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Computational Biology Intern Jobs (NOW HIRING)

The research intern will be in a fast-paced start-up environment playing a crucial technical role ... Experience with cheminformatics, computational chemistry, computational biology databases, data ...

The research intern will be in a fast-paced start-up environment playing a crucial technical role ... Experience with cheminformatics, computational chemistry, computational biology databases, data ...

Intern

Omaha, NE

$14.25 - $19.25/hr

Work on projects that directly contribute to Bluestem's mission, such as developing bio-based chemical markets, downstream separation processes, computational biology tools, or strain engineering ...

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Computational Biology Intern information

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$19.5K

$84.6K

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How much do computational biology intern jobs pay per year?

As of Jul 7, 2026, the average yearly pay for computational biology intern in the United States is $84,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $120,000.00 per year, depending on experience, location, and employer.

What are typical projects or tasks a Computational Biology Intern might work on during their internship?

As a Computational Biology Intern, you may analyze large biological datasets, such as genomic or proteomic data, using programming and statistical tools. Common tasks include writing scripts to automate data processing, visualizing experimental results, and assisting with developing or testing new computational algorithms. You might also help maintain or curate biological databases and collaborate closely with laboratory scientists and senior bioinformaticians to interpret results. This hands-on experience helps you develop technical expertise and gain valuable insight into real-world research methods in computational biology.

What are the key skills and qualifications needed to thrive in the Computational Biology Intern position, and why are they important?

To thrive as a Computational Biology Intern, you need a solid understanding of biology, statistics, and programming, often supported by coursework or research in bioinformatics or a related field. Familiarity with tools like Python or R, version control systems such as Git, and biological databases is highly beneficial. Strong analytical thinking, attention to detail, and effective communication skills help you work well within a research team and present findings clearly. These skills enable you to meaningfully contribute to computational projects, analyze complex biological data, and collaborate effectively in an interdisciplinary environment.

What does a Computational Biology Intern do?

A Computational Biology Intern applies computational and statistical techniques to analyze biological data, such as genomics, proteomics, or molecular simulations. They work with large datasets, develop algorithms, and use bioinformatics tools to extract meaningful insights. Interns may also assist in coding, machine learning applications, and data visualization to support research projects. Their role often involves collaborating with scientists and engineers to solve biological problems using computational approaches.

More about Computational Biology Intern jobs
What cities are hiring for Computational Biology Intern jobs? Cities with the most Computational Biology Intern job openings:
What are the most commonly searched types of Computational Biology jobs? The most popular types of Computational Biology jobs are:
What states have the most Computational Biology Intern jobs? States with the most job openings for Computational Biology Intern jobs include:
Research Intern - Systems Biology

Research Intern - Systems Biology

MD Anderson

Houston, TX

Full-time, Part-time, Internship

Re-posted 28 days ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

32nd of 877 rated healthcare providers


Job description

The laboratory focuses on cancer epigenomics, with particular emphasis on enzyme-tethering chromatin profiling technologies such as CUT&RUN, CUT&Tag, CUTAC and related methods for tissue-based molecular profiling. A major area of interest is the application of these approaches to formalin-fixed paraffin-embedded (FFPE) tissues and other clinically relevant biospecimens, with integration of pathology-guided tissue assessment and downstream molecular analysis.
This Research Intern position is a short-term, primarily wet-lab training appointment designed to provide practical experience in cancer research through direct participation in epigenomic profiling experiments. The intern will work closely with the PI, laboratory manager and research team to support established FFPE tissue profiling workflows across a large volume of specimens. This position is especially well-suited for candidates with prior hands-on research experience in molecular biology, epigenomics, or chromatin assays. Prior exposure to CUT&RUN, CUT&Tag, CUTAC, or related enzyme-tethering profiling methods is strongly preferred. Experience or interest in pathology, tissue handling, histology, or molecular profiling of clinical specimens is an advantage.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
The Research Intern will gain firsthand practical experience in epigenomic profiling for cancer research, particularly in the context of FFPE and other tissue specimens. Under close supervision, the intern will learn how established enzyme-tethering profiling workflows are implemented in a research laboratory, including sample handling, tissue-based experimental preparation, antibody-guided chromatin profiling steps, experimental quality control, and rigorous protocol documentation.
A central learning objective is to develop an applied understanding of how pathology information and tissue morphology inform molecular profiling strategy. The intern will gain exposure to how specimen quality, tissue context, and pathology-guided assessment influence experimental prioritization, assay feasibility, and interpretation of epigenomic data. This training is intended to strengthen the intern's ability to connect histologic features with molecular profiling workflows in translational cancer research.
The intern will also develop practical skills in reproducible laboratory workflow execution, including sample organization, batch processing, recordkeeping, and close coordination with the laboratory manager to support high-throughput tissue profiling activities. In addition, the intern will have the opportunity to learn how experimental data are processed and interpreted downstream, and to interact with computational members of the group to better understand the relationship between laboratory execution, data quality, and biological insight.
Expected learning outcomes include increased proficiency in tissue-based epigenomic laboratory methods, stronger understanding of pathology-informed molecular profiling, improved laboratory organization and reproducibility skills, and broader exposure to cancer research career paths at the interface of experimental and computational biology.
ELIGIBILITY REQUIREMENTS
Applicants must hold a bachelor's or master's degree in a relevant field, and the degree must have been obtained within one year of the appointment start date. Applicants must also have previous research experience in a laboratory setting relevant to biomedical, molecular, or cancer research.
Because this is a short-term wet-lab position in terms of epigenomic profiling projects, only candidates with prior hands-on experience in molecular biology, chromatin biology, epigenetics, genomics, or related experimental research, especially those with direct exposure to CUT&RUN, CUT&Tag, CUTAC, or related enzyme-tethering chromatin profiling assays, are considered. Experience with FFPE tissue, histology, pathology-associated workflows, tissue processing, or nucleic acid library preparation is desirable.
Candidates should be detail-oriented, able to follow established protocols precisely, and prepared to work collaboratively in a structured wet-lab research environment.
ADDITIONAL APPLICATION INFORMATION
Email the following to Dr. Ye Zheng at yzheng8@mdanderson.org.
• a cover letter describing detailed past experience with the enzymetethering epigenomic profiling experiments, such as CUT&RUN, CUT&Tag, and CUTAC.
• a curriculum vitae
• emails and phone numbers of a list of three references that can best describe your experimental and research skills
POSITION INFORMATION
This position (full-time or part-time) provides a stipend between $28,000 - $37,440.
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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