The Person navigates electronic medical record systems and other medical databases. This role involves reviewing clinical trial data for consistency, completeness, and compliance with study protocols and regulatory requirements. reviews medical records, and abstracts medical record data related to specified disease and project requirements.

Essential Job Functions:

• Screen patient cases for eligibility across multiple oncology clinical trials, applying trial-specific inclusion/exclusion criteria.
• Interpret diagnostic, pathology, imaging, and other clinical reports to extract accurate, trial-relevant information per SOPs.
• Abstract and categorize clinical data (e.g., adverse events, hospitalizations, medications) and enter it into designated electronic systems with high accuracy.
• Serve as an oncology subject-matter expert across solid and hematologic malignancies; maintain up-to-date knowledge of cancer trial designs and requirements.
• Apply critical thinking to understand complex clinical concepts and make sound, documented abstraction decisions.
• Build and maintain data libraries; coordinate with cross-functional teams to address project-specific needs.
• Review project documentation to align with goals, timelines, and abstraction workflows; leverage approved resources to onboard quickly to new projects.
• Share medical and procedural knowledge with peers; provide guidance to Data Abstractors as needed.
• Respond promptly to queries from Leads/Operations and collaborate to resolve data issues.
• Perform additional tasks as assigned, including preliminary eligibility reviews and second-level/QC reviews of medical records.

Qualification:

• 6 months+ of experience in clinical data abstraction or patient treatment–related data work.
• Strong clinical knowledge of chronic disease states and medical terminology.
• Oncology knowledge across the care continuum (diagnosis through follow-up), with deep familiarity with both solid and liquid tumors.
• Experience reviewing medical data for clinical research, especially oncology trials.
• Certification in Clinical Research or Clinical Data Management preferred

Education:

B.Sc (Nursing), BDS, BAMS, BHMS, MDS, BPharm, MPharm

Skills and Abilities:

• Excellent written and verbal communication skills; able to collaborate with internal and external stakeholders in a fast-paced environment.
• Sound judgment in abstracting medical data, with the ability to work independently and to escalate or seek input when appropriate.
• High adaptability to changing assignments, project requirements, training schedules, and occasionally suboptimal tools or databases.
• Proficient with Microsoft Office (Word, Excel, Outlook, PowerPoint); able to create, maintain, and share professional documents and reports.

Perks & Benefits:

• Unlimited Leave Policy – take time off when you need it. We believe in trust, not tracking.
• Lunch Provided at the Office – one less daily decision, one happier employee.
• Flexible Working Hours – we care about output, not clock-ins.
• Health Insurance – comprehensive coverage for you and your family.
• Zomato Meal Benefit – breakfast and dinner can be ordered when you come in early or leave late, because effort deserves fuel.

Why Join us ?

1. We are revolutionizing a unique industry that has the potential to impact and benefit patients

from all over the world - you can create impact at scale.

2. We have had company - sponsored workations in Bali, Sri Lanka, and Manali and take pride in our hard-working yet super fun culture .

3. We are working on a few of the most challenging problems in a highly regulated industry which provides you an opportunity to solve some of the most interesting things.

4. You will get a chance to work with experts from multiple industries and the best in the industry Compensation.

Please Brush your knowledge/Skills on below areas and also Glance through your resume for the discussions:

• Previous role/s and experience/s
• What is cancer and types of cancer?
• Histological classification of solid tumors - Mainly breast, lung, GI, GU and Gynecological cancers.
• Discussion on liquid tumors - Types, staging, diagnosis and brief on treatment.
• Biomarkers/tumor markers.
• TNM classification.
• Difference between solid and liquid cancers.
• Types of cancer therapy in detail.
• Mechanism of action of chemotherapy.