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Remote Master Health Science Jobs in Alaska (NOW HIRING)

DataAnnotation

Data Science Consultant

Juneau, AK · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS ...

DataAnnotation

Decision Scientist

Juneau, AK · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant ...

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What are the key skills and qualifications needed to thrive as a Remote Master Health Science, and why are they important?

To thrive as a Remote Master Health Science professional, you typically need an advanced degree in health sciences or a related field, strong analytical abilities, and expertise in public health research or administration. Proficiency with data analysis software (such as SPSS or SAS), telehealth platforms, and project management tools is often required. Exceptional communication, self-motivation, and organizational skills are crucial for effective remote work and interdisciplinary collaboration. These competencies ensure high-quality research, program management, and impactful health initiatives in a virtual environment.

How do Remote Master Health Science professionals typically collaborate with interdisciplinary teams despite working offsite?

Remote Master Health Science professionals often use digital tools such as video conferencing, project management platforms, and secure data-sharing systems to collaborate with interdisciplinary teams. Regular virtual meetings and clear communication protocols ensure that everyone stays informed and aligned on project goals. Building strong digital relationships and proactively engaging with team members helps overcome the challenges of remote work, fostering effective teamwork across locations and disciplines.

What is a Remote Master Health Science professional?

A Remote Master Health Science professional is someone who has completed a master's degree in health science and works remotely, often in areas such as healthcare administration, public health, research, education, or policy development. These professionals use their advanced knowledge to manage projects, analyze health data, develop health programs, or support clinical research—all from a remote setting. Their work helps improve healthcare systems, influence public health outcomes, and support evidence-based decision-making without the need for a traditional office or laboratory environment.

What is the difference between Remote Master Health Science vs Remote Health Informatics Specialist?

AspectRemote Master Health ScienceRemote Health Informatics Specialist
Required CredentialsMaster's in Health Science, certifications like CPHQBachelor's or Master's in Health Informatics, certifications like CAHIMS
Work EnvironmentRemote, healthcare organizations, research institutionsRemote, healthcare IT companies, hospitals
Industry UsageHealthcare administration, policy, researchHealthcare IT, data management, electronic health records

Remote Master Health Science professionals focus on healthcare management, policy, and research, often requiring advanced degrees and certifications. In contrast, Remote Health Informatics Specialists concentrate on healthcare data systems, electronic records, and IT solutions. Both roles are remote and industry-specific but differ in their core focus and required credentials.

What are popular job titles related to Remote Master Health Science jobs in Alaska? For Remote Master Health Science jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Remote Master Health Science jobs in Alaska look for? The top searched job categories for Remote Master Health Science jobs in Alaska are:
What cities in Alaska are hiring for Remote Master Health Science jobs? Cities in Alaska with the most Remote Master Health Science job openings:
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Remote Data Science Consultant & AI Trainer

Remote Data Science Consultant & AI Trainer

DataAnnotation

Juneau, AK • 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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