Healthcare Machine Learning Engineer- Cerner

  • Los Angeles, CA
  • Posted 7 hours ago | Updated 2 hours ago

Overview

On Site
USD 160,000.00 - 176,000.00 per year
Full Time

Skills

Healthcare Information Technology
Life Insurance
Cerner
Collaboration
Artificial Intelligence
Privacy
Mentorship
Epic
Algorithms
Programming Languages
Python
R
Data Visualization
Tableau
Microsoft Power BI
Problem Solving
Conflict Resolution
Communication
Computer Science
Data Science
Statistics
Health Care
Machine Learning (ML)
Genetics
Authorization
Law
LOS
Recruiting

Job Details

Machine Learning Engineer- Cerner/Epic Remote 12+ months

This Jobot Job is hosted by: Robert Reyes
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $160,000 - $176,000 per year

A bit about us:

100% Remote 12+ month remote contract
Looking for a strong Machine Learning Engineer- Cerner/Epic Remote 12+ months

Apply today to learn more about this 12+ month consulting role.

Why join us?

100% Remote 12+ month remote contract
Looking for a strong Machine Learning Engineer- Cerner/Epic Remote 12+ months
Apply today to learn more about this 12+ month consulting role.
Competitive W2 or C2C contract rates
Work with a high perform EMPO within a leading HIT setting.
Competitive Salary$$
Stellar Benefits (Medical, Dental Vision, Life Insurance)
Flexible Schedule
Job Stability
Career growth
The position offers a competitive salary
If you are passionate, thrive in a fast-paced environment and are ready to take your career to the next level, we would love to hear from you.

Job Details

Job Details:

We are currently seeking a dynamic and dedicated Permanent Healthcare Machine Learning Engineer to join our team at Cerner in the Tech Services industry. This is a unique opportunity to apply your skills in epic and consultancy to revolutionize healthcare technology. The ideal candidate will have a passion for machine learning and artificial intelligence, with a keen interest in healthcare. You will be at the forefront of cutting-edge technology, developing and deploying machine learning models to improve patient care and outcomes.

Responsibilities:

As a Permanent Healthcare Machine Learning Engineer, you will:

1. Collaborate closely with a team of data scientists, engineers, and healthcare professionals to develop and implement machine learning models and algorithms.
2. Apply your expertise in epic and consultancy to understand healthcare data and processes, identify opportunities for improvement, and implement solutions.
3. Stay abreast of the latest developments in machine learning and artificial intelligence, and apply these to your work.
4. Validate and fine-tune machine learning models to ensure their accuracy and reliability.
5. Conduct regular reviews and analyses of the performance of deployed models, and make necessary adjustments.
6. Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.
7. Adhere to all relevant regulations and standards in healthcare and data privacy.
8. Provide mentorship and guidance to junior team members.

Qualifications:

To be considered for this exciting opportunity, you will need:

1. A minimum of 5 years of experience in machine learning, data science, or a related field.
2. Proven experience with epic and consultancy.
3. A strong understanding of machine learning algorithms and principles.
4. Proficiency in programming languages such as Python or R.
5. Experience with data visualization tools such as Tableau or Power BI.
6. Knowledge of healthcare data and processes.
7. Strong problem-solving skills and the ability to think critically and creatively.
8. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
9. A Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. A Master's degree or PhD would be highly advantageous.
10. A passion for healthcare and a desire to make a positive impact on patient care and outcomes.

Join us in transforming healthcare with machine learning. Apply today to become a part of our dynamic team.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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