Clinical Subject Matter Expert & Data Abstractor
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Job Location:
Jersey, NJ - USA
Monthly Salary:
Not Disclosed
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Clinical Subject Matter Expert & Data Abstractor
Job Location: Jersey City NJ - Hybrid
Job duration: Long Term
Job Summary
We are seeking a highly skilled and detail-oriented Clinical Subject Matter Expert (SME) to lead clinical pre-annotation validation and data abstraction. This role is critical for our incremental annotation process focusing on the human validation of NLP-generated data and the precise abstraction of clinical elements from complex medical records. The successful candidate will bridge the gap between raw clinical documentation and high-quality structured datasets specifically supporting studies in neurology (ICH and Seizures).
Key Responsibilities
Clinical Data Abstraction: Perform deep-dive reviews of clinical notes for cohorts of up to 150 patients with Intracerebral Hemorrhage (ICH) and 150 patients with new-onset seizures.
Targeted Data Extraction: Assess and extract up to 18 specific data elements (5 9 per outcome) across patient groups as defined by client protocols.
Dataset Management: Accurately enter abstraction findings into patient-specific datasets and ensure timely delivery of high-quality data to the client. Clinical Annotators to abstract facts from notes and update those in CRFs
Annotation Validation: Perform rigorous human validation on pre-annotated data generated by commercial NLP models (e.g. Amazon Comprehend Medical) or internal LLM tools.
Guideline Refinement: Contribute to the iterative improvement of annotation guidelines to enhance inter-annotator agreement and resolve disagreements between model outputs and human validation.
Cross-functional Collaboration: Partner with Data Science and NLP teams to provide feedback on model performance and assist in the creation of golden datasets for model evaluation.
Compliance: Maintain strict adherence to HIPAA data privacy and security protocols regarding sensitive US patient data.
Qualifications
Must-Have (Required):
Education: Bachelors or Masters degree in a Healthcare/Life Sciences field (e.g. Nursing/RN BAMS BHMS Pharmacy or Clinical Research).
Experience: Proven experience in Clinical Data Abstraction or medical record review.
Clinical Competency: Strong ability to interpret unstructured US clinical documentation (Discharge Summaries Physician Progress Notes Imaging Reports).
Technical Proficiency: Solid understanding of NLP concepts and experience with data annotation tools (e.g. Label Studio Prodigy Inception).
Detail Oriented: Exceptional accuracy in identifying minute clinical data elements across 100 page patient files.
Good-to-Have (Preferred):
JSL Expertise: Prior experience within the John Snow Labs (JSL) ecosystem specifically Health AI Lab and GenAI tools.
Therapeutic Knowledge: Specific experience in Neurology (Stroke/ICH/Seizures) or Oncology (ECOG/Karnofsky scores).
Advanced Annotation: Experience with Named Entity Recognition (NER) Relationship Extraction and Assertion Status.
Process Knowledge: Familiarity with incremental batch training and machine learning lifecycles.
