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.
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, develop, and scale machine learning models and advanced analytics solutions to improve healthcare provider data quality and generate network insights.
Apply statistical modeling, predictive analytics, NLP, and anomaly detection to solve complex, open-ended business problems.
Partner with Engineering to productionize models, use LLM tools, and translate findings into clear business value for stakeholders.
Quest Analytics provides healthcare provider network management tools, with models and insights that improve the accuracy, adequacy, and accessibility of healthcare provider networks. For more than 20 years, 90% of America's health plans have used their solutions, and they foster an entrepreneurial culture with workplace flexibility.
Build machine learning models for classification and information extraction in healthcare.
Analyze complex healthcare data to improve existing models and implement new solutions.
Collaborate with engineering to deploy ML models into production and explore LLM solutions.
Reveleer provides a unified platform for risk adjustment, quality improvement, and clinical intelligence in value-based care. Trusted by 80+ health plans and provider organizations, it integrates data, analytics, and AI-driven automation with a focus on transparency and human oversight.
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.
Build and deploy models and digital tools that support drug substance, drug product, packaging, and labeling processes.
Partner with technical teams and CDMOs to turn process data into predictive models and analytics for phase-appropriate decisions.
Develop reusable data products and dashboards in Databricks, applying AI/ML to accelerate CMC data review.
Praxis Precision Medicines is a clinical-stage biopharmaceutical company translating genetic insights into therapies for central nervous system disorders. It fosters a culture of trust, ownership, curiosity, and results while developing high-impact medicines.
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.
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.
Own machine learning strategy and execution, including MLOps, infrastructure, and predictive modeling.
Build analytics data models in DBT and analyze clinical and operational data to drive outcomes.
Collaborate with clinical, operations, product, finance, and tech leadership to scale data science.
Oasis Health Partners is an all-in-one partner for independent primary care practices, focusing on Medicare value-based care programs. The company is a fast-growing, startup-minded network backed by leading healthcare investors, committed to keeping independent medicine strong.
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.
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.
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.
Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation.
Own projects end-to-end across search, AI, instant answers, and revenue optimization.
Build monitoring pipelines, evaluation datasets, and trigger systems that balance quality and privacy.
DuckDuckGo is an online protection company raising the standard of trust online through private search, browser, and AI products. Founded in 2008 and profitable since 2014, the remote-first team of 300+ emphasizes trust, inclusivity, and empowered project management.
Design enterprise analytics assets, including curated data models, semantic layers, and reusable reporting components.
Lead architectural oversight for analytics initiatives and promote self-service analytics using Epic-native tools.
Partner with governance, compliance, and security teams to ensure data quality, privacy, and regulatory compliance.
UnityPoint Health is a healthcare system serving communities across Iowa, Illinois, and Wisconsin. Recognized as a Top 150 Place to Work in Healthcare, it fosters an inclusive culture and supports team members with development opportunities.
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.
Design, develop, and implement data science, statistical modeling, and machine learning solutions.
Analyze large, complex datasets to identify trends, patterns, and actionable insights.
Build dashboards and visualizations using Power BI and Tableau, and communicate findings to technical and non-technical audiences.
DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA, supporting public sector agencies and commercial enterprises globally. Recognized as a Top Workplace, DMI is committed to delivering secure, efficient, and cost-effective solutions that drive measurable results.
Build and maintain recurring reporting, dashboards, and data models that drive your business line.
Apply statistical and predictive modeling, A/B testing, and AI-first execution to deliver actionable insights.
Partner with business and data stakeholders to prioritize analytics and translate complex data into clear narratives.
Docplanner Group is a healthcare platform connecting 24 million patients with 280k doctors across 13 countries through brands like Doctoralia. With 3,000+ employees, it's an agile, hands-on culture focused on results, ownership, and learning.
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.
Build and deploy AI solutions that reduce administrative burden and improve care management.
Implement intelligent automation for scheduling, care plan updates, and post-visit tasks.
Integrate AI solutions with existing EHR and resident management systems while ensuring HIPAA compliance.
Curana Health is a national leader in value-based care for senior living communities and skilled nursing facilities, providing on-site primary care, ACOs, and Medicare Advantage plans. Founded in 2021, the company has over 1,000 employees and serves 200,000+ seniors across 32 states, with a culture focused on collaboration and improving senior care.
Design, build, and maintain scalable ETL pipelines and data models to support analytics and product needs.
Develop robust data integration workflows for seamless data exchange between internal and external systems.
Optimize cloud-hosted databases and ensure security and compliance with healthcare standards like HIPAA.
Chamber is rebuilding cardiology care by partnering with independent cardiologists and equipping them with technology, data, and operational tools. They blend clinical expertise, thoughtful design, and AI-forward innovation in an early-stage health tech culture.