82 applicants

Company

CareSource · 8 hours ago

REMOTE - Data Science & AI Manager - NLP/Risk Adjustment Must Have - R8094

United States

Full-time

Remote

Mid, Senior Level

$109K/yr - $190K/yr

8+ years exp

Maximize your interview chances

Health CareMedical

Comp. & Benefits

Insider Connection @CareSource

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Natural Language ProcessingGenerative AIPredictive AnalyticsMachine LearningData ScienceStatistical ModelingPythonRSQLCloud ServicesData VisualizationFeature EngineeringExploratory Data AnalysisHealthcare InformaticsOptical Character RecognitionWeb App DevelopmentAPI DevelopmentHealthcare Data KnowledgeHealthcare Operations KnowledgeOptimization TechniquesProject Management

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