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Data Science Research Assistant Remote Jobs in Decatur, GA

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Data Science Research Assistant Remote information

See Decatur, GA salary details

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$30

How much do data science research assistant remote jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for data science research assistant remote in Decatur, GA is $21.39, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $24.86 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Research Assistant (Remote), and why are they important?

To thrive as a Data Science Research Assistant (Remote), a solid background in statistics, programming (Python or R), and data analysis, often supported by relevant coursework or a degree, is essential. Familiarity with data visualization tools (e.g., Tableau), databases (SQL), and platforms like Jupyter Notebook, as well as experience with machine learning libraries, is typically required. Strong problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills make candidates stand out. These competencies are crucial for managing complex data tasks, collaborating with team members virtually, and delivering reliable analytical insights.

What are common challenges faced by remote Data Science Research Assistants, and how can they be addressed?

Remote Data Science Research Assistants often encounter challenges such as maintaining clear communication with team members, managing time across different projects, and accessing necessary datasets or computing resources. Overcoming these hurdles typically involves leveraging collaboration tools like Slack or Zoom for regular check-ins, setting clear expectations with supervisors on deliverables, and ensuring secure, remote access to data and software. Proactively seeking feedback and participating in virtual team meetings can help foster a sense of connection and keep projects on track.

What is the difference between Data Science Research Assistant Remote vs Data Analyst Remote?

AspectData Science Research Assistant RemoteData Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in Data Analysis, Statistics, or related field
Work EnvironmentRemote research projects, academic or research institutionsRemote data interpretation and reporting for various industries
Employer & Industry UsageUniversities, research labs, tech companiesBusiness, finance, healthcare, marketing

While both roles involve working with data remotely, Data Science Research Assistants focus on research projects, often in academic or research settings, requiring a strong foundation in data science and statistics. Data Analysts typically analyze and interpret data for business insights across various industries. The roles share similar credentials but differ in their primary focus and work environment.

What are Data Science Research Assistants (Remote)?

A Data Science Research Assistant (Remote) is a professional who supports data scientists and research teams by collecting, cleaning, analyzing, and visualizing data, often from a remote location. Their responsibilities may include assisting with experiment design, performing statistical analyses, preparing datasets, creating reports, and helping to develop or test machine learning models. Working remotely, they utilize collaboration tools and cloud platforms to work efficiently with distributed teams. This role is ideal for individuals with strong analytical skills, programming knowledge (such as Python or R), and an interest in research and data-driven problem solving.
What are popular job titles related to Data Science Research Assistant Remote jobs in Decatur, GA? For Data Science Research Assistant Remote jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Data Science Research Assistant Remote jobs in Decatur, GA look for? The top searched job categories for Data Science Research Assistant Remote jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Data Science Research Assistant Remote jobs? Cities near Decatur, GA with the most Data Science Research Assistant Remote job openings:
Research Fellow/Trainee - Women's Health - Data Science - Health Information Technology - School ...

Research Fellow/Trainee - Women's Health - Data Science - Health Information Technology - School ...

Emory University

Atlanta, GA • On-site, Remote

Full-time

Posted 10 days ago


Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

161st of 873 rated healthcare providers


Job description

Discover Your Career at Emory University

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.

Description

The School of Nursing seeks a Research Fellow/Trainee to work on "Women's Health and Intersectionality Using Data Science and Health Information Technology. 

A full-time postdoctoral traineeship on an NIH funded T32 training grant entitled "Women's Health and Intersectionality Using Data Science and Health Information Technology". The purpose of this T32 program is to prepare nurse scientists who have knowledge and skills to employ data science (DS) and/or health information technologies (HIT) in order to advance health research using innovative methodological approaches. This training will build on the strengths of the Emory University Nell Hodgson Woodruff School of Nursing's currently funded research studies, faculty expertise, and supporting infrastructure. It will address health research questions with a methodological focus on DS and HIT applications. Trainees will develop knowledge and skills in interdisciplinary research methods, understand and apply DS and/or HIT methodologies, and develop and test interventions using these innovative approaches in health research. The program comprises: 1) specific courses related to DS and HIT methodologies; 2) electives to individualize training, develop an area of specialization, and facilitate trainees in interdisciplinary courses; 3) biweekly T32 seminars to foster trainees' integration of course content with other program experiences; 4) 15 hours a week of work on faculty research over several semesters; 5) at least one semester of individualized research practicum with center internships; and 6) participation in an interdisciplinary center on campus that relates to the trainee's research area. The program will engage 17 mentors and 6 interdisciplinary co-mentors. Over 10 research centers/institutes/departments have agreed to collaborate, making this a fully interdisciplinary training program focused on advancing methodological expertise in nursing science through innovative data science and health information technology approaches.

Trainees will be engaged in research activities, research training seminars, interdisciplinary research, preparation of grants, scientific manuscripts, and reports, and work closely with a mentor. The initial appointment is for one year, renewal is expected if progress is satisfactory and funds are available.

Requirements: Applicants to the T32 postdoctoral program must be a citizen or non-citizen national of the United States and must submit official transcripts from previous and/or current institutions and 3 reference letters. Applications to the post-doctoral program should be either enrolled in or graduated from a research-focused doctoral program at the time of application.

Postdoctoral applicants must submit their curriculum vitae and a brief description of their research goals including the next logical step in their research and research training, goals for research development including alignment with the goals of the T32, and interest in a faculty mentor; three letters of reference; and transcripts from their doctoral degree program.

NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University on a flexible weekly schedule based upon business needs.  Schedule is based on agreed upon guidelines of department. This role requires residency in the state of GA. Emory reserves the right to change remote work status with notice to employee.

Additional Details

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).

Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

Employment Type: FULL_TIME

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