Healthcare Data Scientist

1 week ago

San Francisco, United States Advocate Full time

Advocate is a mission-driven technology company revolutionizing the way Americans access critical federal benefits. Our cutting-edge AI platform streamlines the application process, ensuring that every submission is complete, optimized, and tailored to the specific requirements of each federal program. Our innovative technology not only simplifies the process for applicants but also significantly reduces the administrative burden on federal agencies, enabling faster and more efficient eligibility determinations. The Applied AI Team Our Applied AI team is at the forefront of revolutionizing the government benefits application process through state-of-the-art AI technology. As a dynamic group of AI experts, we develop solutions that streamline the application process, enable faster decisions, and alleviate the burden on applicants and federal agencies. The Applied AI team operates at the intersection of research and real-world challenges, constructing solutions that harness the latest advances in AI. Our team members are actively involved in the AI research community, continuously staying abreast of the newest developments in both commercial and open-source AI. By combining cutting-edge AI techniques with a deep understanding of the government benefits domain, we build intelligent systems that simulate complex processes, improve decision-making, and ultimately make a positive impact on the lives of those navigating the intricacies of government benefits programs. The Opportunity We are seeking a Healthcare Data Scientist to play a pivotal role in enhancing our AI-driven platform with deep insights from healthcare data. In this role, you will build and apply ML and AI models to health care data. This is an exceptional opportunity for someone with a passion for data science and a desire to make a significant social impact. This role is ideal for someone who thrives in a dynamic, fast-paced environment and is eager to apply their healthcare data expertise to challenging problems with real-world implications. Join Us and Make a Difference We believe in the power of technology to drive positive change and promote fairness and equality in the distribution of federal assistance. By joining Advocate, you will have the opportunity to be part of a mission-driven team that is making a tangible impact on society. Our work is centered around the belief that every American deserves access to the benefits they have earned through their contributions to our nation. If you are passionate about leveraging cutting-edge technology to solve complex social challenges and are driven by the desire to make a meaningful difference in people's lives, Advocate is the perfect place for you. Join our talented and dedicated team as we work towards building a more equitable and inclusive society, one application at a time. Requirements

Educational Background:

Advanced degree (Ph.D. or Master's) in Biostatistics, Epidemiology, or a closely related field that emphasizes analytical skills, scientific thinking, and rigor. Exceptional candidates with a Bachelor's degree in a quantitative discipline and significant relevant experience in healthcare data analysis may also be considered. A strong educational foundation ensures a deep understanding of statistical methods, data analysis techniques, and their application in healthcare. Professional Experience:

A minimum of 3 years of professional experience in healthcare data analysis, with a demonstrated ability to extract meaningful insights from complex medical datasets. Hands-on experience in working with healthcare data is essential for success in this role. Technical Skills:

Proficiency in statistical programming languages and tools such as Python and R. Experience with Electronic Health Record Data and Systems:

Familiarity with the structure and peculiarities of healthcare data, particularly CCDA and FHIR, and related systems. Machine Learning Expertise:

Knowledge of machine learning techniques and their application in predictive modeling and analysis of healthcare data. Understanding how to leverage machine learning algorithms to uncover patterns, make predictions, and support data-driven decision-making in healthcare is a key requirement. Data Privacy and Security:

Strong understanding of privacy laws and regulations relevant to healthcare data, such as HIPAA. Experience in working with sensitive patient data while ensuring compliance and data security is essential. Communication Skills:

Excellent communication skills, with the ability to present complex data insights in a clear and accessible manner to stakeholders with varying levels of technical expertise. The ability to bridge the gap between technical and non-technical audiences is crucial for effective collaboration and impact. Agile Development Experience:

Experience in an agile development environment is preferred, with a proven track record of working collaboratively with cross-functional teams to drive projects to completion. Familiarity with agile methodologies ensures the ability to adapt to changing requirements and deliver results in a fast-paced environment. Problem-Solving Skills:

A collaborative problem solver, adept at working across teams to integrate data-driven insights into practical applications. The ability to identify key challenges, formulate data-driven solutions, and work with diverse stakeholders to implement those solutions is essential. Continuous Learning:

Curious and innovative, always looking to learn more about the latest in data science and healthcare technology to drive advancements in the field. Staying up-to-date with emerging trends, techniques, and best practices in healthcare data analysis is crucial for staying at the forefront of the field. Impact-Driven Mindset:

Committed to social impact, motivated by the chance to improve the lives of individuals navigating the government benefits system. A passion for using data science to drive positive change and make a meaningful difference in people's lives is a key motivator for this role.

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