ZipRecruiter

Log In

1

Internship Computational Biologist Jobs (NOW HIRING)

Bio-Techne

Scientist, Probe Design

Newark, CA

$89K - $146K/yr

PhD with 4+ years of research experience in molecular biology, bioinformatics computational biology ... internship programs, and more. * We offer employee resource groups, volunteer paid time off ...

Bio-Techne

Scientist, Probe Design

Newark, CA · On-site

$89K - $146K/yr

PhD with 4+ years of research experience in molecular biology, bioinformatics computational biology ... internship programs, and more. * We offer employee resource groups, volunteer paid time off ...

Bluestem Biosciences

Intern

Omaha, NE

$14.25 - $19.25/hr

An internship at Bluestem isn't just about work; it's an opportunity for both you and Bluestem ... computational biology tools, or strain engineering strategies. With clear scope and deliverables ...

next page

Showing results 1-20

All JobsInternship Computational Biologist Jobs

Internship Computational Biologist information

See salary details

$48.5K

$94K

$133.5K

How much do internship computational biologist jobs pay per year?

As of Jul 4, 2026, the average yearly pay for internship computational biologist in the United States is $93,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Computational Biologist vs Research Computational Biologist?

AspectInternship Computational BiologistResearch Computational Biologist
CredentialsUndergraduate or early graduate students, some coursework in biology and programmingMaster's or PhD in computational biology, bioinformatics, or related fields
Work EnvironmentInternship programs, often in academic or biotech settings, supervised rolesFull-time research roles in academia, industry, or biotech companies
ResponsibilitiesAssist with data analysis, learn tools, support ongoing projectsDesign experiments, analyze complex data, publish research findings

The main difference between an Internship Computational Biologist and a Research Computational Biologist lies in experience level, responsibilities, and credentials. Internships are entry-level, focusing on learning and supporting projects, while research roles involve independent work and advanced degrees. Internships serve as a stepping stone toward a career in computational biology, whereas research positions are more specialized and require greater expertise.

What types of projects can an Internship Computational Biologist expect to work on, and how collaborative is the role?

As an Internship Computational Biologist, you can expect to work on projects involving the analysis of large biological datasets, such as genomics or proteomics data. These projects often require you to develop scripts, use bioinformatics tools, and interpret results in collaboration with both computational and experimental scientists. The role is highly collaborative—interns typically participate in team meetings, present findings, and may even have opportunities to co-author research publications. This environment provides valuable exposure to interdisciplinary teamwork and real-world applications of computational biology.

What does an internship in computational biology involve?

An internship in computational biology typically involves working on projects that combine biology, computer science, and mathematics to analyze biological data. Interns may work with large datasets, develop or use bioinformatics tools, and collaborate with researchers to interpret results. The experience helps interns gain practical skills in programming, data analysis, and scientific research, often preparing them for graduate studies or careers in biotechnology and academia.

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

To thrive as an Internship Computational Biologist, you need a solid background in biology, statistics, and programming, often supported by coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with tools such as Python, R, Linux environments, and bioinformatics databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and collaborate with multidisciplinary teams. These skills are crucial for generating meaningful biological insights from complex datasets and contributing effectively to research projects.
What cities are hiring for Internship Computational Biologist jobs? Cities with the most Internship Computational Biologist job openings:
What are the most commonly searched types of Computational Biologist jobs? The most popular types of Computational Biologist jobs are:
What states have the most Internship Computational Biologist jobs? States with the most job openings for Internship Computational Biologist jobs include:
Internship Computational Biologist jobs near you
Post Doctoral Fellow - Biostatistics and Data Science

Post Doctoral Fellow - Biostatistics and Data Science

University of Maryland, Baltimore

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

PTO

Posted 12 days ago

University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

224th of 544 rated colleges and universities

Job description

Job Description
POSTDOCTORAL FELLOW: The Maryland Psychiatric Research Center (MPRC) at the University of Maryland School of Medicine is recruiting a Postdoctoral Fellow for the Biostatistics and Data Science Laboratory led by Dr. Shuo Chen.
The is an internationally renowned research center, which is dedicated to providing treatment to patients with schizophrenia and related disorders, educating professionals and consumers about schizophrenia, and conducting basic and translational research into the manifestations, causes, and treatment of schizophrenia.
EssentialFunctions:
• Developing new statistical methods to model multimodal neuroimaging data, multi-omics data, electronic health record (EHR) and genetics data which are measured by longitudinally and cross-sectionally.
• Developing and applying machine learning and AI approaches to identify interactive topological relationships between various imaging modalities and multi-omics during aging and development.
• Implementing computationally intensive algorithms on high-performance computational clusters.
• Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target trial emulations- TTE)
• Developing data integration methods to combine multiple massive datasets (UKBB, HCP, ENIGMA, and etc) and local trials and observational studies (e.g, UMMS EHR).
• Manuscript drafting and preparation.
• Performing other duties as assigned.
Qualifications
Qualifications
Minimum Qualifications:
Education:A Ph.D. degree in a quantitative field such as statistics, biostatistics, bioinformatics, computational biology, human genetics, computer science, or a closely related area is required.
Experience:Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Matlab, and Python, and expertise in high-performance clusters are required.
Knowledge, Skills, and Abilities:
• Knowledge in advanced statistical theory and methods.
• Strong optimization and computational skills to process large-scale medical images and analyze multi-modal data effectively.
• Excellent interpersonal skills, including a positive and professional orientation towards faculty, staff, university officials, partner organizations, and other stakeholders.
The stipend for Postdoctoral Fellows is competitive and aligned with the number of full years of relevant postdoctoral experience. Relevant experience may include research, teaching, clinical duties, internships, or other work in a health-related field beyond the qualifying doctoral degree. Stipend levels are determined to meet or exceed the current listed on the website. Postdoctoral Fellows at the University of Maryland also receive a comprehensive benefits package that includes 10 days of annual leave, 15 days of sick leave, 3 personal days, all university-recognized holidays, and may also qualify for additional leave options.
For immediate consideration, please send a cover letter and a recent CV, including names and contact information of three references, to this link
To apply for this position or to seek additional information, please contact Dr. Chen at
For additional questions after application, please email at
UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy.

What University Of Maryland, Baltimore employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply