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HealthSage AI

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About

HealthSage AI is a digital health company using Generative AI to transform unstructured medical data into actionable insights. Their flagship product, Note-to-FHIR, converts unstructured data into FHIR, SNOMED, and ICD-10 outputs, improving clinical workflows, financial operations, and research data. The HealthSage AI Platform is a generative AI platform dedicated to healthcare, offering a range of AI models, tools, and applications. The company is committed to evidence-based practice and ethical standards, operating from Utrecht, Netherlands, and Paris, France. They are currently hiring for various roles including Clinical Scientist, Clinical Data Analyst, and ML Engineer.

Platform
Web
Task
data transformation

Features

simplifies complex data management

transforms clinician notes into icd-10 output

seamless integration with healthcare information systems

boosts efficiency

uncovers new insights

enriches existing data sets with information from unstructured clinical notes

automates the encoding of clinical assessments

Job Opportunities

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HealthSage AI

Clinical Scientist & Regulatory Specialist

HealthSage AI uses AI to transform unstructured medical data into actionable insights, streamlining workflows and improving financial operations and research. Their platform offers various AI models and applications for healthcare.

scienceremoteEUfull-time

Education Requirements:

  • MD and/or PhD degree in biomedical sciences, or a related discipline, with at least 3-5 years of working experience

  • Master’s degree with demonstrable experience consistent with the position responsibilities

Experience Requirements:

  • Proven experience in running or supporting clinical investigations

  • Prior industry experience in a customer-facing role is desired, but not required

  • Hands-on experience with ISO 13485 and Software as a Medical Device regulations

Other Requirements:

  • Exceptional interpersonal and communication skills

  • Demonstrated ability to work both independently and collaboratively as part of a team

  • Ability to take a hands-on approach to problem-solving and project management/execution

  • Must have the ability to travel to hospitals, healthcare IT partners, and attend medical congresses

Responsibilities:

  • Engage and collaborate with clinical experts

  • Maintain and develop a network of clinical Key Opinion Leaders (KOL’s)

  • Provide feedback and input on the roadmap towards the long-term clinical strategy

  • Write research proposals, publish studies with our customers, and apply for grants

  • Act as the clinical voice towards our engineering team. As a Clinical Product Owner you'll help define and prioritise the backlog.

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Clinical Data Analyst

HealthSage AI uses AI to transform unstructured medical data into actionable insights, streamlining workflows and improving financial operations and research. Their platform offers various AI models and applications for healthcare.

Benefits:

  • Work where and when you want

  • Bruto hourly wage fitting your experience

  • We are always available for your questions

Education Requirements:

  • At least third-year medical student

Experience Requirements:

  • Affinit y for the technical aspect of medicine

Other Requirements:

  • Precise

  • Let us know if you encounter problems

Responsibilities:

  • Help develop our Large Language Model (LLM) by annotating medical data

  • Indicate the content of each part of a piece of medical text

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ML Engineer

HealthSage AI uses AI to transform unstructured medical data into actionable insights, streamlining workflows and improving financial operations and research. Their platform offers various AI models and applications for healthcare.

Education Requirements:

  • Master’s (with 3-5 years of experience) or Ph.D. degree in Computer Science, Engineering, Statistics, Applied Mathematics, or a related field with a focus on machine learning, artificial intelligence or related field

Experience Requirements:

  • Previous experience working with LLM is highly desired

Other Requirements:

  • Strong programming skills in languages such as Python, C++, and proficiency in relevant libraries and frameworks for machine learning (PyTorch)

  • Excellent problem-solving skills

  • Strong communication skills

Responsibilities:

  • Collect, clean, and preprocess data

  • Keep up with the state of the art, develop and train machine learning models

  • Optimize model performance

  • Integrate machine learning models into the product infrastructure and deploy them to production environments

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