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.
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.
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.
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.
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 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.
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.
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.
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.
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.
Lead end-to-end data science projects leveraging Azure Machine Learning, Databricks, and Power BI to extract insights from large datasets.
Build predictive models and develop complex algorithms, applying statistical and machine learning methods to solve complex business problems.
Act as a subject matter expert, delivering actionable guidance to stakeholders and collaborating with cross-functional teams to drive continuous improvement.
MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights through strategic solutions and industry intelligence. Established in 2002, it is one of the largest US-based Microsoft solution partners and a multiple Microsoft Partner of the Year and Inc. Best Workplaces award winner.
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.
Develop statistical models and machine learning algorithms to improve patient enrollment and trial management.
Build and optimize data pipelines and analytical workflows using AWS tools like Athena, Redshift, SageMaker, and dbt.
Ensure data science practices comply with HIPAA and GDPR while monitoring models for bias and performance drift.
Care Access brings clinical research and health services to communities worldwide through hundreds of research locations and mobile clinics. The company is dedicated to making healthcare more accessible and puts people at the heart of medical progress.
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.
Lead the design and implementation of scalable, production-grade Machine Learning systems in cloud environments.
Architect end-to-end ML solutions from data ingestion to deployment and monitoring, managing containerized workloads with Docker and Kubernetes.
Oversee large-scale data pipelines, drive model improvement, and provide technical leadership across ML initiatives.
Coforge is a global IT services company that delivers digital transformation and technology solutions. It focuses on hiring based on skills and qualifications, promoting an inclusive work culture.
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.
Own data strategy and execution for client deliverables in new sectors, driving accuracy, value, and efficiency.
Investigate and resolve data quality issues, implementing scalable fixes and maintaining workflows.
Operate as a player-coach, mentoring analysts and partnering cross-functionally with Data, Insights, Revenue, and Engineering teams.
YipitData is the leading market research and analytics firm for the disruptive economy, providing actionable insights from billions of alternative data points. With a valuation over $1B and a people-centric culture recognized as a Best Workplace for three consecutive years, the company operates globally across the US, APAC, and India.
Own commercial data products end-to-end, from methodology development and product QA to feature design and ongoing evolution.
Investigate complex data quality issues and build scalable monitoring, validation, and QA frameworks to improve quality while reducing manual effort.
Partner with Product Managers, Data Science, and Central Data to shape product evolution, evaluate new datasets, and turn customer feedback into durable improvements.
YipitData is the leading market research and analytics firm for the disruptive economy, using proprietary technology to analyze billions of alternative data points. We operate globally with offices in the US, APAC, and India, and our award-winning, people-centric culture emphasizes transparency, ownership, and continuous mastery, recognized by Inc. as a Best Workplace for three consecutive years.
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.
Design and build scalable data pipelines and dimensional data marts with cross-functional teams.
Drive adoption of AI tooling and self-service analytics across the company.
Contribute to data governance, security, and analytics engineering standards.
Mercury is a fintech company building an AI-native data platform that enables reliable analytics and AI-powered products. They value diversity and belonging, with a high-performing data team and an inclusive culture.
Analyze large, diverse datasets on business cash flow, credit, and repayment to identify product opportunities.
Partner with product and engineering to develop and commercialize data products and predictive models.
Lead Ocrolus’ analytics and data science efforts as a subject matter expert on SMB credit and mentoring.
Ocrolus is an AI platform for lenders, automating workflows with over 99% accuracy on nearly one million monthly credit applications. Trusted by 400+ customers, it is a remote-first team of builders and problem solvers.