Senior ML/AI Researcher - ML and AI modeling

April 2

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Aledade, Inc.

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Aledade, Inc. is a public benefit corporation that operates as the largest network of independent primary care practices in the United States. The company specializes in Accountable Care Organizations (ACOs), which help primary care practices and health centers improve patient outcomes and generate sustainable revenue through value-based care solutions. Aledade offers data insights, support, and business solutions to achieve sustainability and clinical autonomy. It collaborates with a wide range of healthcare providers, including primary care practices, community health centers, and network ACOs, ensuring improved quality of care and patient satisfaction. With operations in 45 states and affiliations with over 20,000 clinicians serving more than 2. 5 million patients, Aledade is committed to reducing care fragmentation and enhancing the overall quality of life for clinicians and patients alike.

Accountable Care Organizations (ACOs) • Health Information Technology • Data Analytics • Physician Collaborations

501 - 1000 employees

Founded 2014

⚕️ Healthcare Insurance

🏢 Enterprise

📋 Description

• As a Senior ML/AI Researcher II, you will develop ML and AI solutions that will improve health for millions of people. • At Aledade, we empower primary care physicians with technology to keep their patients healthy and prevent unnecessary hospitalizations. • You will collaborate with engineering and analytics teams to integrate AI technology into existing products and workflows. • You will work with one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions. • This role offers a unique opportunity to train, fine-tune, and use AI models using medical data collected from millions of patients across the country.

🎯 Requirements

• BA/BTech in Statistics, Data Science, Computer Science or a related field required. • 6+ years of relevant statistical analysis experience. • 6+ years of relevant machine learning experience (ML modeling, hyperparameter tuning, feature engineering, model validation etc) • Understanding of causal inference and treatment effects estimation. • 3-5 years of experience selecting, implementing, and optimizing ML tools and frameworks for large-scale projects. • 2+ years of Python language experience. • 1+ years of relevant deep learning and LLM experience. • 1+ years experience working with large-scale distributed systems at scale and statistical software (e.g. Spark). • Experience in addressing challenges from incomplete, unrepresentative, and mislabeled data. • Contributions to the field (e.g., publications, patents, or successful large-scale implementations).