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Über
Would you like to contribute creatively to a large, meaningful mission? We are in the process of transforming healthcare. In particular, we are transforming the way that care givers across the country integrate information and make decisions. With a recent acquisition, we now have an unprecedented combination of scale and industry leading technology and talent to change the way we experience healthcare. Specifically designed with the size and scale to address the complexity of today's and tomorrow's healthcare system, we are a company committed to advancing medical benefits management – and enabling better outcomes for patients, providers, and plans. Ours is an evidence-based approach that leverages our exceptional capabilities, powerful analytics, and an acute sensitivity to the challenges and needs of everyone involved across the healthcare spectrum. Applying proven talent and leading-edge technology, we harness healthcare's evolving demand and inherent change to realize and deliver improved results for everyone. We leverage our deep evidence based knowledge and technology to deliver services and software solutions so healthcare payers and providers can deliver the best quality care. Our natural language processing (NLP) and machine learning (ML) platform replaces outdated manual processes with software-driven clinical reasoning. We are seeking highly creative and motivated post graduate and/or postdoctoral data scientists with exceptional skills who will complement our growing team. Our NLP platform coupled with large proprietary healthcare datasets and strategic vision of transforming decision making in healthcare require a state of the art machine learning platform. As a machine learning data scientist, you will: Design, develop, and prototype machine learning and statistical analysis techniques to automate clinical decision making, including deep learning, collaborative filtering, and other machine learning techniques to extract insights at scale from structured and unstructured electronic health record data and other healthcare data sources. Design and apply statistical techniques to evaluate and monitor the outcomes of automated clinical decision making at scale Help evolve our NLP platform, combining input from clinicians and other domain experts with state of the art NLP techniques Build data driven apps whose goals are to: translate data into intelligence, help transform the work of clinical decision making, quality reporting and pathway planning, and to help solve a variety of strategic business problems in healthcare. Assist business with causal inferences & observations providing data-driven business insights. Requirements: "Can do" attitude: you are biased towards action and ready to speak your mind Ph.D. in Computer Science, Mathematics, Statistics, Engineering, or a related field, or Master's degree with 3+ years of industry experience. Strong publication record and/or additional industry experience a plus Deep machine learning expertise. Experience with Deep Learning and/or Natural Language Processing algorithms and tools a strong plus. Experience with a diverse set of computing technologies: Python, Linux, Bash, SQL. High proficiency in Python a strong plus. Experience with Java/C++ a strong plus. Experience with big data frameworks (Hadoop, Spark, etc.) and/or NoSQL databases a plus Experience with healthcare data a plus Excellent organizational and communication skills What's in it for you, other than improving patient care? We carefully select really smart people and provide them with the autonomy to build great software. We recognize and reward based on merit, not titles. We have amazing views from our offices, lots of food, an espresso machine and other perks. But most of all we offer the chance to build your career with people like you who want to solve problems, and have fun together.
Sprachkenntnisse
- English
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