Lead statistical modeling, AI/ML evaluation, and analytic decision support for VA EHR modernization and executive-facing analytics.
Design, evaluate, and explain statistical and machine learning models, including distributional assumptions, dimension reduction, and Bayesian methods.
Serve as a data governance and quality assurance point of contact, identifying defects and building reproducible analytics with R, SQL, Python, and Git.
Aptive Resources LLC partners with federal agencies to achieve their missions through improved performance, streamlined operations, and enhanced service delivery. Founded in 2012, the company has 300+ employees nationwide and focuses on technology, creativity, and human-centered services to optimize mission delivery.
Research, design, and develop advanced AI/ML solutions using generative AI and LLMs to improve operational efficiency.
Build, deploy, and maintain scalable AI applications across cloud and on-premises environments with MLOps practices.
Collaborate with stakeholders to translate business requirements into data-driven solutions and communicate technical concepts.
Edgewater Federal Solutions is a privately held government contracting firm that supports customer missions through employee empowerment and exceptional services. It is a small, award-winning company with ISO and CMMI certifications and a culture focused on employee empowerment.
Build and validate ML and AI models on claims and EHR data for care delivery use cases including risk stratification and care gap identification.
Support the development of LLM-based tools and AI applications for care team workflows.
Develop and maintain Python code for data processing, model development, and ML pipelines, following software engineering best practices.
Waymark is a mission-driven team of healthcare providers, technologists, and builders working to transform care for people with Medicaid benefits. We partner with communities to deliver technology-enabled, human-centered support that helps patients stay healthy and thrive.
Collaborate with cross-functional teams to enhance the Lyra platform and serve provider and client needs.
Become an expert in diverse data sources, building pipelines and applying clinical logic to raw data.
Extract actionable insights, develop predictive and generative models, and support product iterations with rigorous evaluation frameworks.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company has delivered more than 15 million sessions of mental health care and published over 35 peer-reviewed studies, with a culture focused on innovation and clinical effectiveness.
Design, build, and maintain automated AI evaluation pipelines for production LLM applications.
Develop prompt engineering strategies and evaluate model performance using quantitative methods.
Analyze production AI behavior with Python, SQL, and statistical techniques to identify improvement opportunities.
GovWorx provides an AI-powered platform, CommsCoach, that supports 9-1-1 and emergency communications centers by automating quality assurance, training, and real-time call evaluation. The company is a growing technology team focused on public safety, collaborating across AI, engineering, product, and data science.
Identify and map workflows to find step-change opportunities for AI automation.
Design and build future-state workflows using agents, integrations, and human-in-the-loop checkpoints.
Deploy and run agents in production, tracking KPIs and iterating on performance.
Natera is a global leader in cell-free DNA testing, focusing on oncology, women's health, and organ health. The company employs a diverse team of dedicated professionals from world-class institutions, fostering a collaborative and inclusive culture.
Hands-on design and development of AI product features for Veeva QualityDocs and Training
Design and deliver production AI Agent applications including data flow, orchestration, and prompts
Work with engineering and UX to automate key business processes using AI
Veeva Systems is a mission-driven pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. It is one of the fastest-growing SaaS companies in history, surpassing $3B in revenue, and operates as a public benefit corporation with a focus on customers, employees, society, and investors.
Designs, builds, and validates advanced analytics to turn pharmacy, claims, clinical, and member data into decisions.
Applies AI/NLP to analyze unstructured clinical and member text and automate clinical workflows.
Builds probabilistic matching logic for member identity resolution and produces clinical and pharmacy analytics.
AffirmedRx is on a mission to improve health care outcomes by bringing clarity, integrity, and trust to pharmacy benefit management. The company fosters a culture where people thrive, offering competitive compensation and benefits.
Engineer and operationalize technical AI governance controls across the full AI lifecycle, translating requirements into testable controls.
Lead technical assurance reviews for AI use cases, validating behavior and risk mitigations align with observed system behavior.
Partner with security, privacy, legal, and engineering teams to embed AI controls by design into development workflows.
HealthEquity is a healthcare technology company that empowers consumers to save and improve their lives through innovative financial solutions. The company has a strong culture of compliance and innovation, with a large workforce dedicated to making healthcare accessible.
Drive adoption of the agentic AI platform across departments, serving as technical SME and champion for rollout.
Establish AI financial observability by creating dashboards to track costs and optimize fiscal efficiency.
Govern AI vendor risk assessment and build repeatable IT operational workflows for long-term support.
Virta Health is on a mission to reverse metabolic disease in one billion people through innovations in technology, personalized nutrition, and virtual care. The company has raised over $350 million from top-tier investors and partners with major health plans, employers, and government organizations.