Autonomize AI · 20 hours ago
Clinical Data Curation and Research Specialist
Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. They are seeking a meticulous and detail-oriented Data Curation and Research Specialist to provide clinical guidance and oversee clinical annotation initiatives, contributing to the development of healthcare AI applications.
Artificial Intelligence (AI)HealthcareInformation TechnologyHealth CareMedical
Responsibilities
Collaborate with data scientists, clinicians, and machine learning engineers to provide clinical guidance and drive meaningful advancements in Healthcare AI
Develop annotation guidelines to accelerate development of Autonomize’ 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 such as 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
Qualification
Required
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
Prior experience in clinical data annotation, medical coding, clinical documentation improvement (CDI), billing & UM, or health informatics
Certification in medical coding (e.g., CPC, CCS, RHIT)
Experience with annotation tools and platforms (e.g., Prodigy, Labelbox, LightTag, Snorkel, etc.)
Exposure to machine learning or natural language processing (NLP) projects in healthcare is a plus
Benefits
100% employer-paid health, vision, and dental insurance
Retirement plans (401k)
Disability insurance
Employee assistance programs
Company
Autonomize AI
Autonomize AI uses AI Agents to simplify some of healthcare’s most complex processes, transforming them into AI-native operations.
H1B Sponsorship
Autonomize AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
Funding
Current Stage
Growth StageTotal Funding
$32MKey Investors
Cigna Ventures,Tau Ventures,ValtruisAsset Management Ventures (AMV)
2025-06-12Series A· $28M
2023-04-10Seed· $4M
Recent News
Beinsure - Insurance, Reinsurance, InsurTech Insights
2025-10-29
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