Quality Analyst – Medical Scribing & Transcription
About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets-to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
Role Overview
We are seeking an analytical, precise, and highly articulate Lead Quality Analyst (Medical Scribing & Transcription) with 5-8 years of experience to spearhead the quality framework for our healthcare data operations. In this role, you will be the ultimate gatekeeper of quality, bridging the gap between AI-generated outputs and human clinical precision.
You will be responsible for executing advanced audits across two distinct workflows (AI-assisted Medical Scribing and Verbatim Medical Transcription etc), interpreting complex data evaluation matrics (Precision, Recall, F1-Score), communicating directly with clients, and driving the production team toward zero-defect delivery through rigorous feedback.
Key Responsibilities
1. Advanced Quality Auditing & Governance
- Scribing Audits: Critically evaluate AI-generated clinical summaries against audios. Verify that all complex diagnostic data, treatment plans, and clinical nuances are perfectly captured, and that the final output meets strict professional medical documentation standards.
- Transcription Audits: Perform precise quality checks on verbatim transcripts to ensure strict compliance with formatting guidelines:
- Validation of audio segmentation boundaries
- Verification of exact speaker attribution (Diarization).
- Verification of context-driven punctuation rules.
- Performance Driving: Transform audit data into targeted coaching, error-analysis reports, and feedback loops that actively drive the production team to improve throughput and accuracy.
2. Metrics Analytics & Insight Generation
- Data Interpretation: Master and utilize data science metrics including Precision, Recall, and F1-Scores to evaluate both human and AI performance.
- Root Cause Analysis (RCA): Deep-dive into quality dips, identify systematic errors (e.g., misdiagnoses vs. segmentation errors), and execute targeted corrective action plans.
- Performance Reporting: Compile, analyze, and present weekly/monthly quality dashboards and throughput reports for senior management.
- Client Communication: Act as the primary technical point of contact for the client regarding quality metrics. Lead calibration calls, interpret client feedback, and align auditing standards with client expectations.
- Guideline Calibrations: Proactively identify ambiguities in client transcription/scribing guidelines, seek clarification, and standardize internal calibration manuals for the team.
Required Skills & Technical Expertise
- Clinical Accuracy: Exceptional medical terminology knowledge across multiple specialties (Pharmacology, Anatomy, Lab values, and Chronic disease management).
- Analytical Mindset: Expert understanding of data evaluation frameworks. Ability to interpret how a drop in Recallaffects clinical completeness versus how a drop in Precision affects noise in data.
- Acoustic & Language Skills: High proficiency in understanding diverse global accents (particularly US/UK English) and excellent command over formal, written English grammar.
- Quality Mentorship: Strong capability to deliver firm, objective, and constructive feedback to production staff, driving accountability across the floor.
Educational Qualifications & Experience
Minimum Education:
- B.Sc. /M.Sc. in Nursing, Microbiology, Biotechnology, or Life Sciences.
- B.Pharm / M.Pharm (Bachelor/Master of Pharmacy).
- BAMS / BHMS / BDS (Alternative Medicine / Dental graduates looking for non-clinical corporate pathways).
- Graduates in English Literature or general streams are acceptable ONLY if accompanied by a formal certification in Medical Transcription/Scribing.
Experience Profile:
- Total Experience: 5 to 8 years in the Medical Transcription / Medical Scribing / Healthcare Documentation industry.
- Relevant Experience: Minimum 3+ years of core experience acting as a Senior Quality Analyst (QA), Subject Matter Expert (SME), or Lead Auditor managing high-stakes healthcare data validation.
- Prior experience working with AI-generated transcripts, digital scribes, or complex segmentation annotation is highly preferred.
3. Client Interfacing & Guideline Management