Clinical Annotator
Centific · Hyderabad
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
ABOUT THE ROLE
We are looking for detailed and visual-oriented individuals to join us in our goal to improve the quality of care for patients. As a Data Analyst, you will be responsible for quality-reviewing and annotating clinical data. You will work with a growing multidisciplinary team of talented clinical researchers, data scientists, engineers, and statisticians, that work at the intersection of clinical knowledge and advanced data science. The ideal candidate for this role is a visual learner, has great attention to detail, and is comfortable conducting repetitive work with medical data.
RESPONSIBILITIES
As a key member of our multi-disciplinary team, you will :
- Utilizing your clinical experience, use our editing interface to annotate and QA existing labels of medical data with appropriate, pre-defined tags that you will learn during your training and onboarding process.
- Annotating the clinical data from different databases based on the Linguistic Role, Clinical classification, Structure Role in Medical Note and/or Extraction of clinical attributes with normalization.
- Responsible for data de-duplication (matching and merging data), data cleansing (matching, linking, updating records),
- Utilizing multiple sources of data including tools to analyze and resolve problems.
- Approach work requirements in a methodical and conscientious manner.
- Prioritizing tasks and following them through to completion in a timely manner, with minimal supervision.
- The responsibilities listed are a general overview of the position and additional duties may be assigned.
REQUIRED QUALIFICATIONS:
- Bachelor's or Master's degree in health informatics, nursing, biology or related field.
- Medical Scribe, Medical Assistant, Nurse Practitioner, or Clinical Research Associate with a minimum of 1 year of clinical experience.
- Experience handling protected health information.
- Detail-oriented and attentive, a self-starter and analytical thinker.
- Fluency in clinical parameters, medical terminology, and ontologies such as ICD-10-CM, SNOMED-CT, CPT, RxNorm and LOINC.