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REQUIREMENT_ID_1639 β€’ 3-DAY_ACTIVE_POLICY

Data Coordinator

Company
Company Medpace
Type
Opportunity Type Internship
Salary
Stipend / Salary 4.5 LPA
Location
Location Mumbai, Maharashtra, India
Posted Date
Posted Date Yesterday
Data Management Data Entry Microsoft Excel MS Office Attention to Detail Analytical Skills Communication Time Management Problem Solving
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Aptitude Practice Questions Open Resource β†—
Helps you prepare for the online test by covering quantitative, logical, and verbal sections relevant to data coordination roles.
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Company Interview Preparation Guide Open Resource β†—
Provides insights into typical interview questions and answer frameworks used by companies like Medpace for data‑focused positions.
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General Interview Preparation Resources Open Resource β†—
Offers comprehensive coverage of HR and technical interview topics, useful for the HR round and technical screening.
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Algorithm and Data Structure Practice Open Resource β†—
Strengthens problem‑solving abilities that can be tested in technical assessments, especially for data validation tasks.

Bachelor’s degree in any discipline (Science, Commerce, Arts); Minimum 60% aggregate; Graduating batch 2022‑2025; No active backlogs at the time of joining; Strong academic record preferred.

1
Round 1: Online Aptitude Test
2
Round 2: Technical Interview (focus on data handling and Excel)
3
Round 3: HR Interview
Medpace is a global, scientifically-driven clinical research organization that partners with pharmaceutical, biotechnology and medical device companies to accelerate the development of life‑saving therapies. With a presence in more than 30 countries, Medpace combines deep therapeutic expertise with a robust operational platform, delivering end‑to‑end clinical development services. In India, the company has built a strong reputation for fostering a collaborative environment where data integrity and regulatory compliance are paramount. The Mumbai office, strategically located in the financial hub of Maharashtra, serves as a critical node for managing clinical trial data across multiple therapeutic areas, ranging from oncology to cardiovascular research. The Data Coordinator role is an entry‑level position designed for recent graduates who are eager to start a career in clinical data management. As a Data Coordinator, you will act as the backbone of data operations, ensuring that all study data is captured accurately, validated against source documents, and maintained in compliance with Good Clinical Practice (GCP) guidelines. You will work closely with Clinical Research Associates, Project Managers, and Biostatisticians, gaining exposure to the full lifecycle of a clinical trial. Key Responsibilities: 1. Coordinate and maintain study data for assigned projects, ensuring timely updates in the electronic data capture (EDC) system. 2. Perform data review for accuracy, completeness, and consistency, flagging any discrepancies. 3. Support data entry, tracking, and documentation activities, adhering to SOPs. 4. Identify data queries and collaborate with site teams to resolve them efficiently. 5. Generate routine data management reports for internal stakeholders. 6. Maintain project records, audit trails, and documentation as per regulatory requirements. 7. Assist in preparing data listings and tables for interim and final analyses. 8. Participate in cross‑functional meetings to align data deliverables with project timelines. 9. Contribute to continuous improvement initiatives within the data management team. 10. Ensure compliance with Medscape’s data security and confidentiality policies. Tech Stack & Tools: Microsoft Excel, MS Office Suite, Electronic Data Capture (EDC) platforms such as Medidata Rave or Oracle Clinical, basic SQL querying, and data validation tools. Growth Path: Starting as a Data Coordinator, high performers can progress to Data Management Associate, Senior Data Manager, and eventually to Project Lead or Clinical Operations Manager, with opportunities to specialize in therapeutic domains or advanced analytics. Why Join Medpace? The company offers a vibrant learning environment, mentorship from seasoned clinical researchers, and exposure to global clinical trials. Employees benefit from structured training programs, a culture that values scientific rigor, and a balanced work‑life approach that encourages personal development alongside professional growth.

Medpace β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Medpace Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Medpace and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Data Management, Data Entry, Microsoft Excel, MS Office, Attention to Detail, Analytical Skills, Communication, Time Management, Problem Solving) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Medpace Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Medpace as a Data Coordinator?
Preparation Tip: Highlight Medpace's market reputation, recent tech innovations, and how your skills in Data Management directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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