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Applied AI Scientist III

Remote in Dayton, OH, US • Posted 30+ days ago • Updated 3 hours ago

Full Time

On-site

USD $94,100.00 - 164,800.00 per year

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Job Details

Skills

Advanced Analytics
Health Informatics
Innovation
Deep Learning
Business Requirements Gathering
IT Risk
HEDIS
Finance
Performance Monitoring
Algorithms
Operational Efficiency
Cost Control
Data Cleansing
Collaboration
KPI
Dashboard
Decision-making
Leadership
Predictive Modelling
Regulatory Compliance
Privacy
HIPAA
Data Integrity
Documentation
Mathematics
Computer Science
Data Science
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud Platform
Google Cloud
Databricks
Snow Flake Schema
Natural Language Processing
Generative Artificial Intelligence (AI)
Prompt Engineering
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Evaluation
Risk Management
Statistical Models
Machine Learning (ML)
Predictive Analytics
Python
R
Data Manipulation
Data Visualization
SQL
Statistics
Linear Regression
Emerging Technologies
Large Language Models (LLMs)
Natural Language
Named-Entity Recognition (NER)
Modeling
Text Classification
Data Extraction
Forms
Invoices
Optical Character Recognition
API
Pharmacy
Electronic Health Record (EHR)
Health Information Exchange
Utilization Management
Health Care
Data Analysis
Optimization
Artificial Intelligence
Analytical Skill
Problem Solving
Conflict Resolution
Critical Thinking
Project Management
Communication
Presentations
Research
System Integration Testing
Training
Partnership
Brand

Advanced Analytics
Health Informatics
Innovation
Deep Learning
Business Requirements Gathering
IT Risk
HEDIS
Finance
Performance Monitoring
Algorithms
Operational Efficiency
Cost Control
Data Cleansing
Collaboration
KPI
Dashboard
Decision-making
Leadership
Predictive Modelling
Regulatory Compliance
Privacy
HIPAA
Data Integrity
Documentation
Mathematics
Computer Science
Data Science
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud Platform
Google Cloud
Databricks
Snow Flake Schema
Natural Language Processing
Generative Artificial Intelligence (AI)
Prompt Engineering
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Evaluation
Risk Management
Statistical Models
Machine Learning (ML)
Predictive Analytics
Python
R
Data Manipulation
Data Visualization
SQL
Statistics
Linear Regression
Emerging Technologies
Large Language Models (LLMs)
Natural Language
Named-Entity Recognition (NER)
Modeling
Text Classification
Data Extraction
Forms
Invoices
Optical Character Recognition
API
Pharmacy
Electronic Health Record (EHR)
Health Information Exchange
Utilization Management
Health Care
Data Analysis
Optimization
Artificial Intelligence
Analytical Skill
Problem Solving
Conflict Resolution
Critical Thinking
Project Management
Communication
Presentations
Research
System Integration Testing
Training
Partnership
Brand

Summary

Job Summary:

The Applied AI Scientist III is responsible for the development and application of cutting-edge advanced analytics solutions using emerging Artificial Intelligence (AI) technologies such as Agentic AI, Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Natural Language Processing (NLP) and Generative AI solutions to enhance healthcare operations, patient care, and overall health plan performance and efficiency. This position requires a highly skilled AI expert capable of delivering complex data science projects independently while guiding other data scientists through technical expertise and code reviews.

Essential Functions:

Evaluate emerging technology in LLMs, NLP, Generative AI, and healthcare informatics, integrating these advancements into the projects to drive continuous innovation.
Utilize NLP algorithms and other deep learning techniques to process and analyze unstructured healthcare data, such as clinical notes, patient feedback, and medical literature, to extract meaningful insights.
Lead development from prototype through production in partnership with engineering/architecture.
Co-own operational readiness (evaluation, monitoring requirements, documentation, safeguards) and support post-release tuning of Generative AI solutions (such as prompt engineering and RAG).
Lead initiatives specializing in NLP and predictive analytics, ensuring the successful delivery of projects that align with organizational goals.
Work closely with interdisciplinary teams across IT, risk adjustment, program integrity, HEDIS, healthcare operations, finance, and clinical departments to identify and capitalize on opportunities for data-driven innovative solutions using cutting-edge emerging technologies.
Develop and implement predictive models, algorithms, and statistical techniques to extract insights from large and complex healthcare datasets.
Define and execute evaluation strategies for ML and LLM solutions, including quality metrics, bias and safety checks, and performance monitoring after deployment.
Utilize machine learning algorithms to identify patterns, trends, and opportunities for improving operational efficiency, cost containment, and patient care.
Conduct rigorous data analysis, including data cleansing, feature engineering, and exploratory data analysis, to derive meaningful insights and actionable recommendations.
Collaborate with stakeholders to define key performance indicators (KPIs), develop metrics, and create dashboards and reports that effectively communicate insights and support decision-making.
Provide strategic guidance and recommendations to senior leadership based on data analysis and predictive modeling results.
Ensure compliance with data privacy and security regulations, including HIPAA and PHI handling as applicable and maintain the highest standards of data integrity, model governance, and documentation.
Lead cross-functional projects with occasional light project management across teams to deliver results.
Represent the department in project meetings and other meetings that require subject matter knowledge and input.
Perform any other job related duties as requested.

Education and Experience:

Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other related field required
Master's or PhD degree preferred
Equivalent years of relevant work experience may be accepted in lieu of required education
Five (5) years of experience in predictive analytics, data science, or a related field, preferably within the healthcare industry or managed care organizations required
One (1) year of experience in the healthcare industry required
One (1) year of experience with cloud services (such as Azure, AWS or Google Cloud Platform) and modern data stack (such as Databricks or Snowflake) required
One (1) year of experience in development and deployment of an NLP and Generative AI solution in the healthcare industry required

Competencies, Knowledge and Skills:

Familiarity with Agentic AI, LLM architecture, prompt engineering, RAG, and evaluation metrics
Familiarity with MLOps and LLMOps practices such as CI/CD, model registry, experiment tracking, automated evaluation, monitoring, and reproducible pipelines
Understanding of model risk management, AI governance, and responsible AI
Strong expertise in statistical modeling, machine learning techniques, and predictive analytics tools such as Python, or R
Expert in data manipulation, data visualization, and SQL for data extraction and analysis
Ability to perform advanced statistical analysis and modeling such as linear and non-linear regression, sampling, and Markov chains
Expertise in emerging technologies and tools such as large language models, natural language understanding, sentiment analysis, named entity recognition, topic modeling, and text classification
Expertise in Optical Character Recognition (OCR) technologies, including data extraction from scanned documents, forms, and invoices, and proficiency in OCR tools and libraries
Familiarity with web app and API development and deployment in production environment
Detailed knowledge of healthcare data, including medical and pharmacy claims, EMR data, HIE data, UM data, and demographic and population data
Knowledge of healthcare operations, payer and provider models, and industry trends
Proficient in feature engineering techniques and exploratory data analysis
Knowledge of optimization techniques and artificial intelligence methods
Excellent analytical, problem-solving, and critical-thinking skills, with the ability to translate complex data into actionable insights
Strong project management skills, with the ability to lead and prioritize multiple projects simultaneously in a fast-paced environment
Excellent written and verbal communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders
Comfortable reading academic research papers and applying them in the models

Licensure and Certification:

None

Working Conditions:

General office environment; may be required to sit or stand for extended periods of time
Up to 15% (occasional) travel to attend meetings, trainings, and conferences may be required

Compensation Range:
$94,100.00 - $164,800.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.

Compensation Type (hourly/salary):
Salary

Organization Level Competencies

Fostering a Collaborative Workplace Culture
Cultivate Partnerships
Develop Self and Others
Drive Execution
Influence Others
Pursue Personal Excellence
Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
#LI-GB1

Brand=CareSource

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX11f1ed
Position Id: 7c7856a187cfc3de09432c160317aab0
Posted 30+ days ago

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