Data Analyst

MS CLINICAL RESEARCH; Bengaluru; On-site; INR 600,000 - 1,000,000; Full time

Job summary

MS CLINICAL RESEARCH is seeking a Data Analyst (Statistician) to support data validation, analysis, and reporting for clinical and preclinical studies. You will ensure data accuracy, resolve discrepancies, and generate insights to help researchers make informed decisions.

The ideal candidate has 2–4 years of experience in data management, proficiency with Excel and R, and a strong focus on quality control. Collaboration and meticulous documentation are essential in this role.

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 (e.g., Excel, R) and visualization software.
• Strong understanding of data cleaning, validation, and quality control practices.
• Excellent communication, documentation, and team collaboration skills.

Responsibilities

• Data collection & validation with protocol alignment.
• Data processing & analysis using statistical methods.
• Reporting & documentation of data-related processes and results.

Skills

Data analysis

Data cleaning

Documentation

Team collaboration

Communication

Education

Bachelor's or Master's degree in Data Science or Statistics

Tools

Excel

R

Visualization software

Job description

Job Title: Data Analyst (Statistician)

Location: Indiranagar, Bangalore

Job Type: Full-time

Experience: 2-4 years

Job Overview

We are looking for a skilled Data Management Specialist to support data validation, analysis, and reporting for clinical and preclinical studies. The role involves ensuring data accuracy, resolving discrepancies, and generating insights to support research objectives. Ideal candidates will be detail-oriented, collaborative, and experienced in data handling and compliance.

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.