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Intern Remote Computational Biology Jobs (NOW HIRING)

Ionis

Director, Computational Biology

Carlsbad, CA · On-site +1

We continue to invest time, money and energy into making our onsite, hybrid and remote work ... DIRECTOR, COMPUTATIONAL BIOLOGY SUMMARY: We are seeking an exceptional computational biologist to ...

Valo Health

Staff Computational Biologist

Lexington, MA · On-site +1

$195K - $230K/yr

Your day to day includes working with biology data scientists to harden their notebooks and ... Familiarity with the drug discovery and development process is a plus Remote Salary Range $165,750 ...

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Intern Remote Computational Biology information

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

To thrive as an Intern Remote Computational Biologist, you generally need a background in biology, bioinformatics, or a related field, along with strong analytical and programming skills. Familiarity with tools such as Python, R, and bioinformatics databases (like NCBI, Ensembl), as well as version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project advancement. These skills and qualities are vital for analyzing complex biological data, contributing to research goals, and working efficiently in a remote scientific environment.

What is the difference between Intern Remote Computational Biology vs Intern Remote Bioinformatics?

AspectIntern Remote Computational BiologyIntern Remote Bioinformatics
Required CredentialsUndergraduate or graduate in biology, bioinformatics, or related fieldsSimilar educational background, often with emphasis on data analysis and programming
Work EnvironmentRemote, collaborative with research teams, often in biotech or pharmaRemote, focused on data processing, analysis, and software tools
Industry UsageResearch institutions, biotech, pharma companiesHealthcare, research, biotech firms
Search & Comparison IntentUnderstanding roles in computational biology researchClarifying bioinformatics internship differences

Intern Remote Computational Biology and Intern Remote Bioinformatics roles share similar educational backgrounds and remote work settings. Computational biology focuses on modeling biological systems and data analysis, while bioinformatics emphasizes data processing and software tools. Both are vital in research and biotech industries, but their specific tasks and focus areas differ slightly.

What are Intern Remote Computational Biology positions?

Intern Remote Computational Biology positions are internship roles where students or recent graduates work remotely on projects involving computational methods to analyze biological data. These roles typically involve tasks like processing genomic or proteomic data, running bioinformatics pipelines, and developing software or algorithms to solve biological problems. Interns often collaborate with research teams, learn new programming and data analysis skills, and contribute to scientific publications or reports. These internships provide valuable experience for those interested in careers at the intersection of biology, data science, and technology.

What types of projects can a remote computational biology intern expect to work on, and how is mentorship typically provided in a virtual setting?

As a remote computational biology intern, you may be involved in projects such as analyzing genomic data, developing bioinformatics pipelines, or running simulations to model biological processes. Most teams use collaborative tools like Slack, Zoom, and GitHub to facilitate regular check-ins and code reviews, ensuring you receive guidance despite the remote setup. Mentorship is often structured through scheduled one-on-one meetings, virtual lab meetings, and shared documentation, allowing for continuous support and learning opportunities throughout your internship.
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Intern Remote Computational Biology jobs near you
Junior Computational Biologist (Remote)

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Posted 29 days ago

Job description

Pay Rate Low: 30 | Pay Rate High: 34
A leading biotechnology research organization is seeking a Junior Computational Biologist to support efforts in refining how cellular states are quantified and validated!
Title: Jr. Computational Biologist (Remote Contract)
Location: Remote (Must be available during PST business hours)
Compensation: $30-34/hour + benefits
Contract Duration: 6-12+ months
Job Duties:
This project will focus on benchmarking functional scoring methodologies and improving interpretability of high-dimensional transcriptomic datasets.
The selected candidate will contribute to distinguishing true biological signal from technical variation in large-scale single-cell atlases, directly enhancing the reliability of automated cell-state classification frameworks.
Start Date: July 1, 2026
  • Duration: Through December 18, 2026
  • Commitment: Full-time (100%)
  • Ideal Candidate: Upcoming June 2026 PhD graduate or recent PhD graduate
  • Location: Onsite in South San Francisco, CA preferred; remote within the U.S. considered (must work PST hours)
  • Visa Sponsorship: Not availabl

Key Responsibilities
  • Systematically evaluate and benchmark computational approaches for quantifying phenotype activation across single-cell transcriptomic datasets.
  • Establish rigorous statistical baselines and negative-control frameworks to improve the robustness of automated cell-state classification methods.
  • Develop or refine computational methods to address limitations in current approaches.
  • Design strategies to distinguish genuine biological signatures from stochastic or technical noise.
  • Present findings in internal scientific reviews and contribute to potential conference abstracts or peer-reviewed publications.

Required Qualifications
  • Extensive hands-on experience in single-cell data analysis using Scanpy, AnnData, and Pandas.
  • Strong proficiency implementing statistical and machine learning models using scikit-learn and SciPy.
  • Demonstrated commitment to reproducible research practices and well-organized code.
  • Ability to clearly communicate complex computational concepts to interdisciplinary scientific teams.
  • Master's degree with ongoing PhD pursuit, or recent PhD graduate, in Computational Biology, Computer Science, Machine Learning, or related quantitative discipline.
  • Interest in drug discovery and comfort working in dynamic, research-driven environments.

Preferred Qualifications
  • Background knowledge in cell biology and/or immunology.
  • Experience with hypothesis testing, noise modeling, and benchmarking computational tools.
  • Familiarity with Explainable AI (XAI) approaches or large-scale biological datasets.
  • Demonstrated ability to build or extend novel bioinformatics pipelines.
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