Lead the machine learning strategy and execution to improve patient outcomes.
Collaborate with tech, clinical, and operations teams to implement clinical interventions.
Build predictive models, set up analytics data models in DBT, and analyze clinical and operational data.
Oasis Health Partners is an all-in-one partner for independent primary care practices, focusing on Medicare value-based care programs and surrounding practices with practical support. The company is building a fast-growing network of independent PCPs and IPAs, backed by leading healthcare investors and scaling into new markets.
Build trusted datasets and measures from Epic data using SQL/PySpark, validating every number against existing reports.
Develop and deploy statistical and machine-learning models for operational and clinical questions through production pipelines.
Apply NLP and LLMs to clinical text and deliver Power BI semantic models and conversational data agents.
Emory Healthcare is a healthcare system that transforms clinical and operational data into measures, models, and AI tools for leaders and clinicians. It offers comprehensive benefits, mentorship, and leadership programs in a supportive environment that fosters professional growth.
Design, build, and maintain production-ready data models and semantic layers using advanced SQL and analytics engineering best practices.
Ingest and blend diverse healthcare datasets, including payer claims, EMR/clinical data, and operational logs.
Execute fast-turnaround ad-hoc SQL queries and deep-dive analyses to support operational, clinical, and financial decisions.
Privia Health is a national physician platform transforming the healthcare delivery experience by providing tailored solutions for physicians and providers. The company partners with health plans, health systems, and employers to align reimbursements with quality and outcomes, and fosters an inclusive work environment.
Lead the analytical strategy to improve member and provider experiences within Spring Practice, leveraging AI and predictive modeling.
Drive rapid experimentation with a focus on quasi-experimental methods, validate improvements, and provide clear recommendations.
Act as an embedded technical leader, partnering with product and design teams to define success metrics and ensure data-driven decision-making.
Spring Health is a global mental health company on a mission to eliminate every barrier to mental health, offering an AI-native platform for personalized care. The company reaches over 170 million people worldwide and fosters a culture of innovation, inclusivity, and data-driven collaboration.
Deliver novel and impactful insights for client organizations using machine learning and AI technologies.
Work closely with Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses.
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals.
Doximity is the leading clinical AI company with the largest network of U.S. clinicians, trusted by over 85% of physicians and 300+ health systems. The company values curiosity, ownership, inclusion, and making a meaningful impact in healthcare.
Drive development and implementation of data capture and analysis strategy from multiple sources.
Synthesize data to build evidence supporting clinical, financial, and operational strategy.
Lead cross-functional financial performance analyses and present actionable insights to leadership.
Dignity Health MSO provides managed care administrative and clinical services to medical groups and hospitals. As part of CommonSpirit Health, it focuses on improving population health and quality of care through data-driven strategies.
Analyze clinical, outcomes, and program data to provide insights for leaders across the organization.
Partner with clinical and operational teams to translate complex questions into clear, actionable analysis.
Develop AI-assisted analytical workflows and validate outputs to ensure accuracy and proper oversight.
Compass Health Center provides crisis-level mental health care through partial hospitalization and intensive outpatient programs. Based in Chicagoland, it serves hundreds of patients daily and values teamwork, humility, and innovation.
Partner with Medical Affairs to define KPIs and build dashboards for clinical outcomes.
Conduct exploratory analyses to identify trends and recommend improvements.
Collaborate with data science, product, and engineering teams to ensure data access and integrity.
Spring Health is a global mental health company using an AI-native platform to eliminate barriers to mental health care. They serve over 170 million people worldwide through employers and health plans, with a culture focused on innovation and using AI tools to enhance care.
Manage and oversee client data delivery, ensuring accuracy, quality, and timeliness.
Develop and maintain data surveillance processes and build dashboards in Databricks.
Collaborate with clients and internal teams to validate, troubleshoot, and optimize data delivery.
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and vitality. The company is a large healthcare organization focused on innovation and making healthcare more accessible.
Own outcomes measurement and savings analysis to quantify the impact of RightMove's care model on total cost of care and patient outcomes.
Analyze medical claims, referral patterns, and provider performance to identify savings opportunities and guide patients to high-value care.
Communicate findings through executive-ready reports and presentations to support commercial teams and customer stakeholders.
RightMove is redefining musculoskeletal (MSK) care by shifting from fragmented, volume-driven care to a coordinated, expert-led model powered by AI and data. Backed by leading investors and built in partnership with the Hospital for Special Surgery, the company is a rapidly expanding startup with a high-performing team that values impact, direct communication, and collaboration.
Develop, fine-tune, deploy, and monitor pretrained language models for healthcare applications
Work with messy unstructured EHR data, including clinical text and imaging, to generate real-world insights
Collaborate cross-functionally to translate clinical questions into data analytics requirements
Verana Health is a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network in ophthalmology, neurology, urology, and oncology. Backed by Johnson & Johnson Innovation and GV, the company recently raised $150 million in Series E and maintains a diverse, remote-friendly culture with offices in San Francisco, New York City, and Knoxville.
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
Play a key role in creating both product and client-facing analytics and inform data team strategy.
Collaborate with product managers, analysts, and developers to define and lead data projects from ingestion to analysis to recommendations.
Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Trusted by over 85% of U.S. physicians and 300+ health systems, they value curiosity, ownership, inclusion, and making a meaningful impact.
Build and lead the data analytics and outcomes research function, owning architecture through client-facing reporting.
Partner with engineering and product on implementation and delivery, and translate member and clinical data into actionable conviction.
Manage a small growing team and produce health economics evidence that demonstrates value to payer clients.
Nadia Care is a maternal health company reimagining pregnancy, birth, and postpartum care for underserved communities through doula support, care navigation, and virtual engagement. It is an early-stage, lean team that values empathy, collaboration, and resilience in a fast-paced environment.
Lead technical support for VHA AI Citizen Developers, guiding ML model design and deployment.
Apply supervised, unsupervised, and reinforcement learning to healthcare-specific data models.
Develop synthetic data cohorts and workflows in cloud environments (e.g., AWS GovCloud).
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies and have 300+ employees nationwide, fostering a culture of innovation and service.
Design and build data pipelines to ingest and transform raw healthcare data into structured, reusable form.
Develop condition-suspecting algorithms and semantic structures to support AI and retrospective risk adjustment.
Own end-to-end data integration projects, working directly with customers and cross-functional teams.
Reveleer delivers a unified platform for risk adjustment, quality improvement, and clinical intelligence for health plans and providers. Trusted by 80+ organizations nationwide, the company integrates data, analytics, and AI into a governed system, with a culture focused on regulatory expertise and transparent, human-in-the-loop AI.
Gather business requirements and apply trend analysis to identify actionable insights using analytic tools and healthcare claims data.
Develop, fine-tune, and implement large language models (LLMs) and deep learning models for anomaly detection and automated analysis.
Build visualizations and dashboards in Tableau to communicate findings and support business workflows.
Cohere Health is a healthcare technology company that uses data science to improve clinical outcomes and reduce costs. The company operates remotely with a focus on innovation and collaboration, employing a team of data scientists and engineers dedicated to transforming healthcare data into actionable insights.
Handle a wide range of analytic needs across internal teams and external clients, from quick questions to ongoing engagements.
Work with healthcare data, including claims and clinical sources, to build reliable, well-documented datasets and analyses.
Support value-based care initiatives by analyzing quality measures, risk adjustment, and cost-of-care trends.
Guidehealth is a data-powered healthcare company leveraging AI and predictive analytics to make healthcare affordable and improve patient outcomes. It is a growing, physician-led organization with a collaborative, mission-driven culture that values agility and continuous learning.
Curate and validate inpatient clinical data from EHR systems, including flowsheets, orders, notes, and ADT, to create reliable measures and dashboards.\n- Collaborate with data scientists and operations teams to identify improvement opportunities and support predictive modeling initiatives.\n- Serve as a key point of contact for customer operations, ensuring data accuracy and leading root cause analysis for data quality issues.
Tendo is a fast-growing, mission-driven company building software to improve the healthcare journey for patients, clinicians, and caregivers. Recognized as one of Forbes' Top Startup Employers for 2024 and 2025, they have a team-driven culture and multiple hubs across the US.
Own analytics and AI workstreams for next-best-action and field education capabilities, translating integrated data into actionable recommendations.
Develop interpretable machine learning, statistical, and generative AI solutions using structured and unstructured clinical, laboratory, commercial, and enterprise data.
Collaborate with data and application engineers on pipelines, version control, testing, and deployment, while documenting data lineage and limitations.
CareDx is a leading precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy. Every employee contributes to innovations that transform patient care, supported by a culture of curiosity, accountability, and transparency.
Build, deploy, and maintain predictive and prescriptive models that solve real-world business challenges such as customer churn, subscription health, and purchase propensity.
Transform complex data into actionable insights, develop features and training datasets within Snowflake and dbt, and use Python and SQL for feature engineering and machine learning.
Partner with Data & Analytics, Engineering, and business stakeholders to define problems, establish success metrics, and deliver impactful solutions.
The client is a customer-driven company that values innovation, collaboration, curiosity, and delivering results. The team works together to build products and experiences that make a meaningful difference for customers.