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Trainee Data Science Apprenticeship Jobs (NOW HIRING)

Data Scientist

San Diego, CA · On-site

$125K - $144K/yr

... trainee measurement aids when required for training of new or upgraded equipment due to a major ... Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience ...

Data Scientist

San Diego, CA · On-site

$125K - $144K/yr

... trainee measurement aids when required for training of new or upgraded equipment due to a major ... Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience ...

DATA SCIENTIST LEAD

Tampa, FL · On-site

$104K - $169K/yr

... implement data science algorithms (e.g. regression, classification and clustering techniques ... Support faculty and trainee research projects * Develop familiarity with external data sources ...

DATA SCIENTIST LEAD

Birmingham, AL · On-site

$104K - $169K/yr

... implement data science algorithms (e.g. regression, classification and clustering techniques ... Support faculty and trainee research projects * Develop familiarity with external data sources ...

... trainee measurement aids when required for training of new or upgraded equipment due to a major ... Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience ...

$108K - $129K/yr

DATA ENGINEER - DATA SCIENCE TEAM Location: Newport News, Virginia, United States Date: Jun 27 ... NNS Apprentice School graduate * Navy Nuclear Power School (NNPS) graduate * Associate's Degree or ...

$108K - $129K/yr

DATA ENGINEER - DATA SCIENCE TEAM Location: Newport News, Virginia, United States Date: Jun 27 ... NNS Apprentice School graduate * Navy Nuclear Power School (NNPS) graduate * Associate's Degree or ...

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Trainee Data Science Apprenticeship information

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How much do trainee data science apprenticeship jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for trainee data science apprenticeship in the United States is $33.07, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $39.18 per hour, depending on experience, location, and employer.
What cities are hiring for Trainee Data Science Apprenticeship jobs? Cities with the most Trainee Data Science Apprenticeship job openings:
What are the most commonly searched types of Data Science Apprenticeship jobs? The most popular types of Data Science Apprenticeship jobs are:
What states have the most Trainee Data Science Apprenticeship jobs? States with the most job openings for Trainee Data Science Apprenticeship jobs include:
Research Fellow/Trainee - Women's Health - Data Science - Health Information Technology - School of

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

Emory University

Atlanta, GA • On-site, Remote

$47K - $64K/yr

Full-time

Posted 6 days ago


Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

160th of 877 rated healthcare providers


Job description

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.


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.


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.


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