Analytics Engineer

🕒 Julho 28

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.000 - $150.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Engenheiro de Analytics

👻 Score fantasma 27%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Dandelion Health

SiteLinkedInTodas as Vagas

2 - 10 funcionários

Fundada em 2020

🏥 Saúde

🤖 Inteligência Artificial

☁️ SaaS

Healthcare • Artificial Intelligence • SaaS

A Dandelion Health é uma empresa de IA clínica e dados do mundo real que acelera o desenvolvimento clínico e a comercialização ao combinar ferramentas de IA proprietárias com grandes conjuntos de dados multimodais de pacientes. Sua Plataforma de Medicina de Precisão e Marketplace de IA Clínica conectam notas clínicas, imagens e formas de onda de milhões de registros de pacientes para fornecer insights longitudinais de nível regulatório para as ciências biológicas e pesquisa clínica (exemplos mencionados incluem pesquisa cardiometabólica e GLP‑1 e uma parceria com o Laboratório de Avaliação de IA da AHA). A empresa se posiciona como uma plataforma/provedora de modelos de IA clínica validados e dados do mundo real multimodais para apoiar P&D, avaliação regulatória e geração de evidências comerciais.

Descrição

• Querying complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to identify and map data elements in order to create high-quality datasets to support training AI algorithms and conducting in-depth analyses of patient journeys • Developing and maintaining data transformation pipelines using dbt and Snowflake, ensuring data quality, lineage, and transparency. • Harmonizing multimodal data from multiple health systems into a unified ontological layer ready for use by data scientists and AI developers, with input from clinical experts across the company. • Performing complex data extraction, manipulation, and summarization of large databases to create analytical data models; • Implementing data quality tests, CI/CD and version control best practices for analytics codebases throughout the data modeling pipeline. • Supporting software engineers in optimizing processes and technical solutions for de-identification and ETL of clinical data from disparate health system cloud environments to Dandelion Health’s data warehouse. • Working with experts in natural language processing (NLP) to structure and model discrete clinical concepts data that have been abstracted from unstructured and semi-structured text data. • Collaborating with technical and clinical subject matter experts and Dandelion customers to translate research and model requirements into engineering solutions.

🎯 Requisitos

• Bachelor’s degree in a quantitative field (ex. Data Science, Biomedical Informatics, Computer Science, Biostatistics) • 3+ years of experience in analytics or data engineering roles where you are responsible for hands-on cleaning and structuring clinical and electronic health record data • Strong dbt and SQL proficiency: writing reusable Jinja macros, implementing custom tests, and comfortable with multi-environment deployments (dev/staging/prod) • 1+ years of experience with extracting, curating, and analyzing data created within the HIT and healthcare delivery ecosystem (e.g., EMR, claims, registry); this may include knowledge of the roles of data exchange and content standards (e.g., FHIR, CDA, CQL) and clinical terminology standards (e.g., ICD, CPT, LOINC, SNOMED-CT, NDC, RxNorm) • Comfort working in a cloud environment (ideally Snowflake and/or AWS). • Proficiency with Git and version control workflows • Is an advocate for bringing software engineering best practices (modularity, unit testing, concise and well-documented code) to a data science team. • Comfortable with ambiguity and creative problem-solving in a fast-paced, rapidly growing startup environment. • Excellent communication skills to advocate for the value of robust analytics engineering solutions and translate customer needs into data solutions. • Passion for improving healthcare and building infrastructure that makes research and clinical AI safer, faster, and more reliable.

🏖️ Benefícios

• Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum • Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details • Professional development days to build your skills • Collegial work environment • Academic bent towards inquiry and problem solving but start-up speed and flexibility • Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively • Dandelion is a mission-driven company that is focused on improving patient care

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo