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 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.
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.
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.
Partner with the Business Unit Lead to identify gaps in decisioning performance and implement solutions.
Build production machine learning models to identify fraud in collaboration with other data scientists.
Communicate complex ideas to a variety of audiences, from Customer Success to Sales.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with customers. Their advanced technology creates frictionless shopping experiences, and they are trusted by thousands of merchants across over 100 countries.
Cultivate deep understanding of clinical content and UM products to drive program effectiveness.
Lead clinical analytics projects with multi-disciplinary partners to build analytical solutions.
Independently conduct in-depth analyses using statistical modeling and data mining on healthcare data.
Cohere Health's clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. The company works with over 660,000 providers and handles over 12 million prior authorization requests annually.
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.
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.
Define and build the data science strategy for a new pet health data business unit.
Analyze complex multi-source datasets to build predictive models and commercial insights.
Partner with cross-functional teams to develop monetizable data products and ensure data integrity.
Destination Pet is a national network of pet-obsessed professionals dedicated to elevating the love and lives of pet families through total pet care. They are launching a new PE-backed business unit to build a data platform for the pet health ecosystem, backed by an established platform with startup agility.
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 ship ML and GenAI systems from research to production.
Communicate technical concepts clearly to non-technical stakeholders.
Foster an atmosphere of experimentation, continuous learning, and improvement.
Expel is a cybersecurity company that uses machine learning and generative AI to detect threats in customers' environments. They offer a small, highly transparent environment where your voice matters and decisions have direct impact.
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.
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.
Partner with PED and business units to drive analytics initiatives and understand user engagement.
Develop measurement frameworks, design experiments, and analyze user behavior in a two-sided marketplace.
Communicate insights to stakeholders and align cross-functional priorities on analytical roadmaps.
Peerspace is a leading online marketplace for venue rentals for meetings, productions, and events. With over $500M transacted and investors including GV, the company fosters an inclusive culture and values cross-functional 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.
Maintain and run recurring data processes, including GPAL, survey weighting, and model updates.
Build and improve statistical and predictive models using cloud-based datasets and AI tools.
Partner with Engineering and other teams to automate workflows and deliver insights.
Polco runs critical local government performance databases, including GPAL, which serves as a 'Bloomberg Terminal' for local government performance. The company serves roughly 400 premier US local governments across 50 states with a mission-driven culture.