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Internship Genomics Jobs (NOW HIRING)

Howard University

Research Assistant

Washington, DC · On-site

$21.75 - $30/hr

... genomics data, or related analytic workflows preferred. Relevant coursework, internships, thesis work, or laboratory experience may be considered. Experience with one or more data-analysis tools or ...

Howard

Research Assistant

Washington, DC

$21.75 - $30/hr

... genomics data, or related analytic workflows preferred. Relevant coursework, internships, thesis work, or laboratory experience may be considered. Experience with one or more data-analysis tools or ...

Mayo Clinic

Research Fellow-Genomics

Rochester, MN · On-site

Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic. The Ethylin Wang Jabs and Meng Wu labs ...

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How much do internship genomics jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for internship genomics in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What types of projects or tasks are typically assigned to interns in genomics, and how do these contribute to real research outcomes?

Interns in genomics often participate in hands-on projects such as data analysis of sequencing results, assisting with laboratory experiments, or helping to maintain bioinformatics pipelines. These tasks are designed to support ongoing research projects and may involve collaboration with both computational and laboratory teams. Interns frequently contribute to the interpretation of genomic data, literature reviews, or even the development of new tools, which can have a real impact on the lab’s findings and publications. This exposure provides valuable experience and can lead to further opportunities in research or industry roles.

What are the key skills and qualifications needed to thrive as an Internship Genomics, and why are they important?

To thrive in a Genomics Internship, you typically need a background in biology, genetics, or related fields, along with foundational knowledge of molecular techniques and data analysis. Familiarity with bioinformatics tools, programming languages like Python or R, and next-generation sequencing platforms is often required. Strong analytical thinking, attention to detail, and effective communication help interns interpret data and collaborate with research teams. These skills are vital for supporting research projects, managing complex datasets, and contributing to scientific discoveries in genomics.

What is the difference between Internship Genomics vs Genomics Research Assistant?

AspectInternship GenomicsGenomics Research Assistant
Required CredentialsTypically students or recent graduates; some may have relevant courseworkUsually requires a bachelor's degree in biology, genetics, or related field
Work EnvironmentEducational settings, labs, internships at biotech companiesResearch labs, academic institutions, biotech companies
Employer & Industry UsageInternship programs, educational institutions, biotech firmsResearch institutions, universities, biotech companies
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesClarifying job responsibilities, career progression

Internship Genomics positions are typically entry-level, designed for students or recent graduates gaining practical experience. In contrast, Genomics Research Assistants are more established roles requiring a bachelor's degree and involve more independent research responsibilities. Both roles are common in research labs and biotech industries, but internships focus on learning, while research assistant roles emphasize contribution to ongoing projects.

What is an Internship in Genomics?

An Internship in Genomics is a temporary position, typically for students or recent graduates, that provides hands-on experience in the field of genomics. Interns may work in research laboratories, biotech companies, or healthcare institutions, assisting with projects related to DNA sequencing, genetic data analysis, or bioinformatics. The goal is to gain practical skills, learn from professionals, and build a foundation for a career in genomics. Internships can last from a few weeks to several months and may be paid or unpaid, depending on the organization. They are valuable for networking and exploring different career paths within the field.
More about Internship Genomics jobs
What cities are hiring for Internship Genomics jobs? Cities with the most Internship Genomics job openings:
What are the most commonly searched types of Genomics jobs? The most popular types of Genomics jobs are:
What states have the most Internship Genomics jobs? States with the most job openings for Internship Genomics jobs include:
What job categories do people searching Internship Genomics jobs look for? The top searched job categories for Internship Genomics jobs are:
Internship Genomics jobs near you
Infographic showing various Internship Genomics job openings in the United States as of July 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Research Assistant

Research Assistant

Howard University

Washington, DC • On-site

$21.75 - $30/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Howard University rating

8.1

Company rating: 8.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

133rd of 546 rated colleges and universities

Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:
  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!
https://hr.howard.edu/benefits-wellness
  • JOB PURPOSE:
    Support grant-funded biomedical and behavioral research activities for the Neuropsychopharmacology AI/ML Laboratory and related Howard University College of Medicine initiatives by organizing, cleaning, documenting, integrating, and preparing research datasets for analysis.
    The position will assist with All of Us data workflows, substance use disorder cohort organization, survey data restructuring, documentation of genetics/genomics variables, quality-control checks, and manuscript- or grant-related deliverables under faculty supervision.
    SUPERVISORY AUTHORITY:
    This position has no formal supervisory authority. The employee may provide task-based guidance to students, trainees, or junior research assistants on project-specific data organization and documentation workflows as assigned.
    NATURE AND SCOPE:
    The position operates in a grant-funded academic research environment and supports data-centered research projects involving biomedical, behavioral, survey, clinical, substance use disorder, health disparities, and genetics/genomics data.
    Work requires accuracy, confidentiality, reproducibility, and clear documentation. The employee will interact with faculty investigators, research staff, trainees, collaborators, and university administrative personnel, and must follow applicable institutional, grant, IRB, data-use, and privacy requirements.
    Assignments may include preparing analysis-ready files, reviewing data dictionaries and survey instruments, documenting genomic and phenotypic variables, resolving participant-count discrepancies, and supporting manuscript preparation.
    PRINCIPAL ACCOUNTABILITIES:
    • Organize, clean, and prepare survey, phenotypic, behavioral, clinical, substance use disorder, and genetics/genomics datasets for analysis.
    • Support All of Us research workflows, including cohort organization, variable identification, data extraction planning, and documentation of analytic datasets.
    • Restructure survey data into participant-level analytic formats when needed and assist with combining multiple data types into unified datasets.
    • Write and maintain clear definitions for genetic/genomic and phenotype data elements used in assigned research projects.
    • Investigate, document, and communicate discrepancies in participant counts, data availability, coding, or cohort definitions.
    • Prepare data dictionaries, codebooks, workflow notes, and reproducibility documentation for internal research use.
    • Assist with statistical, bioinformatics, or machine-learning preparation tasks, including variable organization and documentation of assumptions or limitations.
    • Contribute to manuscript preparation, including methods documentation, data summaries, table or figure support, references, and revision tracking.
    • Support grant-related deliverables, reports, presentations, meeting updates, and other research-related duties as assigned.
    • Maintain secure and confidential handling of research data in accordance with Howard University policies, grant requirements, IRB requirements, and data-use agreements.

    CORE COMPETENCIES:
    • Strong attention to detail and commitment to data accuracy.
    • Ability to organize complex datasets and document analytic decisions clearly.
    • Working knowledge of data cleaning, variable coding, and dataset preparation.
    • Ability to communicate data issues clearly to technical and non-technical audiences.
    • Commitment to confidentiality, research ethics, and responsible data stewardship.
    • Ability to manage multiple tasks and deadlines in a grant-funded research environment. Strong written communication skills for documentation, reports, manuscripts, and presentations.
    • Willingness to learn new data platforms, coding workflows, and analytic methods.

    MINIMUM REQUIREMENTS:
    Bachelor's degree in biology, neuroscience, psychology, public health, bioinformatics, data science, statistics, computer science, or a related field required; master's degree preferred. At least one year of experience working with research data, biomedical datasets, survey data, clinical data, genetics/genomics data, or related analytic workflows preferred. Relevant coursework, internships, thesis work, or laboratory experience may be considered. Experience with one or more data-analysis tools or programming environments preferred, such as R, Python, SQL, SAS, SPSS, Stata, Jupyter notebooks, or cloud-based research workspaces. Familiarity with data dictionaries, codebooks, reproducible workflows, and research documentation preferred. Experience or interest in substance use disorder, addiction neuroscience, neuropsychopharmacology, health disparities, machine learning, genetics/genomics, or large-scale biomedical datasets preferred. Must be able to maintain confidentiality and comply with all university, grant, IRB, and data-use requirements.

Compliance Salary Range Disclosure
Expected Pay Range: $40,000- $50,000

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