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Intern Bioinformatics Genetics Jobs (NOW HIRING)

QC EM Tech/Intern

Alameda, CA ยท On-site

$21.25 - $27.25/hr

... of genetic medicines. GeneFab offers its customers an extensive technology platform and know-how ... GeneFab's technology platform includes bioinformatic-guided discovery of cell type promoters ...

QC EM Tech/Intern

Alameda, CA

$21.25 - $27.25/hr

... of genetic medicines. GeneFab offers its customers an extensive technology platform and know-how ... GeneFab's technology platform includes bioinformatic-guided discovery of cell type promoters ...

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Intern Bioinformatics Genetics information

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$8

$17

$24

How much do intern bioinformatics genetics jobs pay per hour?

As of May 28, 2026, the average hourly pay for intern bioinformatics genetics in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern in Bioinformatics Genetics, and why are they important?

To thrive as an Intern in Bioinformatics Genetics, you need a foundational understanding of molecular biology, genetics, and computational analysis, often supported by coursework or a degree in bioinformatics, biology, or a related field. Familiarity with programming languages such as Python or R, experience with genomic databases, and knowledge of bioinformatics tools like BLAST or GATK are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills ensure accurate data analysis, meaningful research outcomes, and effective teamwork in advancing genetic research.

What types of projects do Interns in Bioinformatics Genetics typically work on, and how do these projects contribute to larger research goals?

Interns in Bioinformatics Genetics are often involved in projects such as analyzing large genomic datasets, developing scripts or pipelines for data processing, and assisting with the interpretation of genetic variants. These tasks directly support ongoing research by helping to identify patterns, validate findings, and streamline workflows for the team. Interns frequently collaborate with senior bioinformaticians, laboratory scientists, and sometimes clinicians, gaining exposure to interdisciplinary problem-solving and contributing to meaningful scientific discoveries.

What does an Intern in Bioinformatics Genetics do?

An Intern in Bioinformatics Genetics assists with analyzing biological data, such as DNA or RNA sequences, using computational tools and software. Their work typically involves supporting research projects, preparing datasets, running statistical analyses, and helping interpret genetic data. Interns may also assist in developing new algorithms or databases and collaborating with scientists on various genetics research projects. This role helps interns gain hands-on experience at the intersection of biology, genetics, and computer science.

What is the difference between Intern Bioinformatics Genetics vs Intern Molecular Biology?

AspectIntern Bioinformatics GeneticsIntern Molecular Biology
Required CredentialsUndergraduate degree in genetics, bioinformatics, or related fieldUndergraduate degree in biology, molecular biology, or related field
Work EnvironmentLaboratories, computational workstations, research institutionsLaboratories, research facilities, biotech companies
Employer & Industry UsageResearch institutions, biotech firms, universitiesPharmaceutical companies, research labs, biotech firms
Common Search & Comparison IntentUnderstanding roles, skills, and career paths in bioinformatics geneticsExploring internship opportunities and differences in molecular biology

Intern Bioinformatics Genetics focuses on computational analysis of genetic data, requiring skills in programming and data analysis. Intern Molecular Biology emphasizes laboratory techniques and experimental work in molecular processes. Both roles are common in research and biotech industries but differ in their core activities and skill sets.

More about Intern Bioinformatics Genetics jobs
What cities are hiring for Intern Bioinformatics Genetics jobs? Cities with the most Intern Bioinformatics Genetics job openings:
What are the most commonly searched types of Bioinformatics Genetics jobs? The most popular types of Bioinformatics Genetics jobs are:
What states have the most Intern Bioinformatics Genetics jobs? States with the most job openings for Intern Bioinformatics Genetics jobs include:
Infographic showing various Intern Bioinformatics Genetics job openings in the United States as of May 2026, with employment types broken down into 38% Internship, and 62% Full Time. Highlights an 100% In-person job distribution, with an average salary of $35,436 per year, or $17 per hour.
Hourly Data Analyst

$15.92 - $20/hr

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Title:
Hourly Data Analyst
Department:
Computer Science
Reports To:
Distinguished Professor, Computer Science
Position Type:
Staff
Position Summary:
The Hourly Data Analyst will support an NIH R15-funded biomedical research project
under the supervision of Dr. Zhi Wei. The position is intended to provide
meaningful undergraduate research experience in biomedical data science,
computational biology, and bioinformatics while contributing to approved
project aims. The intern will assist with literature review, biological
information curation, data analysis, implementation and testing of computational methods ,and preparation of research
summaries or presentations.
Essential Functions:
-
Conduct literature review related to biomedical data science, computational biology, bioinformatics, and relevant biological background information.
- Collect, organize, and curate prior biological information and publicly available biomedical data relevant to the project.
- Implement, test, and document basic core functions of proposed computational methods under supervision.
- Run baseline methods, software tools, and computational experiments as directed by the supervisor or graduate mentor.
- Assist with simulation of synthetic data and collection, processing, and analysis of real data.
- Contribute to the development and testing of user-friendly research software, scripts, notebooks, or documentation.
- Participate in regular research meetings, provide progress updates, and receive guidance from the PI, co-investigator, and graduate mentor.
- Help prepare research summaries, figures, reports, posters, presentations, or other materials related to the project.
Prerequisite Qualifications:
-
Current undergraduate student in computer science, data science, bioinformatics, biology, mathematics, statistics, engineering, or a related field.
- Interest in biomedical research, computational biology, bioinformatics, machine learning, data science, or related areas.
- Ability to work responsibly under supervision, communicate progress, and meet agreed-upon deadlines.
- Strong attention to detail and willingness to learn new scientific and computational concepts.
- At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position.
Preferred Qualifications:
-
Prior coursework or experience in programming, data analysis, algorithms, statistics, machine learning, biology, genetics, genomics, or bioinformatics.
- Experience with Python, R, Linux/command line, Git/GitHub, Jupyter notebooks, or similar tools is helpful but not required.
- Prior research experience is helpful but not required.
Salary Information:
In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $15.92-$20.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items.
FLSA:
Non-Exempt
Part-Time