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Cloud Computing Trainee Jobs (NOW HIRING)

... cloud computing, and the innovations of tomorrow. At E2 Optics, you will work with cutting-edge ... Practices excellence in the transfer of knowledge to trainees using effective teaching and learning ...

... cloud computing, and the innovations of tomorrow. At E2 Optics, you will work with cutting-edge ... Practices excellence in the transfer of knowledge to trainees using effective teaching and learning ...

Post Doctoral Fellow

Atlanta, GA · On-site

$47.70K - $64.70K/yr

Experience with computing in cloud environments is a strong plus; some experience with high ... The specific area of research in which the trainee is mentored is determined by the department and ...

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Cloud Computing Trainee information

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How much do cloud computing trainee jobs pay per hour?

As of May 31, 2026, the average hourly pay for cloud computing trainee in the United States is $21.15, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $24.28 per hour, depending on experience, location, and employer.

What is a Cloud Computing Trainee job?

A Cloud Computing Trainee job is an entry-level role designed to help individuals gain hands-on experience with cloud technologies. Trainees typically learn about cloud platforms like AWS, Azure, and Google Cloud, focusing on concepts such as virtualization, networking, security, and cloud deployment. The role often involves assisting with cloud infrastructure setup, troubleshooting, and automation tasks under the guidance of experienced professionals. This position is ideal for those looking to start a career in cloud computing, as it provides foundational knowledge and practical skills. Many trainees eventually transition into roles such as Cloud Engineers, DevOps Specialists, or Solutions Architects.

What are the key skills and qualifications needed to thrive in the Cloud Computing Trainee position, and why are they important?

To thrive as a Cloud Computing Trainee, you need a foundational understanding of networking, operating systems, and programming, often backed by a degree in computer science or a related field. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and the pursuit of relevant certifications are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These skills are crucial for adapting to new technologies, collaborating with technical teams, and succeeding in fast-paced cloud environments.

What kinds of projects or tasks can I expect to work on as a Cloud Computing Trainee?

As a Cloud Computing Trainee, you'll typically assist with migrating applications to the cloud, setting up virtual machines, and configuring cloud-based storage and networking solutions. You may also be involved in monitoring cloud resources, troubleshooting basic technical issues, and supporting more senior engineers with project implementation. Additionally, you'll have opportunities to participate in hands-on training, workshops, or shadowing team members on real client projects. This role is designed to help you build practical skills while contributing to meaningful cloud initiatives alongside a supportive technical team.
What cities are hiring for Cloud Computing Trainee jobs? Cities with the most Cloud Computing Trainee job openings:
What are the most commonly searched types of Cloud Computing jobs? The most popular types of Cloud Computing jobs are:
What states have the most Cloud Computing Trainee jobs? States with the most job openings for Cloud Computing Trainee jobs include:

Research Fellow - Computational Cardiology Research, Honigberg Lab, MGH Cardiovascular Research C...

Massgeneralbrigham

Boston, MA

Full-time

Posted 25 days ago


Job description

Site: Massachusetts General Physicians Organization, Inc.


Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.


The laboratory of Dr. Michael Honigberg at the Massachusetts General Hospital Cardiovascular Research Center (CVRC) and Broad Institute of MIT & Harvard has a unique post-doctoral fellow position open for a highly qualified applicant interested in investigation at the intersection of cardiovascular, reproductive, and aging biology. The new hire will be appointed as a Research Fellow at the Massachusetts General Hospital and Post-Doctoral Fellow at Harvard Medical School.
The Honigberg lab aims to advance mechanistic understanding of emerging cardiovascular risk factors and inform new paradigms for health promotion and disease prevention. Current projects focus on pregnancy (e.g., preeclampsia/eclampsia), menopause, aging biology, and novel lipid-modifying therapies, among other topics.
This position will enable access to resources and opportunities across multiple world-class institutions. Individuals will work with a range of data types, including genetic datasets, including genotype arrays, whole exome and whole genome sequencing, single-cell sequencing, and multi-omic data (e.g., metabolic, transcriptomic, proteomic, methylation). The successful candidate will work within a dynamic and highly collaborative environment alongside computational biologists, bioinformaticians, epidemiologists, clinicians, research coordinators, students, and medical trainees.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
The successful candidate will work closely with Dr. Honigberg, members of the Honigberg Lab, and other trainees and faculty at the MGH CVRC and Broad Institute. The successful candidate will be closely supervised by Dr. Honigberg. The successful candidate will have robust facility in computational genetics and bioinformatics. Projects will range from genomic discovery and in silico investigations of genetic mechanisms of disease, risk prediction, phenotype curation using electronic health record data, multi-omic analysis, and Mendelian randomization for causal inference.
Overall, this is a unique opportunity to engage in cutting edge science and make a central contribution to biomedical research. In addition, MGH and the Broad Institute provide vibrant research environments with close links to top academic and industry networks across the Greater Boston area and the world.
Key Responsibilities
Construction and implementation of cloud-based pipelines for genomic, polygenic risk scoring, and biostatistical analyses.
Processing and quality control of next-generation sequencing data.
Processing and quality control of multi-omics data.
Statistical analyses of genotype-phenotype association analyses, with summarization and graphical representations.
Organizing, manipulating, and harmonizing new datasets across different formats and synchronization with existing datasets and databases.
Phenotypic curation from electronic health record structured and unstructured data.
Construction, implementation, and sensitivity analyses of biostatistical models in classical epidemiology, genetic epidemiology, and machine learning.
Lead and contribute to manuscript preparation as well as internal and external project-team reports.
Actively participate and present in project meetings and lab meetings.
SKILLS & COMPETENCIES REQUIRED:
Doctoral degree in computational biology, biomedical informatics, biostatistics, statistical genetics, genetic epidemiology, or computer science.
First (or co-first) author of one or more peer-reviewed scientific publications.
Excellent English verbal and written communication skills.
Able to work both independently and in a team.
Strong record of productivity, motivation, adaptability, and collaboration.
Exceptional oral and written communication skills.
Strong background in computational biology and bioinformatics.
Strong skills in statistical analyses are highly preferred.
Strong demonstrable proficiency in UNIX, R, Python, and Perl; facility with Java, Matlab, C, C++ preferred.
Strong facility with cloud computing.
Prior experience in human genetic analyses and bioinformatics analyses of publicly available datasets.
Familiarity with next-generation sequence data analysis tools strongly preferred.
Ability to adapt to rapidly changing and high-demand environments.
Knowledge of cardiovascular disease is not required.
Qualified candidates should send a CV, a cover letter, and contact information for three references to Dr. Michael Honigberg (MHONIGBERG@MGH.HARVARD.EDU).
Find out more about our lab's research: https://honigberglab.mgh.harvard.edu
The expected annual salary range will be commensurate with the candidate's experience and qualifications, and institutional guidelines.
Review of applications will begin immediately and continue until the position is filled.
EEO Statement
Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.


Job Summary

Summary
Does this position require Patient Care?
No
Essential Functions


Qualifications

Education
Can this role accept experience in lieu of a degree?
Licenses and Credentials
Experience
Knowledge, Skills and Abilities


Additional Job Details (if applicable)

Physical Requirements

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Remote Type

Onsite


Work Location

185 Cambridge Street


Scheduled Weekly Hours

40


Employee Type

Regular


Work Shift

Day (United States of America)


EEO Statement:

1300 Massachusetts General Physicians Organization, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.


Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.