At a glanceSummarised by Seekless from the posting.
Must have10
Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field, or any combination of education and experience which would provide the required qualifications for the position.
Experience working with multiple GenAI models, including open-source.
Experience with natural language processing (NLP) and computer vision techniques.
Experience in data preprocessing and model deployment.
Strong foundational knowledge of generative AI techniques and frameworks (e.g., Transformers, GPT, diffusion models).
Proficiency in machine learning tools and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Familiarity with healthcare data structures, workflows, and challenges (e.g., EMR/EHR integration, ICD/CPT coding, HL7/FHIR).
Strong programming skills in Python or similar languages.
Strong problem-solving skills and a growth mindset.
Eagerness to learn and adapt in a fast-paced, mission-driven environment.
Nice to have1
Knowledge of voice recognition and transcription technologies is a plus.
Skills
TensorFlow
PyTorch
Scikit-learn
Python
GenAI
GPT
diffusion models
HIPAA
ICD
CPT
HL7
FHIR
NLP
computer vision
Job Description:
The Data Scientist will contribute to the development of AI and Generative AI (GenAI) models and workflows tailored for the healthcare domain. This role will work on building solutions that address real-world challenges. This role offers an exciting opportunity to apply knowledge of GenAI, machine learning, and healthcare-specific requirements while collaborating with a multidisciplinary team of experts.
Responsibilities
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Develop workflows to enhance the efficiency and accuracy of note-taking in healthcare settings.
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Collaborate with data engineers, product teams, and clinical experts to ensure solutions align with healthcare workflows and standards.
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Address healthcare-specific challenges such as HIPAA compliance, medical terminology integration, and adherence to standards like ICD, CPT, and HL7/FHIR.
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Stay updated with the latest advancements in GenAI, NLP, computer vision, and healthcare AI technologies.
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Perform other duties that support the overall objective of the position.
Education Required:
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Bachelor’s degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field.
•
Or, any combination of education and experience which would provide the required qualifications for the position.
Experience Required:
•
Experience working with multiple GenAI models, including open-source.
•
Experience with natural language processing (NLP) and computer vision techniques.
•
Experience in data preprocessing and model deployment.
Knowledge, Skills & Abilities:
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Knowledge of: Strong foundational knowledge of generative AI techniques and frameworks (e.g., Transformers, GPT, diffusion models). Proficiency in machine learning tools and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with healthcare data structures, workflows, and challenges (e.g., EMR/EHR integration, ICD/CPT coding, HL7/FHIR). Knowledge of voice recognition and transcription technologies is a plus.
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Skill in: Strong programming skills in Python or similar languages. Strong problem-solving skills and a growth mindset.
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Ability to: Eagerness to learn and adapt in a fast-paced, mission-driven environment.
The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee’s ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate.
NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.