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Freelance Remote Computational Biologist Jobs (NOW HIRING)

Valo Health

Staff Computational Biologist

Lexington, MA · On-site +1

$195K - $230K/yr

About the Role We are seeking an exceptional Staff Computational Biologist to drive the next ... Familiarity with the drug discovery and development process is a plus Remote Salary Range $165,750 ...

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 ... We are seeking an exceptional computational biologist to lead target identification and multi-omics ...

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Freelance Remote Computational Biologist information

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How much do freelance remote computational biologist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for freelance remote 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 Freelance Remote Computational Biologist vs Freelance Remote Bioinformatician?

AspectFreelance Remote Computational BiologistFreelance Remote Bioinformatician
CredentialsDegree in biology, bioinformatics, or related field; experience with biological data analysisDegree in bioinformatics, computer science, or related; strong programming skills
Work EnvironmentRemote, project-based, often collaborating with research labs or biotech companiesRemote, project-based, typically supporting genomics, clinical research, or pharmaceutical projects
Industry UsageUsed in academic research, biotech, pharma, and healthcare sectorsCommon in genomics, personalized medicine, and clinical data analysis

Both roles involve data analysis and programming skills, but computational biologists focus more on biological research and modeling, while bioinformaticians emphasize data processing and software development. Freelance professionals in both fields work remotely on specialized projects, often collaborating with research teams or companies.

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

To thrive as a Freelance Remote Computational Biologist, you typically need a strong background in biology, statistics, and programming, often supported by an advanced degree in computational biology, bioinformatics, or a related field. Proficiency in programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, Bioconductor), and familiarity with cloud computing platforms are commonly required. Exceptional problem-solving, self-motivation, and effective remote communication skills help set top freelancers apart. These competencies are crucial for independently analyzing complex biological data, delivering results to clients, and maintaining successful remote collaborations.

Can I make $1000 a month freelance writing?

A freelance remote computational biologist can potentially earn $1000 or more per month, depending on their experience, specialization, and the number of projects they secure. Building a strong portfolio, utilizing skills in bioinformatics tools, and establishing a reliable client base are key factors in achieving this income level.

What does freelance mean?

A freelance computational biologist works independently rather than for a single employer, often taking on project-based work for multiple clients. Freelancers typically set their own schedules, use specialized skills like bioinformatics tools, and may need to manage their own contracts and payments.

Does freelance mean paid?

Freelance work, including for a remote computational biologist, typically means you are paid for your services on a project or hourly basis. Payment terms are usually agreed upon in a contract before starting the work, and freelancers are responsible for managing their own taxes and benefits. Compensation varies depending on the project, experience, and client agreements.

What is the work of a freelancer?

A freelance remote computational biologist performs research and analysis on biological data independently for clients or projects. They use skills in programming, data analysis, and biological sciences, often working with tools like Python, R, or specialized software, and typically set their own schedules. Their work involves interpreting complex data to support scientific or medical research without being tied to a single employer.

What are Freelance Remote Computational Biologists?

Freelance Remote Computational Biologists are professionals who use computational techniques, such as programming and data analysis, to solve biological problems, and they work independently from various locations outside of a traditional office or lab. They often collaborate with research teams, biotech companies, or academic institutions on a project basis, analyzing genetic data, modeling biological systems, or developing bioinformatics tools. This role allows for flexibility in work hours and location, making it ideal for those who prefer a non-traditional work environment while contributing to scientific discoveries.

How do freelance remote computational biologists typically manage project communication and collaboration with research teams?

Freelance remote computational biologists often work with diverse research teams located across different institutions and time zones. Effective communication is usually managed through regular video meetings, collaborative tools like Slack or Microsoft Teams, and version control platforms such as GitHub for sharing code and data. Keeping thorough documentation and providing frequent project updates are essential to ensure alignment on research goals and timelines. Proactively establishing clear communication channels and expectations at the start of each project helps mitigate common remote work challenges and fosters strong professional relationships.
More about Freelance Remote Computational Biologist jobs
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What are the most commonly searched types of Remote Computational Biologist jobs? The most popular types of Remote Computational Biologist jobs are:
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Freelance Remote Computational Biologist jobs near you
Infographic showing various Freelance Remote Computational Biologist job openings in the United States as of June 2026, with employment types broken down into 18% Locum Tenens, 8% Internship, 10% Full Time, 58% Part Time, and 6% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.
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.
    INDBH
    #LI-MG1

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