PHARMAFull-time
Data Management Associate II
BANGALORE (IN)ONSITEPOSTED: 9/18/2026
PHARMAFull-time
HIRING ORGANIZATIONLABCORPBiosciences / Healthcare

ROLE OVERVIEW
Support end-to-end dataset preparation and data management activities for complex studies, ensuring accurate, compliant and timely deliverables. The role combines dataset generation and QC, client communication, software validation support, workload management and emerging leadership responsibilities.
ROLE DEFINITION & RESPONSIBILITIES
- •Review study documents such as protocols and reports to gather information for dataset preparation
- •Generate and quality-check dataset files for regulatory compliance
- •Address client inquiries regarding study dataset content
- •Compile metadata for databases supporting nonclinical safety assessment when required
- •Write and execute software validation test scripts and maintain lifecycle documentation
- •Train and mentor new data associate team members
- •Manage complex study workloads and schedules to meet client deliverables
- •Participate in peer reviews, presentations, process improvement initiatives and cross-site collaboration
Reporting Hierarchy: Reports to the relevant Data Management Solutions leadership; collaborates with data associates, senior data management staff, study directors, QA associates, clients and cross-site teams
* Role responsibilities and qualifications synthesized based on industry benchmark standards.
QUALIFICATIONS & REQUIREMENTS
REQUIRED QUALIFICATIONS
- Bachelor's degree in Life Science
- Ability to perform dataset preparation and quality checking with limited supervision
- Ability to manage study workloads and meet dataset preparation schedules
- Basic knowledge or experience with programming applications or formulas such as SAS, R or Python, or willingness to learn within one year
PREFERRED QUALIFICATIONS
- •2+ years of experience working with SEND or HCD datasets
- •2+ years of experience with scientific and medical terminology
- •Experience with software testing and validation
- •Experience with client-facing communication or data management activities
REQUIRED VERIFIED SKILLS
Dataset preparation
dataset QC
SEND
HCD
scientific terminology
medical terminology
SAS
R
Python
software validation
test scripts
Systems Life Cycle methodology
regulatory compliance
metadata
data management
COMPENSATION & REWARDS
Salary: Competitive / Disclosed upon candidate shortlisting
Benefits: Health insurance, provident fund, paid leave and other standard employee benefits; exact benefits may vary by location and employment terms
The source does not disclose salary or bonus/equity information. Compensation should be confirmed directly with Labcorp during recruitment.
ORGANIZATION CONTEXT & CULTURE
Labcorp is a global life sciences company providing laboratory, diagnostics and drug development services. It uses science, data, technology and a global laboratory network to support healthcare providers, pharmaceutical companies, researchers and patients.
TEAM SIZE: Nearly 70,000 employees
INDUSTRY: Biosciences / Healthcare
Culture: The role emphasizes scientific rigor, data quality, regulatory compliance, collaboration, continuous improvement and meaningful contributions to healthcare and life sciences.
EXPECTED CAREER ROADMAP
Potential progression can include senior data management, data management solutions leadership, specialized dataset or standards roles, quality and validation responsibilities, or broader clinical/nonclinical data management positions depending on experience and organizational opportunities.
APPLICATION ADVISORY
Highlight your Life Science degree and any SEND/HCD dataset experience; emphasize dataset preparation, QC and regulatory documentation; mention hands-on SAS, R or Python exposure if available; demonstrate experience handling complex workloads and deadlines; include examples of client communication, validation testing, peer review, mentoring or process improvement.
RECOMMENDED TRAINING
1/5
READY TO SUBMIT?
Verify your capability profile and matching credentials before submitting direct applications.
