Job summary
Job post source
This job is directly from Carta Healthcare
Job overview
The Clinical AI Engineer at Carta Healthcare designs and improves AI tools for clinical registries, combining clinical expertise with AI prompt engineering to enhance healthcare data workflows.
Responsibilities and impact
The role involves designing and evaluating LLM systems, translating clinical registry data into AI workflows, measuring data quality, and collaborating with product, engineering, and clinical teams to refine AI behaviors and support registry automation.
Compensation and benefits
The salary range is $89,900 to $97,900 with a competitive benefits package including healthcare and 401k.
Experience and skills
Candidates need clinical knowledge in patient data and registry programs, 1+ year experience in AI prompt engineering, skills in AI output evaluation, data QA, and strong communication abilities; a bachelor's in a clinical field is required, with a master's or AI coursework preferred.
Work environment and culture
Carta Healthcare values diversity, inclusion, mission-driven work, and offers a fast-paced, collaborative environment with talented teammates and a focus on impactful healthcare AI solutions.
Company information
Carta Healthcare develops industry-leading AI products for healthcare, focusing on improving clinical data abstraction and registry automation with innovative LLM technologies.
Team overview
The candidate will work closely with cross-functional teams including product, engineering, clinical operations, nurses, abstractors, and AI researchers to develop and refine AI tools.
Job location and travel
The position is remote within the continental United States, requiring legal authorization to work in the US without sponsorship.
Unique job features
The job offers the unique opportunity to work on cutting-edge LLM and AI applications in healthcare, contributing to novel AI prompt strategies and real-world clinical data solutions.
Company overview
Carta Healthcare is a technology company specializing in healthcare data management and analytics. They provide solutions that streamline data collection, integration, and analysis to improve patient care and operational efficiency for healthcare providers. Founded in 2017, Carta Healthcare leverages artificial intelligence and machine learning to automate data extraction from medical records, reducing administrative burdens and enhancing decision-making processes. Their revenue model includes subscription-based services and partnerships with healthcare institutions, ensuring a steady income stream while fostering innovation in healthcare technology.
How to land this job
Position your resume to highlight your clinical expertise combined with hands-on experience in AI prompt engineering, emphasizing your ability to design and evaluate LLM-powered tools tailored for clinical registries.
Focus on showcasing your skills in developing prompt strategies, designing evaluation protocols, and applying clinical reasoning to improve AI outputs, as these are key responsibilities in the role.
Apply through multiple platforms including Carta Healthcare's official careers page, LinkedIn, and other job boards where the Clinical AI Engineer position is posted to maximize your application reach.
Connect with current employees in the AI, clinical operations, or product teams at Carta Healthcare on LinkedIn; initiate conversations by referencing recent advancements in healthcare AI or asking about challenges they face with LLM applications in clinical settings.
Optimize your resume for ATS by incorporating keywords from the job description such as 'LLM prompt engineering,' 'clinical registry abstraction,' 'AI output evaluation,' 'data quality metrics,' and 'error taxonomies' to ensure your resume passes automated screenings.
Utilize Jennie Johnson's Power Apply feature to automate tailored applications across multiple channels, identify relevant LinkedIn contacts for networking, and optimize your resume for ATS, freeing you to focus on preparing for interviews and deepening your clinical AI knowledge.
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