Data Science Lead

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $130k - $170k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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ASRT, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🏥 Healthcare

📦 Logistics

🏭 Manufacturing

Healthcare • Logistics • Manufacturing

ASRT, Inc. is a company focused on applied science, research, and technology with a mission to partner for global healthcare advancements through research collaboration. They prioritize improving health and well-being by providing high-quality customer service and solutions. ASRT, Inc. operates laboratories, including the ASRT Learn Platform, Bioinformatics Laboratory, and Omics Laboratory, to support their scientific and technological goals. The company aims to enable their clients to achieve their objectives in a timely and cost-effective manner.

📋 Description

• Lead assessment of CDC data, analytical, and information-system requirements • Recommend modern analytical and computational architectures • Provide senior guidance on data science, analytics, machine learning, visualization, cloud, and CDC-approved AI approaches • Support integration and modernization of data systems and enterprise services • Advise on scientific-data curation, metadata, provenance, lineage, governance, and stewardship • Design strategies for management and analysis of large healthcare datasets • Advise on cloud-based and distributed analytical environments • Support development and implementation of enterprise data and metadata standards • Provide technical leadership concerning clinical-data interoperability and common data models • Guide development, validation, and management of electronic phenotypes and clinical case definitions • Support use of EHR, claims, clinical, pharmaceutical, and commercial healthcare datasets for public-health surveillance • Collaborate with CDC technical governance, leadership, epidemiologists, statisticians, and scientific stakeholders • Develop roadmaps for enterprise data, analytics, and knowledge-management systems • Evaluate technical problems and recommend corrective actions • Ensure technical solutions align with CDC enterprise platforms, governance, architecture, and security requirements • Support migration from siloed analytical environments into enterprise capabilities where appropriate

🎯 Requirements

• Master’s degree in Health Informatics, Data Science, Epidemiology, Statistics, Economics, or related discipline • Minimum 8 years of progressively responsible data science, Health Informatics, analytics, healthcare-data, or information-systems experience • At least five years of relevant data analysis experience • Significant experience using R, Python, and SQL • Experience managing and analyzing large healthcare datasets • Demonstrated knowledge of healthcare interoperability standards, including HL7 and FHIR • Experience with healthcare common data models • Experience with Power BI or comparable visualization platforms • Experience with cloud-based analytics • Experience translating technical/data-science requirements into recommendations for scientific or executive stakeholders • Complex data analysis, data quality management, reporting, dashboards or visualization, data definitions and business rules, and communication of analytical results • Excellent oral and written communication skills in English • Must be a United States citizen or permanent resident or have authorization for employment in the United States • Python, R, and SQL advanced proficiency • Familiarity with distributed-computing technologies, large relational databases, metadata/catalog/governance tools, and EDAV/1CDP • Knowledge of NIST/FISMA/FedRAMP requirements in Federal data environments desirable