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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=
[email protected]
View All
10:57 PM 06-Jan-25


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