Published: Tue, 15 Oct 2024 10:50:55 GMT
Position: Senior Data Scientist – Healthcare AI & Analytics
Company: MedeAnalytics
About the Company:
MedeAnalytics is a leader in healthcare analytics with over 30 years in the industry. Our SaaS solutions, powered by a data fabric enabled cloud platform, provide measurable impact for healthcare payers, providers, and payviders. We are known for our advanced data orchestration and interoperability, delivering actionable insights that improve financial, operational, and clinical outcomes. Our solutions have helped uncover millions of dollars in savings annually.
Job Summary:
We are seeking an experienced Senior Data Scientist to drive innovation in healthcare analytics using advanced data science techniques, Large Language Models (LLMs), Agentic AI, Natural Language Processing (NLP), and cloud technologies (AWS, Azure, GCP). This role focuses on developing cutting-edge solutions for payers, providers, value-based care (VBC), and population health management.
Key Responsibilities:
– Collaborate with product teams and clients to translate real-world healthcare issues into well-defined problem statements and data science solutions.
– Select appropriate datasets, process and cleanse data for analysis, and develop data structures to organize, collect, and standardize data.
– Develop influential features using machine learning and AI techniques to enhance model development.
– Build and develop ML/AI models to support our expanding portfolio of healthcare-centric solutions, integrating GenAI and LLMs to enhance data models and algorithms with a focus on natural language processing tasks.
– Oversee deployment of GenAI and LLM models, ensuring robust monitoring, maintenance, and updates to enhance model performance.
– Document project development, including problem definitions, data processing, model deployment, and results for auditability.
– Build presentations, dashboards, and reports to communicate analytical insights effectively to various stakeholders.
– Serve as a GenAI expert and provide mentorship, peer review, and guidance to other team members.
Essential Duties and Responsibilities:
– Develop and deploy AI agents for healthcare analytics, enabling autonomous decision-making.
– Utilize cloud platforms (AWS, Azure, GCP) to build scalable data analytics pipelines and AI models.
– Apply NLP techniques to extract insights from unstructured healthcare data such as clinical notes and medical literature.
– Leverage generative AI and NLP techniques to develop predictive models and extract actionable insights from healthcare data.
– Implement text classification, named entity recognition, and sentiment analysis models for healthcare applications across multiple cloud platforms.
– Develop and utilize unit tests to ensure the functional correctness of models.
– Collaborate with cross-functional teams to integrate AI/ML products into existing solutions and workflows.
– Perform exploratory data analysis on high-dimensional datasets, both structured and unstructured.
– Implement text classification, named entity recognition, and sentiment analysis models for healthcare use cases.
Requirements:
– Advanced Degree (Master’s or Ph.D.) in a quantitative field.
– 5+ years of experience in data science, with a focus on healthcare analytics and NLP.
– Proficiency in Python, Jupyter Notebooks, and Python libraries like Pandas, Numpy, and Scikit-learn.
– Strong background in machine learning, deep learning, LLM applications, and NLP techniques.
– Experience with cloud services: AWS, Azure, GCP.
– Experience using and implementing RAG systems and AI agents.
– Familiarity with healthcare data standards (HL7, FHIR) and regulatory requirements (HIPAA).
– Strong communication skills for presenting complex findings to various stakeholders.
– Experience with big data technologies such as Hadoop, Spark, and distributed computing.
Preferred Qualifications:
– Experience with Epic or other major EHR systems and their unstructured data.
– Certifications in AWS, Azure, or GCP cloud technologies.
– Published research in healthcare data science, GenAI, LLMs, or AI applications.
– Knowledge of medical ontologies (SNOMED CT, ICD-10, RxNorm).
– Experience in multi-cloud environments and building cloud-agnostic solutions.
Salary Range: $140,000 – $200,000 USD (actual compensation may vary based on factors such as education, training, relevant work experience, etc.)
Equal Employment Opportunity:
MedeAnalytics is an equal opportunity employer and is committed to fair and equitable pay. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable law. We are proud to be an equal opportunity workplace.
Note to Applicants:
MedeAnalytics does not utilize any outside vendors/agencies. Please no unsolicited phone calls or invites.
** Currently, we are not able to offer sponsorship or take over sponsorship to candidates who are not eligible to work in the country where the position is located.
Join #TeamMede:
At MedeAnalytics, we deeply value our committed, inspired, and passionate team members. If you’re looking to make an impact doing work that matters, you’re in the right place. Help us shape the future of healthcare by joining #TeamMede. Apply link
