Data Analyst

MS Clinical Research; Bengaluru; On-site; INR 600,000 - 1,000,000; Full time

Job summary

MS Clinical Research is seeking a detail-oriented data professional to validate, clean, and process data for clinical research projects. The role emphasizes ensuring data integrity and alignment with study protocols through rigorous validation and cleaning steps, followed by analysis and clear reporting.

The candidate should have a strong background in data science or statistics, with practical experience in Excel and R, and a proven ability to document workflows and collaborate with

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, or related field.
• Minimum 2 years of experience in data management, preferably in clinical or preclinical research.
• Proficiency in data analysis tools and visualization software.
• Strong data cleaning, validation, and quality control practices.
• Excellent communication, documentation, and teamwork skills.

Responsibilities

• Data Collection & Validation: Conduct data validation to identify missing values, inconsistencies, anomalies, and outliers using statistical techniques and automated tools.
• Data Processing & Analysis: Use statistical and analytical software for exploratory data analysis, statistical modeling, and trend identification.
• Reporting & Documentation: Maintain proper documentation for all data-related processes and generate data reports and visualizations using Excel, PowerPoint, and Word.

Skills

Data analysis

Data visualization

Data cleaning

Documentation

Team collaboration

Education

Bachelor's or Master's in Data Science / Statistics / related field

Tools

Excel

R

Power BI

Job description

Key Responsibilities:

1. Data Collection & Validation

• Conduct data validation to identify missing values, inconsistencies, anomalies, and outliers using statistical techniques and automated tools.
• Implement data cleaning procedures to ensure all data aligns with protocol specifications before processing.

2. Data Processing & Analysis

• Use statistical and analytical software for exploratory data analysis, statistical modeling, and trend identification.
• Stay updated on best practices, technologies, and advanced methodologies to enhance analysis and visualization.

3. Reporting & Documentation

• Maintain proper documentation for all data-related processes and validation steps.
• Generate data reports and visualizations using tools such as Microsoft Excel, PowerPoint, and Word.

Qualifications & Skills:

• Bachelor's or Master’s degree in Data Science, Statistics, or related field.
• Minimum 2 years of experience in data management, preferably in clinical or preclinical research.
• Proficiency in data analysis tools (e.g., Excel, R) and visualization software.
• Strong understanding of data cleaning, validation, and quality control practices.
• Excellent communication, documentation, and team collaboration skills.

Personal Attributes:

• Highly organized with the ability to manage multiple projects and deadlines.
• Ability to work independently and as part of a team in a fast-paced environment.