Description
Truveta is the world's first health provider-led data platform with a vision of Saving Lives with Data. We empower researchers, clinicians, and healthcare organizations through high-quality clinical data and AI-driven insights.
We are seeking an experienced clinical professional to manage a team of Clinical Terminologists, Data Annotators, and Clinical Abstractors responsible for clinical terminology mapping, data annotation, and data quality. The ideal candidate is a self-starter who excels at developing high-performing teams, driving operational excellence, and delivering projects with exceptional quality and timeliness.
Work Location: Hyderabad, India
This Opportunity
Join the founding team of the Truveta India Development Center (IDC) and play a pivotal role in shaping its future. As one of the initial members, you'll help build and scale a high-impact organization while contributing to products and platforms that advance healthcare through data and AI. This is a unique opportunity to influence both the technical direction and the culture of a growing global engineering hub.
Key Responsibilities
- Lead, mentor, and develop a team of Clinical Terminologists, Data Annotators, and/or Clinical Abstractors by providing coaching, training, and performance guidance.
- Oversee terminology mapping and clinical data normalization using standards such as SNOMED CT, RxNorm, and LOINC, ensuring exceptional quality and consistency.
- Drive project execution by managing priorities, monitoring team performance, and ensuring deliverables are completed on time with minimal oversight.
- Collaborate cross-functionally with Engineering, Product, Program Management, and AI/ML teams to improve clinical data pipelines and annotation processes.
- Establish and continuously improve quality standards, workflows, documentation, and operational processes to support scalable clinical data operations.
Key Qualifications
- MBBS degree required.
- 2–5 years of people leadership experience leading Clinical Terminologists, Medical Coders, Clinical Data Annotators, Clinical Abstractors, or similar healthcare data teams.
- Strong working knowledge of SNOMED CT, RxNorm, LOINC, Electronic Medical Records (EMRs), and clinical documentation.
- Proven ability to independently lead projects, mentor teams, solve problems proactively, and consistently deliver high-quality outcomes on schedule.
- Excellent communication, stakeholder management, organizational, and project management skills in a fast-paced, cross-functional environment.
Preferred Qualifications
- Experience leading clinical terminology mapping or AI/ML data annotation initiatives.
- Experience developing annotation guidelines, quality frameworks, and training programs.
- Professional certification in medical coding or health information management (CPC, CCS, RHIT, RHIA, CCA, or equivalent) is a plus.
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