Data Analyst

MS Clinical Research; Karnataka; On-site; INR 900,000 - 1,500,000; Full time

Job summary

MS Clinical Research in Karnataka, India seeks a Data Management Specialist to support data validation, processing, and reporting across clinical and preclinical studies. You will ensure data accuracy, resolve discrepancies, and generate actionable insights to advance research objectives.

The role requires 4+ years in data management, strong skills in Excel, R or Python, and a collaborative, detail-oriented mindset with excellent documentation abilities.

Qualifications

• Bachelor’s or Master’s degree in Life Sciences, Data Science, Statistics, or related field.
• Minimum 4 years of experience in data management, preferably in clinical or preclinical research.
• Proficiency in data analysis tools (e.g., Excel, R, Python) and visualization software.
• Strong understanding of data cleaning, validation, and quality control practices.
• Excellent communication, documentation, and team collaboration skills.

Responsibilities

• Data Collection & Validation: validate data, 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 documentation for data-related processes and validation steps; generate data reports and visualizations using Excel/PowerPoint/Word.

Skills

Excel

R

Python

Data visualization

Education

Bachelor’s or Master’s degree in Life Sciences, Data Science, Statistics, or related field

Tools

Excel

PowerPoint

Word

R

Python

Job description

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 Life Sciences, Data Science, Statistics, or related field.
• Minimum 4 years of experience in data management, preferably in clinical or preclinical research.
• Proficiency in data analysis tools (e.g., Excel, R, Python) 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.

Required Skills

Accountability Collaboration Ethical Conduct Time Management Adaptability