Healthcare Data Scientist

July 23

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Patient Engagement • Mobile Health • Healthcare Software • Patient Communication • Patient Messaging

51 - 200

💰 $250k Grant on 2020-07

Description

• Utilize advanced statistical and machine learning techniques to analyze healthcare data sets and extract actionable insights. • Develop predictive models and algorithms to identify trends, patterns, and correlations in healthcare data. • Evaluate and validate model performance using appropriate metrics and methodologies. • Lead ongoing tracking and monitoring of performance of decision systems and statistical models. • Develop ETL (extract, transform, load) specifications to go from raw data to research-ready datasets • Collaborate cross-functionally with stakeholders and leadership to design and implement data-driven solutions that address complex healthcare challenges. • Develop and drive adoption of enterprise-wide analytics to support strategic execution using prescriptive and predictive analytics with a focus on Healthcare access, Healthcare outcomes, and SDoH domains. • Engage and enable team members to access analytics to facilitate faster data-driven decision-making wherever and whenever they need it. • Analyze and incorporate external data sets that may augment the power of CareMessage internal data such as social determinants of health data, claims data, environmental data, outcomes data. • Interpret complex data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision-making. • Stay updated with the latest advancements in data science, healthcare analytics, and regulatory requirements to ensure compliance and relevance. • Job shadow other functional areas to learn from domain experts.

Requirements

• Proven experience as a Data Scientist with a focus on healthcare data analysis and modeling. • 3 - 8 years of experience in two or more programming languages such as SQL, Python, Scala, Java or R, and familiarity with data manipulation and visualization libraries/tools. • 3 - 8 years of experience in Statistical analysis, Data Modeling, Data Extraction, Data Mining, and Data Manipulation. • Solid understanding of machine learning techniques (e.g., regression, classification, clustering) and experience applying them to healthcare data. • Hands-on experience with healthcare data standards (e.g., HL7, FHIR), electronic health records (EHR) and other healthcare data sources. • Excellent problem-solving and analytical skills, with the ability to communicate complex data insights in a clear and accessible manner to stakeholders with varying levels of technical expertise. • The ability to identify key challenges, formulate data-driven solutions, and work with diverse stakeholders to implement those solutions. • Experience in working with sensitive patient data while ensuring compliance and data security. • A passion for using data science to drive positive change and make a meaningful difference in people's lives. • Strong people skills, specifically in collaboration and teamwork. • High level of curiosity, creativity, technical vision, and problem-solving capabilities; have a customer-first and learner’s mindset, and value teaching others. • Familiarity with big data tools and platforms