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From Home Embedded Machine Learning Jobs in Nebraska

GE HealthCare

Research Intern

Bellevue, NE · On-site

$45 - $57/hr

From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we're committed to leading digital transformation ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we're committed to leading digital transformation ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we're committed to leading digital transformation ...

Sandhills Global

Data Scientist

Lincoln, NE · On-site

Sandhills Global is seeking a Data Scientist to analyze data from current and future products and services. The role involves developing statistical and machine learning models, visualizing insights ...

Nerdy

Sales Representative (Work from Home)

Omaha, NE · Remote

Applying consultative selling techniques to uncover needs and recommend tailored learning solutions ... AI-Native at every level From the CEO to day-one hires, everyone builds and ships with generative ...

Nerdy

Applying consultative selling techniques to uncover needs and recommend tailored learning solutions ... AI-Native at every level From the CEO to day-one hires, everyone builds and ships with generative ...

DataAnnotation

Android Software Engineer

Lincoln, NE · On-site +1

$40/hr

... machine learning engineers--to create and solve coding challenges, build beautiful apps, and ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

Varsity Tutors

Data Science Tutor

Omaha, NE · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... students from introductory data literacy through advanced analytics and machine learning ...

Varsity Tutors

Data Science Tutor

Lincoln, NE · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... students from introductory data literacy through advanced analytics and machine learning ...

Instinct

HPP Machine Operator

Lincoln, NE

$15 - $17.75/hr

... learning and improvement. Our home office is located in St. Louis, Missouri with our Center of ... Ability to operate machinery * Ability to troubleshoot machine issues * Ability to read and ...

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From Home Embedded Machine Learning information

What jobs make 3000 a month without a degree?

In the field of embedded machine learning, entry-level roles such as remote data annotators, AI support specialists, or freelance machine learning assistants can earn around $3,000 per month without a degree, especially with relevant skills in programming, data handling, and familiarity with tools like Python or TensorFlow. These positions often require self-learning, online certifications, or prior experience working with embedded systems and AI models remotely.
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From Home Embedded Machine Learning jobs near you
Research Intern

Research Intern

GE HealthCare

Bellevue, NE • On-site

$45 - $57/hr

Full-time

Posted 5 days ago

GE HealthCare rating

8.5

Company rating: 8.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

61st of 415 rated machine equipment manufacturers

Job description

Job Description Summary
We're looking for undergraduate science major students, preferably from biology, statistics, or computer science, with strong statistical and computational skills who are passionate about applying data science and quantitative methods to advance medicine and healthcare. You will work with leading researchers and domain experts to analyze complex biological and clinical datasets, contribute to cutting-edge research, and support the development of next-generation data-driven solutions in healthcare.
Our research agenda includes, but is not limited to:
• Analysis of large-scale biological and clinical datasets (e.g., genomics, medical imaging, electronic health records)
• Application of statistical modeling and machine learning to understand disease mechanisms and progression
• Integration of multimodal data for improved diagnosis, patient stratification, and outcome prediction
• Data-driven approaches to support clinical decision-making and healthcare efficiency
• Reproducible and responsible data science (e.g., interpretability, robustness, and bias awareness)
Job Description
Key Responsibilities:
  • Analyze large-scale biological and healthcare datasets using statistical and computational methods
  • Apply statistical modeling techniques and, where appropriate, machine learning approaches to support research questions
  • Contribute to the design and development of machine learning models (including exposure to deep learning and LLM-based approaches) to support automation of clinical or research tasks using data such as medical images, electronic health records, waveforms, and clinical reports
  • Write and maintain code in R and/or Python for data cleaning, transformation, analysis, and visualization
  • Perform statistical validation, error estimation, and interpretation of model and analysis results across diverse datasets
  • Assist in building prototypes and reproducible workflows that support scalable, high-quality research and algorithm development
  • Collaborate with researchers to translate biological and clinical questions into quantitative analyses and data-driven solutions
  • Support the exploration and evaluation of new methodologies, tools, and technologies in data science, machine learning, and healthcare applications
  • Contribute to preparation of research outputs, including visualizations, reports, and potential publications

Basic Qualifications:
  • Currently enrolled in a Bachelor's degree in Biology, Biostatistics, Bioinformatics, or a related field
  • Strong foundation in statistics (e.g., hypothesis testing, regression, data analysis)
  • Proficiency in R and/or Python for data analysis
  • Familiarity with at least one area of machine learning concepts such as Computer Vision, Deep Learning, or Algorithmic Foundations of Optimization
  • Experience working with large datasets and data wrangling techniques
  • Ability to interpret and communicate quantitative results in a biological or clinical context
  • Strong problem-solving skills and ability to work under research supervision

Preferred Qualifications:
  • Exposure to machine learning or AI concepts (e.g., classification, clustering, predictive modeling)
  • Familiarity with biological or clinical data types (e.g., genomics, imaging, EHR data)
  • Experience with data visualization tools (e.g., ggplot2, matplotlib, seaborn)
  • Knowledge of reproducible research practices (e.g., version control, scripting workflows)
  • Interest in contributing to research publications or presentations.

At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our customers: all aspects of intelligent computing services across the cloud and. Sitting within the centralized Science & Technology organization, our AI org is harnessing the power of AI to make healthcare more precise, more personalized, and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we're committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits.
As an AI research intern at GEHC, you get to work on the most cutting-edge and exciting projects. You will have access to petabytes of data, state of the art computing resources, and professional support from domain experts.
The pay rate for this position is $45-57hr.
We will not sponsor individuals for employment visas, now or in the future, for this job opening.
Additional Information
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No

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