ZipRecruiter

Log In

2

Remote Health Research Jobs (NOW HIRING)

Sentara

Senior Healthcare Data Analyst

Virginia Beach, VA · Remote

$80.20K - $133.68K/yr

This position is fully remote! Overview The Senior Healthcare Data Analyst serves as a key member of the Research Analytics and Data Literacy (RAD) team within Sentara Enterprise Analytics ...

Uw

Research Scientist (Temporary), RGUD

Olympia, WA · On-site +1

This role involves leading research design, mentoring junior staff, and contributing to peer ... Health at the University of Washington. This position is eligible to work fully remote in the US ...

Truveta

Partner Research & Success Manager

Seattle, WA · On-site +1

Partner Research & Success Manager Truveta is the world's first health provider led data platform ... remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health ...

Tilda Research

We are based in India and USA and this position will be fully remote, working from home. You will ... health innovation. We are a San Francisco based startup, backed by leading venture funds and ...

next page

Showing results 1-20

People also search for

All JobsRemote Health Research Jobs

Remote Health Research information

What is a Remote Health Research job?

A Remote Health Research job involves conducting studies, analyzing data, and evaluating healthcare trends from a remote location. Professionals in this field work for universities, healthcare organizations, or research institutions, focusing on topics like public health, medical treatments, or disease prevention. They may design surveys, interpret clinical data, and collaborate with teams virtually. Strong analytical skills, knowledge of research methodologies, and proficiency in data management tools are essential. This role allows for flexibility while contributing to advancements in healthcare and medicine.

What are the key skills and qualifications needed to thrive in the Remote Health Research position, and why are they important?

To thrive in Remote Health Research, you need a strong background in public health or biomedical sciences, data analysis expertise, and relevant research experience, often supported by an advanced degree. Familiarity with statistical software (such as SPSS, R, or SAS), online survey platforms, and compliance tools like HIPAA is essential. Excellent written and verbal communication, time management, and self-motivation are key soft skills for success. These skills enable remote researchers to collect, analyze, and interpret health data accurately while collaborating effectively with distributed teams.

What are some typical daily responsibilities for someone working in Remote Health Research?

Daily responsibilities in Remote Health Research often include designing and managing research studies, collecting and analyzing health-related data, and preparing detailed reports or presentations of findings. You may also be tasked with conducting literature reviews, developing surveys or questionnaires, and ensuring compliance with ethical and regulatory standards. Regular virtual meetings with research teams, collaborators, or stakeholders are common, and clear documentation is key. The remote nature of the role requires strong organizational habits and comfort working independently while maintaining communication with the broader team.
More about Remote Health Research jobs
What cities are hiring for Remote Health Research jobs? Cities with the most Remote Health Research job openings:
What are the most commonly searched types of Health Research jobs? The most popular types of Health Research jobs are:
What states have the most Remote Health Research jobs? States with the most job openings for Remote Health Research jobs include:
What job categories do people searching Remote Health Research jobs look for? The top searched job categories for Remote Health Research jobs are:
Remote Health Research jobs near you
Infographic showing various Remote Health Research job openings in the United States as of May 2026, with employment types broken down into 17% Locum Tenens, 66% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution.
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

Apply