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Remote Graduate Jobs in Berkeley, CA (NOW HIRING)

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Remote Graduate information

See Berkeley, CA salary details

$27.6K

$125.5K

$166.5K

How much do remote graduate jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote graduate in Berkeley, CA is $125,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,800.00 and $132,800.00 per year, depending on experience, location, and employer.

What is a remote graduate?

Remote graduates are individuals who have completed their academic degrees through remote or online learning programs, rather than attending courses in person. These graduates may have studied entirely online or used a combination of remote and in-person classes. Remote learning allows for flexibility, making higher education more accessible to people regardless of their location. As remote education becomes more common, remote graduates are increasingly recognized by employers, provided their degrees are from accredited institutions.

What are remote jobs for recent graduates?

Jobs for a remote graduate include a wide variety of positions that allow you to work from home or a virtual office. In this context, being a graduate refers to completing any degree program, not just a college degree. Most remote jobs for recent graduates make heavy use of the internet, but some involve tasks such as testing physical products, answering phone calls, or recording dialogue. Remote jobs for recent graduates is an extensive category of positions, so there are many positions available, depending on your qualifications. Remote jobs for recent graduates should not be confused with internship opportunities for recent grads that are often unpaid.

What are the key skills and qualifications needed to thrive as a remote graduate, and why are they important?

To thrive as a Remote Graduate, you need a relevant academic degree, basic technical proficiency, and a willingness to learn. Familiarity with collaboration tools such as Zoom, Slack, and Google Workspace is typically required to work efficiently in a remote environment. Strong self-motivation, time management, and proactive communication skills help you stand out in this position. These skills and qualities are essential for managing responsibilities independently and contributing effectively to remote teams.

What are some common challenges faced by remote graduates in their first professional role, and how can they overcome them?

Remote graduates often encounter challenges such as building connections with colleagues, managing their time effectively, and staying motivated without in-person supervision. To overcome these, it's helpful to schedule regular check-ins with your manager, actively participate in virtual team meetings, and set clear daily goals. Leveraging collaboration tools and seeking out a mentor within the organization can also help remote graduates feel more integrated and supported as they start their careers.

What is the difference between Remote Graduate vs Remote Intern?

AspectRemote GraduateRemote Intern
CredentialsRecent degree or diploma, minimal work experienceEnrolled student or recent graduate, often unpaid or low-paid
Work EnvironmentFull-time or part-time remote position, independent responsibilitiesTemporary, project-based, or supervised remote work
Employer UsageEntry-level roles in various industries, companies hiring graduatesOrganizations offering training, mentorship, or internship programs

Remote Graduates typically hold a recent degree and work in full-time or part-time remote roles, focusing on gaining experience. Remote Interns are usually students or recent graduates participating in temporary, supervised remote work to develop skills. While both are entry-level, Remote Graduates often have more independence and responsibility compared to Interns, who are in a learning phase.

More about Remote Graduate jobs

What are the most commonly searched types of Graduate jobs in Berkeley, CA?

The most popular types of Graduate jobs in Berkeley, CA are:

What are popular job titles related to Remote Graduate jobs in Berkeley, CA?

For Remote Graduate jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Graduate jobs in Berkeley, CA look for?

The top searched job categories for Remote Graduate jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Graduate jobs?

Cities near Berkeley, CA with the most Remote Graduate job openings:

Remote Graduate jobs near you
Infographic showing various Remote Graduate job openings in Berkeley, CA as of August 2026, with employment types broken down into 2% Internship, 53% Full Time, 33% Part Time, 2% Temporary, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $125,476 per year, or $60.3 per hour.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 24 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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