Pharmacology Data Extraction Specialist

Why This Role Matters

The Pharmacology Data Extraction Specialist role at Innodata represents a growing intersection between pharmacology and artificial intelligence-driven healthcare systems. As medical databases and AI healthcare models expand, the demand for structured, high-quality pharmacological data has increased significantly.
This role transforms scientific literature into structured, machine-readable datasets that support biomedical research, AI model training, and global healthcare data systems. For M.Pharm (Pharmacology) graduates, it offers an opportunity to apply core pharmacological knowledge in a digital, research-focused environment while working remotely.
If you are detail-oriented, academically strong in pharmacology, and interested in research analytics or AI-driven healthcare systems, this position provides a strong foundation for long-term career growth.

Job Description

The Pharmacology Data Extraction Specialist will review peer-reviewed pharmacology research articles and clinical publications to extract, categorize, and structure key pharmacological information. The role requires accurate interpretation of scientific data, adherence to internal guidelines, and maintaining high standards of medical terminology precision.
This is a full-time remote position designed for freshers and early-career professionals with strong pharmacological knowledge.

Key Features of the Role:

• Work-from-home opportunity
• Ideal for M.Pharm (Pharmacology) graduates
• Exposure to global pharmacology research data
• Involvement in AI-driven healthcare data systems
• Entry pathway into medical writing and clinical data management

Responsibilities

• Review peer-reviewed pharmacology research papers and clinical publications
• Extract key pharmacological data including drug names, mechanism of action (MOA), pharmacokinetics (PK) parameters, and adverse effects
• Structure and categorize extracted data accurately into defined templates
• Ensure compliance with internal quality and data-tagging guidelines
• Maintain high precision and consistency in medical terminology
• Cross-check extracted data for completeness and scientific accuracy
• Collaborate with internal quality review teams for validation processes
• Maintain confidentiality and integrity of scientific content

Required Qualifications

Candidates must meet the academic and skill-based requirements below.

Educational Requirements:

• M.Pharm in Pharmacology (Mandatory)
Freshers with a strong academic foundation in pharmacology are encouraged to apply.

Experience and Skills:

• Strong understanding of pharmacodynamics and pharmacokinetics
• Knowledge of drug mechanisms and adverse drug reactions
• Ability to interpret clinical research articles and scientific publications
• High attention to detail and analytical thinking
• Strong documentation and data organization skills
• Basic computer proficiency and familiarity with MS Office tools
• Ability to work independently in a remote setup

Salary Insights

• Estimated Salary: ₹30,000 – ₹35,000 per month
• Compensation may vary based on skill assessment and performance

Company Overview

Innodata is a global data engineering company that provides AI-enabled data services to organizations across healthcare, publishing, legal, and technology sectors. The company specializes in structured data creation, annotation, and digital content transformation to support advanced AI systems.
By combining subject matter expertise with data science processes, Innodata contributes to building reliable AI training datasets and biomedical knowledge platforms.

FAQs

1. Is this a remote job?
Yes, this is a full-time work-from-home position.

2. Is M.Pharm mandatory?
Yes, M.Pharm in Pharmacology is mandatory.

3. Are freshers eligible?
Yes, freshers with strong academic backgrounds are encouraged to apply.

4. What type of work will I perform daily?
You will review research articles and extract structured pharmacological data.

5. What is the salary range?
The estimated salary is ₹30,000 – ₹35,000 per month.

Application Tips

• Highlight pharmacology subjects and dissertation topics in your resume
• Mention experience in reviewing research papers or thesis work
• Emphasize knowledge of PK, PD, MOA, and ADR concepts
• Showcase attention to detail and documentation skills
• Demonstrate readiness for independent remote work