Staff AI Researcher

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🕒 May 26

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Aledade, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

⚕️ Healthcare Insurance

🏢 Enterprise

Healthcare Insurance • Enterprise

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.

📋 Description

• The Staff AI Researcher is responsible for developing advanced artificial intelligence solutions that improve health outcomes for millions of patients by empowering primary care physicians with technology that keeps patients healthy and prevents unnecessary hospitalizations. • The Staff AI Researcher collaborates with engineering and analytics teams to bring AI technologies into existing products and workflows. • Additionally, the role involves training, fine-tuning, and using AI models harnessing knowledge from extensive data sets of medical records, diagnoses, claims, and prescriptions collected from millions of patients across the country. • Primary duties include building working prototypes using off-the-shelf and novel AI techniques to deliver higher levels of optimization for the company; • working with large, complex data sets and solving difficult, non-routine analytical problems to harvest data; • redesigning existing pipelines and systems to meet growing data and query needs; • implementing techniques for fine-tuning and adapting pre-trained generative models to specific healthcare domains or tasks; • developing evaluation metrics and benchmarks to assess the quality and performance of AI/ML models; • designing and implementing feature engineering pipelines, including data processing, feature extraction, and transformation to optimize model performance; • setting and upholding standards for engineering processes, including style and code checking, test harnesses, and release packaging; • and delivering working proof-of-concept solutions that balance speed, scalability, and time-to-market considerations.

🎯 Requirements

• Must have a Master’s degree or foreign degree equivalent in Computer Science or a related quantitative field and six (6) years of machine learning and statistical analysis experience. • The position also requires demonstrated knowledge and experience with the following: three (3) years of deep learning and large language model experience; • three (3) years of Python experience; • three (3) years of proficiency in selecting the right tools given a data optimization problem; • addressing challenges from incomplete, unrepresentative, and mislabeled data; • and large-scale distributed systems at scale and statistical software (e.g., Spark).

🏖️ Benefits

• Flexible work schedules and the ability to work remotely are available for many roles • Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners • Robust time-off plan (21 days of PTO in your first year) • Two paid volunteer days and 11 paid holidays • 12 weeks paid parental leave for all new parents • Six weeks paid sabbatical after six years of service • Educational Assistant Program and Clinical Employee Reimbursement Program • 401(k) with up to 4% match • Stock options • And much more!