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Healthcare Machine Learning Data Analyst Jobs (NOW HIRING)

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

Nordic

... machine learning, data science, and other artificial intelligence techniques to design, prototype and build next generation advanced analytics engines and services to solve complex healthcare ...

Stryker Corporation

Data Analyst

Dover, VT · On-site

Ensure data integrity and accuracy throughout the analysis process. Requirements * A degree in Data ... Prior experience in a similar role within the healthcare industry. * Knowledge of machine learning ...

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

Big Data Analytics - Deep understanding of the domain or industry in which the machine learning ... comprehensive compensation and healthcare packages, 401k matching, paid time off, and ...

Prolog Inc.

Senior Data Analyst

Huntsville, AL · On-site

$89K - $112K/yr

The Senior Data Analyst will serve as the technical lead for data mining, statistical modeling, machine learning, and business intelligence development. This position is responsible for transforming ...

Catawiki

The Data Team, which covers the full data spectrum of Machine Learning, Analysis and Data Engineering, has a clear a mission within Catawiki: Why : We believe that by using data in a smart way, we ...

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Healthcare Machine Learning Data Analyst information

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How much do healthcare machine learning data analyst jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for healthcare machine learning data analyst in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $42.31 per hour, depending on experience, location, and employer.

What does a Healthcare Machine Learning Data Analyst do?

A Healthcare Machine Learning Data Analyst is responsible for analyzing large volumes of healthcare data and applying machine learning techniques to uncover patterns, predict outcomes, and support decision-making. They collaborate with doctors, researchers, and IT professionals to build and refine models that can improve patient care, optimize hospital operations, or support medical research. Their work often involves preparing datasets, selecting appropriate algorithms, interpreting results, and communicating findings to stakeholders.

What are the key skills and qualifications needed to thrive as a Healthcare Machine Learning Data Analyst?

To thrive as a Healthcare Machine Learning Data Analyst, you need a strong foundation in statistics, data analysis, and machine learning, typically supported by a degree in computer science, data science, or a related field. Proficiency with programming languages like Python or R, experience with data visualization tools, and familiarity with healthcare data systems and regulations (like HIPAA) are essential. Strong analytical thinking, attention to detail, and effective communication skills help you translate complex data findings into actionable healthcare insights. These skills are crucial for ensuring accurate data-driven decisions that improve patient outcomes and support organizational goals.

What are some common challenges faced by Healthcare Machine Learning Data Analysts when working with medical data?

Healthcare Machine Learning Data Analysts often encounter challenges such as dealing with incomplete or inconsistent medical records, ensuring patient data privacy, and understanding complex healthcare terminologies. The sensitive nature of health data requires strict adherence to regulations like HIPAA, which can limit data access and sharing. Additionally, analysts must collaborate closely with clinicians and IT professionals to correctly interpret data and ensure that analytical models are both accurate and clinically meaningful.

What are popular job titles related to Healthcare Machine Learning Data Analyst jobs?

For Healthcare Machine Learning Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Healthcare Machine Learning Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,642 per year, or $37.3 per hour.

Machine Learning Engineer

Carlsbad, CA • On-site

NTENT
See more jobs at NTENTexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Carlsbad office
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.

Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.

The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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