data quality checks, including validation, cleaning, normalization, and enrichment activities.
• Review data issues flagged through automated checks or stakeholder feedback, documenting findings and supporting in root‑cause analysis.
• Identify recurring or systemic data issues and provide clear documentation.
• Contribute to maintaining data quality logs, scorecards, or dashboards used for monitoring data health.

Reporting, Documentation & Governance

• Maintain up‑to‑date process documentation, including SOPs, work instructions, and data handling guidelines.
• Assist in documenting data requirements, data definitions, and mapping specifications.
• Support team adherence to Data Governance policies around data privacy, security, metadata, and usage.
• Help track compliance with defined data quality or operational criteria.

Stakeholder Support & Cross‑Functional Collaboration

• Provide routine support to internal stakeholders.
• Collaborate with Data Insight, Data Governance, IT and business departments.
• Participate in meetings to capture business requirements related to data delivery and relay them to senior analysts for further action.
• Maintain effective communication channels with IT colleagues and business users to ensure clarity around data processes and expectations.

Continuous Improvement & Technical Development

• Contribute to the identification of process improvements, automation opportunities, or simplifications within data activities.
• Assist in testing enhancements to data pipelines and data quality rules.
• Stay current on new data tools, technologies, and methodologies.
• Participate in training, workshops, and job‑shadowing opportunities aimed at strengthening technical.

Business-As-Usual (BAU) Data Activities

• Perform routine operational tasks such as data extracts, validation runs, maintenance of master data, and updating regular reports.
• Support incident resolution processes to help ensure continuity of data flows and minimize disruptions.
• Monitor scheduled jobs and perform basic first‑line troubleshooting or alerting when issues arise.

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 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 Qualifications

• Bachelors Degree in Technology
• Current or Prior Labcorp Intern experience.

Preferred Qualifications

• Master’s degree in Biotechnology
• 6 months or more years of experience in data engineering /development position

Additional Job Standards

• 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.

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