ZipRecruiter

Log In

2

Contract Remote Graduate Jobs in California (NOW HIRING)

L3HHCM20

Sr. Manager, Subcontracts

Yorba Linda, CA · On-site +1

$133K - $247K/yr

The team leads the execution of the supplier contracts after negotiations conclude and manages the ... Graduate degree with a minimum of 7 years of program management experience. Government buying ...

Mercor

Radiologist

San Francisco, CA · Remote

$180 - $400/hr

Contract Compensation: $180-$400/hour Location: Remote Duration: Ongoing, reviewed monthly ... Must be in the final year of residency or board-eligible if a recent graduate. * Fellows: Must be ...

Mercor

Interventional Radiologist

San Francisco, CA · Remote

$180 - $400/hr

Contract Compensation: $180-$400/hour Location: Remote Duration: Ongoing, reviewed monthly ... Must be in the final year of residency or board-eligible if a recent graduate. * Fellows: Must be ...

L3HHCM20

Lead, Accounting

Sacramento, CA · On-site +1

$105K - $186K/yr

Melbourne, FL or Remote Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours ... Review contract setup in the ERP * Completion of quarterly inventory net realizable value (NRV ...

L3HHCM20

Lead, Accounting

Yorba Linda, CA · On-site +1

$105K - $186K/yr

Melbourne, FL or Remote Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours ... Review contract setup in the ERP * Completion of quarterly inventory net realizable value (NRV ...

next page

Showing results 1-20

All JobsContract Graduate JobsContract Remote Graduate JobsContract Remote Graduate Jobs in California

Contract Remote Graduate information

What are the key skills and qualifications needed to thrive as a Contract Remote Graduate, and why are they important?

To thrive as a Contract Remote Graduate, you typically need a relevant degree in your field, strong research and analytical skills, and the ability to work independently. Familiarity with digital collaboration tools like Slack, Zoom, and project management systems, along with proficiency in your discipline’s standard software, is usually expected. Outstanding time management, self-motivation, and proactive communication are soft skills that help you stand out in a remote environment. These skills and qualities are essential for meeting deadlines, maintaining productivity, and building professional relationships while working remotely.

How do Contract Remote Graduates typically collaborate with their teams while working off-site?

Contract Remote Graduates usually rely on digital communication tools such as video conferencing, instant messaging, and shared project management platforms to stay connected with their teams. Regular check-ins, virtual meetings, and collaborative documents are common practices to ensure alignment and progress on tasks. Building relationships and maintaining clear communication can be a challenge, but proactive engagement and responsiveness help bridge the remote gap. Many organizations also provide mentorship or buddy systems to support new graduates in adapting to remote work dynamics.

What are Contract Remote Graduates?

Contract Remote Graduates are recent university or college graduates who work on a contractual basis for employers, performing their job duties remotely rather than from a traditional office. These roles are typically project-based or temporary, allowing both the employer and the graduate flexibility in terms of work location and duration. This type of position is popular in fields such as IT, marketing, research, and administration, where tasks can be completed online. Contract remote roles can help graduates gain valuable work experience, build professional networks, and develop skills that are attractive to future employers.

What is the difference between Contract Remote Graduate vs Contract Remote Intern?

AspectContract Remote GraduateContract Remote Intern
Required CredentialsRecent degree or equivalent, some roles may require specific certificationsEnrolled in or recently completed a degree program, no certifications typically required
Work EnvironmentRemote, project-based, entry-level rolesRemote, often part-time or short-term internship positions
Employer & Industry UsageUsed across various industries for entry-level remote rolesCommonly used for training and skill development in multiple sectors

The Contract Remote Graduate role is designed for recent graduates seeking entry-level remote positions, often with more responsibilities and potential for growth. In contrast, the Contract Remote Intern is typically a short-term opportunity for students or recent graduates to gain experience. Both roles are remote and entry-level, but the Graduate position usually involves more advanced tasks and longer commitments.

What are the most commonly searched types of Remote Graduate jobs in California? The most popular types of Remote Graduate jobs in California are:
What are popular job titles related to Contract Remote Graduate jobs in California? For Contract Remote Graduate jobs in California, the most frequently searched job titles are:
What job categories do people searching Contract Remote Graduate jobs in California look for? The top searched job categories for Contract Remote Graduate jobs in California are:
What cities in California are hiring for Contract Remote Graduate jobs? Cities in California with the most Contract Remote Graduate job openings:
Contract Remote Graduate 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 27 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

Apply