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Internship Computational Biologist Jobs (NOW HIRING)

Baylor College of Medicine

Intern/Aide

Houston, TX

$14.25 - $19/hr

The role provides hands-on training in cancer genomics, statistical modeling, and computational biology. Through this position, interns gain practical experience in: * Processing and analyzing cancer ...

Caltech

Bioinformatics Support Specialist

Pasadena, CA · On-site

Generate computational results and publication-quality figures for clear communication of results ... Familiarity with basic molecular biology topics. * Experience (including coursework or internships ...

Baylor College of Medicine

Intern/Aide

Houston, TX · On-site

$10 - $14/hr

The role provides hands-on training in cancer genomics, statistical modeling, and computational biology. Through this position, interns gain practical experience in: * Processing and analyzing cancer ...

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 ...

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 ...

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Internship Computational Biologist information

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How much do internship computational biologist jobs pay per year?

As of Jun 13, 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
Visiting Postdoc Scientist, Bitar Lab

Visiting Postdoc Scientist, Bitar Lab

Cedars Sinai

Los Angeles, CA • On-site

Full-time

Posted 2 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

37th of 999 rated hospitals

Job description

Job Description
An academic medical oncology research program is seeking a Visiting Scholar to join a translational oncology laboratory focused on breast cancer genomics and precision medicine. The laboratory specializes in advanced genomic profiling of breast cancer, with expertise in single-cell proteomics, multi-omics integration, and translational cancer research.
This position offers a collaborative educational environment designed to provide advanced training in cancer genomics, bioinformatics, translational oncology research methodologies, and clinical research collaboration. The Visiting Scholar will work closely with physician-scientists, computational biology collaborators, and multidisciplinary research teams to investigate tumor heterogeneity, treatment resistance, and biomarker discovery in breast cancer.
The program actively participates in multi-institutional clinical trials and maintains strong collaborations with computational biology and bioinformatics core facilities. The Visiting Scholar will also have opportunities to engage in academic mentorship, scientific presentations, and manuscript development.
Key Responsibilities Technical & Research Training
  • Gain hands-on experience in cancer genomics methodologies and translational oncology research workflows.
  • Learn next-generation sequencing (NGS) data analysis techniques and single-cell genomics applications.
  • Receive training in bioinformatics pipelines and genomic data interpretation within a clinical oncology context.
  • Develop skills in experimental design, translational research methodology, and biostatistical analysis of genomic datasets.
Research Activities
  • Analyze genomic datasets from breast cancer patients, including studies focused on acquired treatment resistance.
  • Apply computational approaches to identify resistance-associated molecular alterations and biomarkers.
  • Conduct analyses evaluating tumor microenvironment changes associated with treatment response and resistance.
  • Collaborate with biostatistics and computational research teams on genomic and survival analyses.
  • Contribute to manuscript preparation, scientific presentations, and collaborative research initiatives.
Academic Collaboration
  • Participate in weekly laboratory meetings, research-in-progress discussions, seminars, and cancer center grand rounds.
  • Contribute to the development of future international collaborative research projects and grant opportunities.
  • Engage with multidisciplinary clinical and research teams in a highly collaborative academic environment.
Training Timeline Months 1-3: Orientation & Foundational Training
  • Complete institutional research training requirements.
  • Participate in laboratory and research meetings.
  • Receive training in bioinformatics tools and databases such as cBioPortal, TCGA, and GEO.
  • Conduct literature review focused on breast cancer treatment resistance mechanisms.
Months 4-6: Active Research Initiation
  • Analyze existing breast cancer genomic datasets.
  • Apply computational methods to identify treatment resistance-associated alterations.
  • Attend departmental seminars and scientific conferences.
  • Present preliminary findings during internal research meetings.
Months 7-9: Advanced Analysis & Skill Development
  • Perform advanced analyses of tumor microenvironment and resistance-related molecular pathways.
  • Collaborate with biostatistics teams on genomic and clinical outcome correlations.
  • Expand proficiency in translational research methodologies and data interpretation.
Months 10-12: Synthesis & Dissemination
  • Prepare manuscripts for peer-reviewed publication.
  • Develop proposals for continued institutional collaboration.
  • Create implementation strategies for applying learned methodologies within the scholar's home institution.
Mentorship & Learning Environment
The Visiting Scholar will receive structured mentorship through:
  • Weekly one-on-one meetings with faculty leadership
  • Guidance from senior laboratory and research staff
  • Ongoing feedback on research progress and scientific development
  • Exposure to multidisciplinary translational oncology research programs

Qualifications
Required Education & Experience
  • Must be 18 years of age or older.
  • Must have a HS Diploma or GED.
  • Must reside in the greater Los Angeles area or surrounding cities while conducting all activities related to the intern or visitor appointment.
  • INTERNS: Those participating for academic credit must receive academic credit for the duration of the internship.
  • VISITORS: Must be receiving funding from an eligible sponsoring institution (employer, educator, funder, etc.).

Preferred Qualifications
  • MD, PhD, or equivalent advanced degree in medicine, oncology, biomedical sciences, or related field
  • Background or interest in oncology, genomics, translational research, or bioinformatics
  • Strong interest in breast cancer research and precision medicine
  • Excellent analytical, communication, and collaborative skills

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