Clinical Data Abstractor

Why This Role Matters
Clinical data plays a crucial role in improving patient care, supporting clinical research, and enabling healthcare organizations to make evidence-based decisions. Real World Evidence (RWE) has become an important component of modern healthcare analytics, as it uses real patient data from clinical settings to evaluate the effectiveness, safety, and outcomes of treatments.
The Clinical Data Abstractor role is essential in collecting and structuring healthcare data from medical records, ensuring that it can be analyzed accurately for research and clinical insights. By reviewing electronic medical records and extracting key patient information, professionals in this role help transform raw healthcare data into meaningful insights that support medical research and healthcare innovation.
At ConcertAI, Clinical Data Abstractors contribute to large-scale healthcare data projects that support pharmaceutical companies, research organizations, and healthcare providers in improving treatment outcomes and advancing medical knowledge.

Job Description
The Clinical Data Abstractor position focuses on extracting relevant clinical information from electronic medical records and entering it into structured data systems used for research and analytics. This role is ideal for graduates in life sciences or pharmacy who are interested in working with healthcare data, clinical research, or Real World Evidence programs.
Employees will review medical documentation, interpret clinical reports, and ensure that patient-related information is accurately recorded in electronic data platforms. The role requires attention to detail, familiarity with medical terminology, and the ability to interpret clinical documents such as pathology reports, diagnostic reports, and hospital records. The position offers valuable exposure to clinical data systems, healthcare datasets, and real-world clinical information, providing a strong foundation for future careers in clinical research, pharmacovigilance, or healthcare analytics.

Key Features of the Role
This role provides an opportunity to work with real-world healthcare datasets while gaining practical experience in clinical data interpretation and abstraction. Professionals in this position work closely with experienced data abstractors, project managers, and healthcare analysts to ensure accurate data collection and compliance with project standards.
The role also offers exposure to electronic medical record systems and clinical data platforms used in research and healthcare analytics. Candidates can develop strong analytical and documentation skills while learning industry standards for clinical data management and research support.

Responsibilities

• Access electronic medical record systems and extract clinical data accurately.
• Enter patient-specific information into designated electronic data platforms.
• Review project documentation and understand project objectives and requirements.
• Learn and follow abstraction workflows and project-specific data standards.
• Interpret diagnostic, pathology, laboratory, and specialty reports for data extraction.
• Understand inclusion and exclusion criteria used in clinical research projects.
• Extract and document information related to adverse events, hospitalizations, and medications.
• Review patient medical records for eligibility during project onboarding.
• Respond promptly to queries from Lead Data Abstractors or project managers.
• Participate in team meetings and contribute ideas or agenda points for improvement.
• Share medical and procedural knowledge with team members.
• Perform additional duties related to Real World Evidence data abstraction as required.

Required Qualifications

Educational Requirements

• Bachelor’s degree in Life Sciences
• Bachelor of Pharmacy (B.Pharm)
• Nursing or Biotechnology degree
• Any related healthcare or biomedical field

Experience and Skills

• 0 – 1 year of experience in healthcare, clinical research, or data abstraction.
• Freshers are eligible to apply.
• Strong understanding of medical terminology.
• Ability to interpret clinical documents and healthcare records.
• Basic knowledge of adverse event reporting and hospitalization details.
• Familiarity with diagnostic and pathology reports.
• Knowledge of EMR/EHR systems is an added advantage.
• Excellent attention to detail and data accuracy.
• Good analytical and problem-solving skills.
• Strong verbal and written communication skills.
• Ability to work effectively in a team-based environment.

Salary Insights
The salary offered for this role is competitive for entry-level clinical data positions and aligned with industry standards.
Estimated salary range:
• ₹3,00,000 – ₹3,50,000 LPA

Additional benefits may include:
• Exposure to global healthcare datasets and analytics platforms.
• Practical experience in Real World Evidence programs.
• Mentorship and training from experienced clinical data professionals.
• Career development opportunities in healthcare analytics and research.

Company Overview
ConcertAI is a leading healthcare technology and analytics company that focuses on generating Real World Evidence from healthcare data. The company works with life sciences organizations, healthcare providers, and research institutions to transform clinical data into insights that support better patient care and medical innovation.
ConcertAI leverages advanced data science, artificial intelligence, and healthcare analytics to help organizations understand treatment outcomes, patient journeys, and disease patterns. Through its innovative data platforms and research solutions, the company contributes to improved drug development, clinical research, and healthcare decision-making.

FAQs

1. Who can apply for this role?
Candidates with a bachelor’s degree in life sciences, pharmacy, nursing, biotechnology, or related healthcare fields can apply.

2. Are freshers eligible for this position?
Yes, fresh graduates with relevant educational backgrounds are eligible to apply.

3. Is experience with EMR or EHR systems required?
It is not mandatory, but familiarity with electronic medical record systems is considered an advantage.

4. What career growth opportunities are available?
Professionals can progress to roles such as Senior Data Abstractor, Clinical Data Analyst, or Real World Evidence Specialist.

Application Tips

• Highlight your knowledge of medical terminology and clinical documentation.
• Mention any academic projects, internships, or coursework related to healthcare data or clinical research.
• Demonstrate attention to detail and analytical thinking during interviews.
• Showcase your ability to interpret clinical reports and medical records.
• Emphasize strong communication skills and willingness to learn new healthcare data systems.