Recent Healthcare Industry MUST| Data Engineer/Lead to work 100% remote | required to work in PST hours at Industry, Texas, USA |
Email: [email protected] |
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2054190&uid= Recent Healthcare Industry MUST Greetings from Global IT Con. LLC M y name is Suman Bakshi, and I am a Recruiter at Global IT Con LLC. I have an excellent job opening for the position of Data Engineer/Lead to work 100% remote So , if you are available in the job market, please go through the below job description and revert me back with your updated copy of resume. Job Description: Data Engineer/Lead Duration: 6-12 Months Location: Remote (US-based) Required to work in PST hours A Brief Overview The Data Engineer/Lead will be part of a team building solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role will be responsible for maintaining compute frameworks, analysis tooling, and/or model implementations used or created by the team. The individual will design, implement, and support data processing software and infrastructure. What you will do Build end-to-end data pipelines and infrastructure for ML models used by the Data Science team and others at SHC. Understand the requirements of data processing and analysis pipelines and make appropriate technical design and interface decisions. Elucidating these requirements will require training, developing, and validating researcher-built or vendor provided machine learning algorithms on hospital data as well as working with other members of the data science team. Understand data flows among the SHC applications and use this knowledge to make recommendations and design decisions for languages, tools, and platforms used in software and data projects. Troubleshoot and debug environment and infrastructure problems found in production and non-production environments for projects by the Data Science Team. Work with other groups at SHC and the Technology and Digital Solutions (TDS) group to ensure servers and system maintenance based on updates, system requirements, data usage, and security requirements Education Qualifications Bachelors or Masters degree in Computer Science, Engineering, or related, or equivalent working experience Bachelors or Masters degree in Computer Science, Engineering, or related, or equivalent working experience Experience Qualifications 2+ years experience in building data infrastructure for analytics teams, including ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments Experience with cloud deployment strategies and CI/CD Experience building and working with data infrastructure in a SaaS environment Preferred Knowledge, Skills and Abilities Knowledge of multiple programming languages, commitment to choosing languages based on project-specific requirements, and willingness to learn new programming languages as necessary. Knowledge of resource management and automation approaches such as workflow runners. Collaborative mentality and excitement for iterative design working closely with the Data Science team. Regards, Suman Bakshi -- Keywords: continuous integration continuous deployment artificial intelligence machine learning access management rlang information technology golang Recent Healthcare Industry MUST| Data Engineer/Lead to work 100% remote | required to work in PST hours [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2054190&uid= |
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10:57 PM 06-Jan-25 |