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Animal Science Jobs in Rohnert Park, CA (NOW HIRING)

Vazyme

Biotech Sales Rep. (San Francisco)

Sonoma, CA · On-site

This role will focus on developing and managing business opportunities within the biotech, pharmaceutical, diagnostics, and life sciences industries. The ideal candidate should have a strong Next ...

Petco

Veterinary Assistant

Santa Rosa, CA · On-site

$17.25 - $21.50/hr

Together, we support thousands of local animal welfare groups nationwide and have helped find homes for approximately 7 million animals through in-store adoption events. Position Purpose: The purpose ...

Petco

Veterinary Assistant

Santa Rosa, CA · On-site

$17.25 - $21.50/hr

Together, we support thousands of local animal welfare groups nationwide and have helped find homes for approximately 7 million animals through in-store adoption events. Position Purpose: The purpose ...

Abbott

Extraction Laboratory Technician II

Santa Rosa, CA · On-site

$18.70 - $37.40/hr

A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. The Opportunity Abbott ...

Abbott

Extraction Laboratory Technician II

Santa Rosa, CA · On-site

$18.70 - $37.40/hr

A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. The Opportunity Abbott ...

Abbott

Extraction Laboratory Technician II

Santa Rosa, CA · On-site

$18.70 - $37.40/hr

A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. The Opportunity Abbott ...

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Animal Science information

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$10

$23

$30

How much do animal science jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for animal science in Rohnert Park, CA is $23.32, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $27.69 per hour, depending on experience, location, and employer.

What is animal science?

Animal science is the study of the biology, care, and management of animals that are under human control, such as livestock, companion animals, and laboratory animals. It covers topics like animal nutrition, genetics, physiology, behavior, and welfare. Professionals in this field work to improve animal health, productivity, and well-being, often contributing to food production, research, and public health. Careers in animal science can include roles in research, agriculture, veterinary support, and animal welfare organizations.

What are animal science jobs?

Animal science jobs include veterinarians, biologists, agricultural researchers, and livestock management positions. There are also opportunities in nutrition, breeding, animal behavior, food processing and manufacturing, and education. Your duties in an animal science job may vary significantly depending on the position. As a veterinarian, for example, your primary responsibilities are to provide medical care for animals, but you may also aid in research to support clinical breakthroughs, herd health, and other facets of animal science.

What are the key skills and qualifications needed to thrive as an animal scientist, and why are they important?

To thrive as an Animal Scientist, you need a solid background in biology, animal physiology, genetics, and nutrition, typically supported by a bachelor's or advanced degree in animal science or a related field. Familiarity with laboratory equipment, data analysis software, and sometimes certifications like Professional Animal Scientist (PAS) are commonly required. Strong observation skills, critical thinking, and effective communication make candidates stand out in research and collaboration settings. These skills ensure accurate research, ethical animal care, and the advancement of agricultural or biomedical goals.

What are some common challenges faced by professionals working in animal science, and how can they be addressed?

Professionals in animal science often encounter challenges such as balancing animal welfare with productivity goals, staying updated with rapidly evolving research, and managing biosecurity risks. Addressing these challenges involves continuous professional development, effective collaboration with veterinarians and other specialists, and adherence to ethical and safety standards. Additionally, strong communication skills are essential for working with diverse teams, including farm staff, researchers, and regulatory bodies, to ensure best practices are consistently implemented.

Is animal science a useful degree?

Animal science is a useful degree for careers in livestock management, research, veterinary assistance, and the agricultural industry. It provides knowledge of animal biology, nutrition, and husbandry, often requiring hands-on experience and certifications. Graduates can work in farms, laboratories, or regulatory agencies, with job prospects depending on specialization and location.

What can I be with an animal science degree?

An animal science degree prepares individuals for careers such as animal technician, livestock manager, research scientist, or veterinarian technician. It provides knowledge of animal biology, management, and nutrition, often requiring hands-on experience and certifications for certain roles.
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What cities near Rohnert Park, CA are hiring for Animal Science jobs?

Cities near Rohnert Park, CA with the most Animal Science job openings:

Animal Science jobs near you
Infographic showing various Animal Science job openings in Rohnert Park, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $48,499 per year, or $23.3 per hour.

Machine Learning PhD Student Contributor

Cobalt

Santa Rosa, CA • On-site

Other

Posted 5 days ago

Key responsibilities

  • Produce written reasoning traces on complex ML problems and draft expert reference answers to technical questions.

  • Evaluate model-generated technical content by comparing responses, articulating strengths, and identifying points of failure in reasoning.

  • Assess whether conclusions are supported by derivations, code, or experimental evidence, and contribute to project-specific annotation guidelines and quality standards.

Job description

About the role:

Cobalt is seeking PhD-qualified machine learning researchers with direct experience designing, running, and evaluating original ML research. This opportunity is suited to researchers who have worked in academic ML labs, industry research groups, or frontier lab environments, and who understand how technical claims are established, tested, and supported by evidence.

You may currently work, or have previously worked, as a PhD candidate, Postdoctoral Researcher, Research Scientist, Research Engineer, Applied Scientist, Member of Technical Staff, or in a related role.

You do not need prior experience in data annotation or model evaluation. You must, however, have contributed meaningfully to at least one substantive ML research output, and you must be comfortable reading papers, interpreting experimental results, and judging whether stated conclusions follow from the underlying evidence.


What you'll do:

Depending on the project, you may:

  • Produce written reasoning traces on hard ML problems, capturing how you reach a solution rather than only the solution itself, and draft expert reference answers to technical questions
  • Author novel problems in your subfield that have verifiable or defensible correct answers
  • Evaluate model-generated technical content: compare and rank responses, articulate what makes the stronger one stronger, and identify the specific step at which a chain of reasoning breaks down
  • Assess whether stated conclusions are supported by the underlying derivation, code, or experimental evidence
  • Design rubrics and partial-credit criteria for scoring multistep technical tasks, and contribute subject-matter expertise to benchmark and dataset development

Projects follow their own annotation guidelines and quality standards, and you will work with feedback from reviewers and lab research teams.


Required qualifications:

  • PhD, completed or in progress, in machine learning, computer science, statistics, mathematics, physics, or a closely related quantitative discipline, with research that is substantially ML focused
  • Direct experience authoring, co-authoring, or substantively contributing to at least one ML research output, such as a peer-reviewed paper, preprint, thesis chapter, or comparable technical artifact
  • Demonstrated depth in at least one area, for example optimization, reinforcement learning, language model training and post-training, learning theory, probabilistic methods, computer vision, natural language processing, or systems for ML
  • Ability to interpret papers, derivations, code and experimental results, and to explain your reasoning clearly in writing
  • Strong attention to detail, a commitment to factual accuracy, and the ability to work independently to agreed timelines


Why join Cobalt AI:

  • Advance frontier AI where it counts. Apply your research expertise to the data that frontier labs cannot obtain any other way, where your reasoning directly shapes how the next generation of models works through technical problems.
  • Grow professionally. Expand your influence through evaluation projects, advisory roles, and research collaborations, while deepening your understanding of how frontier models are trained and assessed.
  • Work with a top-tier network. Collaborate with researchers from leading institutions and labs on high-impact, flexible work.
  • Set your own schedule. Flexible 10 to 40 hour weeks that fit around your research position and your life.
  • Competitive pay. Rates vary by project and are determined by a number of factors, including scope, skillset, and experience.

Apply