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Remote Animal Science Graduate Jobs in California

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Computer Science, or equivalent * Graduate degree and/or 5+ years experience a plus Additional ...

Sysco

Preferred: 4-year degree in culinary arts, business, marketing, agriculture/animal science or ... Sales VP, Director, or Manager #LI-GR1 #LI-Remote OVERVIEW: Sysco is the global leader in ...

Federato Technologies

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data ... Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data ... Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization ...

Tarsus Pharmaceuticals

Director, Toxicology

Irvine, CA · On-site +1

... to ensure scientific rigor, regulatory compliance (GLP, animal welfare, and safety), and high ... Remote work is an option. * We are passionate about our culture! Our Tarsans live our values of ...

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All JobsAnimal Science Graduate JobsRemote Animal Science Graduate JobsRemote Animal Science Graduate Jobs in California

Remote Animal Science Graduate information

What is a remote animal science graduate?

A Remote Animal Science Graduate is someone who has completed a degree in animal science and works remotely, often using digital tools to conduct research, analyze data, or provide consultation related to animal biology, health, nutrition, or management. These professionals may work for academic institutions, agricultural businesses, government agencies, or private companies. Their duties can include writing reports, designing experiments, or offering virtual support to clients or colleagues. Remote roles in animal science have grown due to advances in technology and increased demand for flexible work arrangements.

What are the key skills and qualifications needed to thrive as a remote animal science graduate?

To thrive as a Remote Animal Science Graduate, you need a solid academic background in animal biology, nutrition, and genetics, typically demonstrated by a relevant degree. Familiarity with data analysis software, laboratory information management systems, and virtual collaboration tools is often necessary. Strong written communication, self-motivation, and time management skills help you excel in remote environments and collaborate effectively with teams and stakeholders. These competencies are crucial for successfully conducting research, analyzing findings, and contributing to projects without direct in-person supervision.

What are some common challenges faced by remote animal science graduates, and how can they effectively collaborate with colleagues and supervisors?

Remote Animal Science Graduates often face challenges such as limited hands-on experience and reduced opportunities for in-person networking. To collaborate effectively, it's important to proactively communicate with supervisors and team members through regular virtual meetings, emails, and shared digital platforms. Utilizing online collaboration tools and seeking virtual mentorship can help bridge the gap in hands-on learning, while participating in remote research projects or online seminars can enhance professional development and foster connections within the field.

What is the difference between Remote Animal Science Graduate vs Remote Animal Technician?

AspectRemote Animal Science GraduateRemote Animal Technician
Required CredentialsBachelor's degree in animal science or related fieldAssociate's degree or certification in animal care
Work EnvironmentResearch labs, educational institutions, or industry offices (remote options available)Animal care facilities, laboratories, or clinics (remote roles less common)
Employer & Industry UsageUniversities, research institutions, biotech companiesVeterinary clinics, animal shelters, research labs
Common Search & ComparisonYesYes

The Remote Animal Science Graduate typically holds a bachelor's degree and works in research, education, or industry settings, often with remote opportunities. In contrast, the Remote Animal Technician usually has an associate's or certification and may work in animal care facilities, with fewer remote options. Both roles involve animal-related work but differ in credentials, work environment, and industry usage.

What are popular job titles related to Remote Animal Science Graduate jobs in California?

For Remote Animal Science Graduate jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Animal Science Graduate jobs in California look for?

The top searched job categories for Remote Animal Science Graduate jobs in California are:

What cities in California are hiring for Remote Animal Science Graduate jobs?

Cities in California with the most Remote Animal Science Graduate job openings:

Remote Animal Science Graduate jobs near you
Infographic showing various Remote Animal Science Graduate job openings in California as of August 2026, with employment types broken down into 9% Internship, 82% Full Time, and 9% Contract. Highlights an 100% Remote job distribution.

Junior Computational Biologist (Remote)

South San Francisco, CA • On-site, Remote

Astrix Inc
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Astrix Incexternal

$30 - $34/hr

Full-time

Re-posted 20 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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