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Remote Health Informatics Data Analyst Jobs in Minnesota

Apex Systems

Principal Data Analyst

Minneapolis, MN · Remote

$50 - $53/hr

Job Title Principal Data Analyst Location IL950 - 100% Remote (Telecommute) Pay Range $50.00/hr ... Prior experience in healthcare analytics and Medicaid enterprise systems. Project Summary This role ...

Apex Systems

Sr Data Analyst

Eden Prairie, MN · On-site +1

$30 - $35/hr

Eden Prairie, Minnesota (Remote) Employment Type: Contract Duration : 6 months Role Overview A ... Analyze and process healthcare-related data. * Contribute to project requirements in a fast-paced ...

Intermountain Health

$48.76 - $76.76/hr

This role involves leading the development and deployment of data analytics at Intermountain Health. As a Data Analyst-Technical-Consultant, you will spearhead strategic initiatives, clinical ...

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What is the difference between Remote Health Informatics Data Analyst vs Remote Healthcare Data Specialist?

AspectRemote Health Informatics Data AnalystRemote Healthcare Data Specialist
Required CredentialsBachelor's in Health Informatics, Data Science, or related field; certifications like CPHIMS or CHDABachelor's in Health Information Management, Data Analytics; similar certifications
Work EnvironmentRemote, healthcare organizations, clinics, hospitalsRemote, healthcare providers, insurance companies, health tech firms
Industry UsageUsed for analyzing health data, improving patient outcomes, supporting clinical decisionsUsed for managing health data, ensuring data accuracy, compliance, and reporting

The Remote Health Informatics Data Analyst focuses on analyzing health data to improve clinical outcomes, while the Remote Healthcare Data Specialist manages and ensures the accuracy of health data. Both roles require similar credentials and often operate remotely within healthcare settings, but their core responsibilities differ in analysis versus data management.

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Remote Health Data Analyst & AI Trainer

Remote Health Data Analyst & AI Trainer

DataAnnotation

Virginia, MN • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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