MedeAnalytics

👥 251-500💰 $57,000,000 over 9 years agoClinical Trials Analytics Health Care💼 Private Company

MedeAnalytics empowers healthcare organizations to thrive in a data-driven world. We deliver advanced analytics and AI-powered solutions that improve financial, operational, and clinical performance. Our platform helps payers and providers optimize resource allocation, enhance patient outcomes, and achieve value-based care goals. We leverage a robust technology stack including cloud platforms (Amazon), data orchestration tools, and visualization solutions (Tableau, Power BI) to deliver actionable insights. Our team of experts is passionate about transforming healthcare, combining deep industry knowledge with cutting-edge technology. We're a fast-growing company with a collaborative culture committed to innovation and making a significant impact on the lives of patients. Established in 1993, MedeAnalytics has secured significant funding and continues to expand its market leadership through strategic acquisitions and product development. Our engineering practices emphasize building scalable and secure solutions, integrating seamlessly with existing healthcare systems. We use a combination of agile methodologies and collaborative workflows to ensure efficient and high-quality software delivery. We prioritize using the latest technologies and tools to provide the best possible experience for our clients and employees. The success of our technology is evident in the diverse and powerful applications it supports: Population Health Management, Value-Based Care, and Revenue Cycle Management. Our solutions allow clients to successfully navigate the complexities of the changing healthcare landscape. MedeAnalytics fosters a supportive and inclusive environment where team members are empowered to contribute their unique skills and perspectives. We offer competitive compensation, comprehensive benefits, and significant professional development opportunities. We value continuous learning, teamwork, and a commitment to excellence. We are proud of our contributions to the healthcare industry and the positive impact we make on patients and providers across the nation. Our recent acquisition of SubPop Health further solidifies our commitment to providing comprehensive solutions for healthcare organizations. With a strong financial footing and a clear vision for the future, MedeAnalytics is well-positioned for continued growth and innovation. We are always seeking talented individuals who share our passion for transforming healthcare and are looking for a challenging, fulfilling career. Join #TeamMede and help shape the future of healthcare performance.

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Jobs at this company:

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🔥 Principal, Payer Strategic Consulting

Posted 2 months ago

📍 USA

🧭 Full-Time

💸 150000.0 - 175000.0 USD per year

🔍 Healthcare analytics

🔧 Requirements

Master’s degree in business, healthcare administration, or related field.
8+ years of consulting experience in healthcare payer landscape at VP or C-suite level.
Proven success managing multi-million dollar business quotas.
Deep knowledge of Medicare, Medicaid, and value-based care models.
Expertise in scaling consulting services in a SaaS-based healthcare model.
Track record of delivering over $4M in ARR with 50%+ YoY growth.
Leadership experience in building and mentoring consulting teams.
Strong sales acumen and influencing ability.
Customer-focused mindset with a passion for revenue growth.

💡 Responsibilities

Contribute to and execute consulting division's strategic plans.
Lead consulting sales across U.S. payers.
Manage multi-million dollar annual sales and revenue retention quota.
Provide leadership across the consulting team, setting objectives and performance standards.
Collaborate with senior leadership to develop consulting solutions.
Build relationships with clients and identify expansion opportunities.
Drive thought leadership and stay abreast of industry trends.

LeadershipArtificial IntelligenceData AnalysisMachine LearningStrategic ManagementSales experience

Posted 2 months ago

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🔥 Area Vice President, Payer Sales

Posted 5 months ago

📍 AR, IA, LA, MN, MO, ND, SD, KS, NE, OK, TX, MT, WY, CO, NM, AZ, NV, UT, ID, WA, OR, CA

🧭 Full-Time

💸 150000 - 175000 USD per year

🔍 Healthcare technology

🔧 Requirements

10+ years of experience in consultative selling of SaaS-based technology to the healthcare market.
Strong understanding of data activation, public cloud, interoperability, and analytics solutions.
Knowledge of healthcare, including value-based care and ACOs.
Ability to construct innovative capability-based deals.
Analysis of market trends and customer needs to design effective sales strategies.
Familiarity with analytical & visualization tools like Excel and Tableau.
Demonstrated sales success in exceeding multi-million-dollar quotas.
Bachelor’s degree or equivalent experience, MBA preferred.
Exceptional communication and presentation skills.

💡 Responsibilities

Use consultative selling techniques to create and present innovative capability-based deals.
Carry and exceed a multi-million-dollar annual sales quota.
Develop and manage market segments and pipeline development strategies.
Identify and connect with decision-makers using various channels.
Conduct proactive outreach to develop qualified leads.
Navigate complex buying processes and negotiate contracts.
Align with the marketing team to create partner-focused materials.
Collaborate with product and solution consulting for client pursuits.
Support client contracting processes and develop internal pricing models.

Artificial IntelligenceMachine LearningTableauCollaboration

Posted 5 months ago

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🔥 Sr. Data Scientist - Healthcare AI & Analytics

Posted 6 months ago

📍 USA

💸 140000.0 - 170000.0 USD per year

🔍 Healthcare

🔧 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.
Advanced data engineering skills using SQL, GIT, and Bitbucket
Strong background in machine learning, deep learning, LLM applications, and NLP techniques.
Experience with cloud services: AWS: Bedrock, SageMaker, Comprehend Medical, Lambda, S3; Azure: Machine Learning, Cognitive Services, Azure Functions; GCP: Vertex AI, Cloud Natural Language API, Cloud Functions
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.

💡 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.
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.

AWSPythonSQLApache AirflowCloud ComputingData AnalysisGCPGitKerasMachine LearningMLFlowNLTKNumpyAlgorithmsAPI testingAzureData engineeringData scienceData StructuresRDBMSREST APIPandasTensorflowCommunication SkillsAnalytical SkillsCI/CDJSONData visualizationData modeling

Posted 6 months ago

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