Clinical Data Curation and Research Specialist
Posted on January 21, 2026 (about 4 hours ago)
About Autonomize AI
Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on improving lives. We're growing fast and looking for bold, driven teammates to join us.
The Opportunity
We are seeking a meticulous and detail-oriented Data Curation and Research Specialist (Healthcare) to provide clinical guidance for Autonomize’s healthcare co-pilots used in clinical decision support, automated coding, and patient risk stratification. You will plan and oversee clinical annotation initiatives, develop annotation guidelines, perform annotations, and adjudicate discrepancies to ensure high-quality training and validation data for AI/ML models in healthcare.
Key Responsibilities
- Collaborate with data scientists, clinicians, and machine learning engineers to provide clinical guidance and advance Healthcare AI.
- Develop annotation guidelines to accelerate development of Autonomize’s copilots.
- Review and annotate clinical documents such as EMRs, clinical notes, discharge summaries, referral forms, and medical charts.
- Tag and classify data using standard clinical terminologies and taxonomies (e.g., ICD-10, CPT, HCPCS, SNOMED CT, LOINC).
- Identify and extract structured entities from unstructured text, including diagnoses, procedures, medications, and lab results.
- Perform quality control and inter-annotator agreement checks to ensure consistency and accuracy.
- Maintain clear documentation of annotation decisions, edge cases, and guideline clarifications.
- Provide feedback on annotation tooling and suggest improvements based on user experience.
Required Qualifications
- Bachelor’s degree in a healthcare-related field (e.g., Nursing, Health Information Management, Public Health, Biomedical Sciences, Billing & Utilization Management).
- Knowledge of clinical coding systems such as ICD-10, CPT, and SNOMED CT.
- Familiarity with Electronic Medical Records (EMR) systems and clinical documentation practices.
- Strong analytical and critical thinking skills with high attention to detail.
- Excellent written communication skills for documentation and collaboration.
Preferred Qualifications
- Prior experience in clinical data annotation, medical coding, clinical documentation improvement (CDI), billing & utilization management, or health informatics.
- Certification in medical coding (e.g., CPC, CCS, RHIT).
- Experience with annotation tools and platforms (e.g., Prodigy, Labelbox, LightTag, Snorkel).
- Exposure to machine learning or natural language processing (NLP) projects in healthcare.
What We Offer
- A chance to make a real impact in the future of healthcare.
- Autonomy, ownership, and the ability to chart your own growth path.
- Competitive compensation and benefits.
- 100% employer-paid health, vision, and dental insurance.
- Retirement plans (401k), disability insurance, and employee assistance programs.
How to Apply
Please send your resume and a brief cover letter explaining why you are the right partner for this mission to [email protected].
Application Materials
Include a short cover letter and up-to-date resume. Applications will be reviewed on a rolling basis.