Associate Data Analyst
labcorp
About the role
Labcorp (Laboratory Corporation of America) is a global leader in clinical laboratory services, diagnostics, and data-driven healthcare solutions. With a presence in over 60 countries, Labcorp helps physicians, hospitals, and patients make better health decisions through advanced testing, data analytics, and innovative research. In India, Labcorp has been expanding its clinical research and data management capabilities, offering fresh talent a chance to work on realβworld clinical data that directly impacts patient outcomes.
The company prides itself on a culture of scientific rigor, collaboration, and continuous learning, making it an attractive destination for recent graduates eager to start a career in lifeβscience data analytics.
The Associate Data Analyst (ADA) role is an entryβlevel position that supports the Data Analyst team in handling data discrepancies between sponsors, CROs, investigators, and Labcorpβs internal databases. The ADA will act as a bridge between clients and internal stakeholders, ensuring that data revisions are performed accurately, timely, and in compliance with Good Clinical Practice (GCP) guidelines. This role offers exposure to endβtoβend data reconciliation processes, auditβready documentation, and crossβfunctional teamwork across global locations.
Key Responsibilities
- Communicate proactively with internal teams, clients, and crossβfunctional partners to resolve data discrepancies.
- Analyse simple to moderately complex data issues and update databases as per client requirements.
- Execute data revisions following established cleaning and revision SOPs.
- Assist Workflow Leads and Client Leads in planning and executing data reconciliation activities.
- Participate in mandatory Data Reconciliation Center (DRC) meetings and relevant training programs.
- Escalate unresolved issues to appropriate leads or management for timely closure.
- Maintain auditβready documentation and support quality investigations, CAIRs, and corrective actions.
- Contribute to continuousβimprovement initiatives aimed at enhancing productivity and customer experience.
- Provide administrative and technical support to internal departments as needed.
- Undertake special projects assigned by senior management.
Tech Stack & Tools: Microsoft Office (Word, Excel, Outlook), clinical data management systems, basic SQL for data extraction, GCP compliance knowledge, and internal Labcorp data platforms.
Growth Path: Starting as an Associate Data Analyst, high performers can progress to Data Analyst, Senior Data Analyst, and eventually to Data Management Lead or Project Manager roles, with opportunities to specialize in clinical data science, regulatory affairs, or product analytics.
Why Join Labcorp? You will work in a globally recognized healthcare organization, gain handsβon experience with real clinical data, receive structured training, and benefit from a collaborative culture that values innovation, workβlife balance, and career development.
Eligibility & process
Who can apply
Bachelorβs degree in Life Sciences, Biotechnology, Pharmacy, or related field; minimum 60% aggregate; no active backlogs; graduating batch 2023β2025; strong analytical mindset and good communication skills.
Skills & stack
Selection process
- Round 1: Online aptitude/technical assessment
- Round 2: Technical interview (data handling & scenario based)
- Round 3: HR interview (fit & cultural alignment)
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight labcorp's market reputation, recent tech innovations, and how your skills in Data Analysis directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.