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Senior Data Scientist – Remote Consultant

Jobot Consulting

Glendale (AZ)

Remote

USD 100,000 - 125,000

Full time

30+ days ago

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Job summary

An innovative healthcare system is seeking a remote Senior Data Scientist to join their team. In this exciting role, you will leverage your expertise in machine learning and artificial intelligence to derive insights from vast datasets, contributing to clinical and healthcare research outcomes. You will collaborate with researchers to design analysis specifications and implement state-of-the-art algorithms, while also exploring creative uses of AI in healthcare. This long-term consulting opportunity offers the chance to work on impactful projects that drive advancements in healthcare. If you're passionate about data and AI, this role is perfect for you!

Benefits

Remote consulting role
Long term contracts with options to extend

Qualifications

  • Experience in designing and implementing AI algorithms.
  • Proven ability to derive insights from large datasets.

Responsibilities

  • Derive insights from patient and environmental data in the data warehouse.
  • Develop and implement AI algorithms for healthcare research.

Skills

Machine Learning
Statistical Analysis
Artificial Intelligence
Data Analysis
Data Cleaning

Education

Bachelor's Degree in Computer Science
Master's Degree in Artificial Intelligence

Tools

Data Warehouse
AI and Data-Centric Tools

Job description

Senior Data Scientist – Remote Consultant

This range is provided by Jobot Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$74.00/hr - $85.00/hr

Job details

This Jobot Consulting Job is hosted by Ashley Elm.

Salary $74 - $85 per hour.

A Bit About Us

West coast based healthcare system is looking to add a remote Sr. Data Scientist consultant to their team. Apply today to learn more about this 12+ month consulting role opportunity.

To be considered, candidates must reside in PST, MTN, or CST time zones.

Why join us?
  • Remote consulting role!
  • Long term contracts with options to extend.
Requirements
  • Creative machine learning and statistical analyses are required.
  • Experience in design, develop, and implementation of artificial intelligence algorithms, and have built scalable production systems focused on clinical and health care research outcomes.
  • Bachelor’s Degree in computer science, artificial intelligence, informatics or closely related field, Masters preferred.
Job Description
  • The Data Scientist will derive insights from the vast amounts of patient and environmental data available within our data warehouse.
  • The incumbent will work closely with researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results.
  • The incumbent will develop and implement algorithms on existing data warehouse records and may nominate new external data sources to be ingested to the data warehouse to strengthen analyses.
  • Analyses will address a wide variety of clinical and research outcomes.
  • The incumbent will research and implement state-of-the-art AI algorithms, apply off-the-shelf AI and data-centric tools, and collect, store, and maintain data.
  • The successful candidate will have demonstrated competence in developing highly scalable artificial intelligence systems with multiple dependencies across teams.
  • Develop, test, and install new software applications, and enhance functionality of existing applications, for artificial intelligence and machine learning.
  • Design, develop, and implement artificial intelligence algorithms, and build scalable production systems focused on clinical and research outcomes.
  • Identify creative uses of artificial intelligence and potential artificial intelligence innovations in health care research.
  • Collaborate with a team of programmers and informatics experts to address emerging client needs.
  • Collect and manage new datasets with bearing on artificial intelligence analyses of healthcare data.
  • Create new experimental frameworks to collect data, build tools to automate data collection.
  • Correlate similar data to find actionable results and search through large data sets for usable information.
  • Create reports and presentations on analysis results.
  • Remain current on trends in informatics, machine learning, and artificial intelligence for healthcare.
  • Other duties as assigned.

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