Senior Data Scientist, Healthcare

Join Accompany Health and Make a Difference in Healthcare

Accompany Health is on a mission to provide low-income patients with complex needs the dignified, high-quality care they deserve. As a provider of primary, behavioral, and social care, we accompany patients throughout their care journey, offering at-home and virtual care, along with 24/7 support. By partnering with innovative payors, Accompany Health leverages exceptional care teams, cutting-edge technology, and evidence-based practices to improve patient outcomes.

We build long-term relationships with our patients, ensuring they know we are here for them day and night, year after year. We focus on the health outcomes that matter most to our patients, emphasizing their leadership in their own health journey.

About the Role: Senior Data Scientist, Healthcare

Accompany Health is looking for a Senior Data Scientist to join our growing product team. This mission-critical role will involve:

• Collaborating with product, engineering, clinical, and operations teams from diverse backgrounds
• Developing data, analytics, and AI/ML-enabled products to enhance healthcare access and delivery for marginalized populations

Key Responsibilities

• Champion data science across all functions, understanding primary business objectives and applying data science expertise
• Act as a thought partner across product, engineering, and clinical operations regarding all data-related projects
• Excel in understanding healthcare domain and related data assets (claims, EHR data, clinical notes, imaging) and ML/AI applications
• Build and maintain scalable data/feature engineering pipelines using tools like SQL, Spark, Python, and Feature Stores
• Implement and maintain ML & AI techniques for various healthcare business use cases, including healthcare utilization prediction, clinical segmentation, sentiment analysis, and NLP/LLMs applications
• Deploy models to production using AWS SageMaker with optimal model versioning and registries
• Develop a system for continuous, automated model experimentation, feedback, and optimization
• Contribute to process improvements and best practices within the data science team for transparency, reproducibility, and scalability
• Stay current with state-of-the-art methods, participate in regular working sessions, and mentor peers

Candidate Profile

You will be a great fit for our team if you:

• Approach your work with humility and flexibility, understanding the need to adapt to patients' complex needs
• Show empathy for patients, clinicians, and colleagues, aiming to change care delivery for marginalized patients
• Have the ability to align cross-functional stakeholders, both technical and non-technical
• Are driven by curiosity to excel in understanding data and analytic products, elevating your peers and the organization
• Focus on effective and efficient task completion, rather than rigid processes
• Have the resilience to address challenging problems in healthcare
• Are excited to work in a dynamic startup environment

Desired Skills and Experience

Required:

• 3-5 years of experience in health data science, ML, and AI
• Proficiency in data science/ML areas including statistics, causal inference, supervised and unsupervised machine learning algorithms, common LLMs (OpenAI, Claude 3, Llama 3), and prompt engineering
• Strong command of Python and data science/ML packages like Tensorflow or PyTorch
• Experience with data processing tools and technology for production-grade ML workflows (e.g., SageMaker Pipelines, Docker)
• Excellent analytical and problem-solving skills, with the ability to harmonize disparate data and present findings effectively
• Outstanding written and verbal communication skills
• Highly inquisitive, self-motivated, and attentive to detail

Preferred:

• Familiarity with software development life cycle and project management tools (e.g., Agile, JIRA)
• Understanding of value-based care, quality metrics, and clinical terminologies
• Experience with AWS cloud infrastructure

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