CareSource · 5 hours ago
REMOTE - Data Science & AI Manager - NLP/Risk Adjustment Must Have - R8094
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Comp. & Benefits
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Responsibilities
Stay updated on the latest trends in NLP, Generative AI, and healthcare informatics, integrating these advancements into the team’s 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 a team 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
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 and maintain the highest standards of data integrity
Lead cross-functional projects as a hands-on leader, with occasional light project management across teams to deliver results
Lead by example – motivating, mentoring, and collaborating with teammates to further the department’s objectives
Represent the department in project meetings and other meetings that require subject matter knowledge and input
Perform any other job duties as requested
Qualification
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Required
Bachelor’s Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is required
Minimum of eight (8) years of experience in predictive analytics, data science, or a related field, preferably within the healthcare industry or managed care organizations required
Minimum of five (5) years of experience in the healthcare industry required
Minimum of one (1) year of experience with cloud services (such as Azure, AWS or GCP) and modern data stack (such as Databricks or Snowflakes) is required
Minimum of one (1) years of experience in development and deployment of an NLP and Generative AI solution in the healthcare industry is required
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
Expert in MS office (Excel, PowerPoint, Word, Access)
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
Experience 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
Leadership qualities, including the ability to mentor and develop a team, foster collaboration, and drive results
Comfortable reading academic research papers and applying them in the models
Preferred
Master’s degree or PhD is preferred
Project management experience preferred
Benefits
Substantial and comprehensive total rewards package
Company
CareSource
CareSource provides managed care services to Medicaid beneficiaries.
Funding
Current Stage
Late StageLeadership Team
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