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Masters In Animal Science Jobs in Santa Rosa, CA

Preferred Qualifications Masters Degree or PhD in Computer Science, Engineering, Math, or Physics from a strong program. Familiarity with macOS/iOS development ecosystems. Active personal interest in ...

Technical Program Manager

Bodega Bay, CA · On-site

$170K - $230K/yr

Advanced degree in Materials Science, Materials Engineering, Chemical Engineering, or a related engineering discipline; MBA is a plus. * 5+ years of experience in semiconductor manufacturing, wafer ...

New

Technical Program Manager

Bodega Bay, CA · On-site

$170K - $230K/yr

Advanced degree in Materials Science, Materials Engineering, Chemical Engineering, or a related engineering discipline; MBA is a plus. * 5+ years of experience in semiconductor manufacturing, wafer ...

New

Physician Assistant

Santa Rosa, CA · On-site

$109K - $148K/yr

Masters of Science in Physician Assistant Studies (graduate of an accredited Physician Assistant program) * Passed the Physician Assistant National Certifying Examination (PANCE) * Current licensed ...

Showing results 21-40

Masters In Animal Science information

See Santa Rosa, CA salary details

$10

$34

$78

How much do masters in animal science jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for masters in animal science in Santa Rosa, CA is $34.37, according to ZipRecruiter salary data. Most workers in this role earn between $21.41 and $40.68 per hour, depending on experience, location, and employer.

What kind of job do you get with a Masters in Animal Science degree?

A person with a Masters in Animal Science can pursue careers such as animal scientist, livestock manager, research scientist, or animal nutritionist. These roles often involve working in research facilities, farms, or laboratories, and may require knowledge of animal biology, nutrition, and management practices.

What is a masters in animal science?

A Masters in Animal Science job typically involves research, teaching, or applied work focused on animal nutrition, genetics, health, or production. Graduates may work in academia, government agencies, agricultural industries, or animal welfare organizations. Roles can include animal nutritionist, livestock consultant, research scientist, or extension specialist. Many positions involve improving animal health, productivity, and sustainability in agriculture. Advanced degrees may also lead to leadership roles in research or policy development.

What are the key skills and qualifications needed to thrive in a masters in animal science position?

To thrive with a Masters in Animal Science, you need advanced knowledge in animal physiology, nutrition, genetics, and research methodologies, supported by a relevant graduate degree. Familiarity with laboratory equipment, data analysis software, and regulatory compliance (such as animal welfare certifications) is typically required. Strong communication, teamwork, and problem-solving skills are highly valued in this role. These competencies are essential to ensure high-quality research, effective animal management, and meaningful collaboration within academic, agricultural, or research institutions.

Is a master's degree in animal science worth it?

A master's in animal science can enhance job prospects in research, management, and specialized roles within agriculture, veterinary, or conservation fields. It often leads to higher earning potential and opportunities for advanced positions, especially when combined with practical experience and relevant skills such as data analysis or animal handling.

What can you do with a master's in animal science?

A master's in animal science prepares individuals for careers in research, animal management, nutrition, and breeding in settings such as farms, laboratories, and industry. Graduates often work as animal scientists, livestock managers, or extension specialists, utilizing skills in data analysis, animal health, and husbandry. Advanced roles may require additional certifications or experience depending on the specific field.

What types of career paths are available for someone with a masters in animal science?

With a Masters in Animal Science, you can pursue careers in fields such as research, animal nutrition, livestock production management, extension services, regulatory agencies, and academia. Many graduates find opportunities working for agricultural companies, government agencies, universities, or non-profits focused on animal welfare. Some positions involve hands-on animal care or management, while others focus on laboratory research or policy development. This degree also provides a solid foundation for pursuing a PhD or moving into specialized roles in animal genetics, nutrition consulting, or science communication. Career advancement often comes with additional experience, certification, or continuing education in your chosen specialty.

What job categories do people searching Masters In Animal Science jobs in Santa Rosa, CA look for? The top searched job categories for Masters In Animal Science jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Masters In Animal Science jobs? Cities near Santa Rosa, CA with the most Masters In Animal Science job openings:
Infographic showing various Masters In Animal Science job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $71,498 per year, or $34.4 per hour.

Machine Learning Engineer

Kanak Elite Services Inc

Bodega Bay, CA • Remote

Contractor

Re-posted 22 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Machine Learning Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Title:  Machine Learning Engineer
Location:  South San Francisco, CA  - hybrid role in Bay Arear
Position Type:  Contract 
 

Note: DO NOT SEND WITHOUT MOLECULAR EXPERIENCE, 

Work on ML workflows for molecular property prediction & generative modeling to accelerate drug discovery. 3–5 yrs esp. or PhD with publications in molecular design.

Must have Masters or PH.D. Must have experience in working environment or while getting Master’s or no to very little work exp with PH.D  in Molecular design. Need to have portfolio of their work or be published. Find me Machine Learning with Molecular experience in Bay Area or someone who will relocate as last resort. 
MindSource is looking for a Machine Learning Engineer to join our client's team in South San Francisco, CA.  They will be developing and deploying advanced computational methods for molecular design.  This is a 12-month hybrid contract.  

About the Role

  • Build pipelines for probabilistic molecular property prediction and Bayesian acquisition to power active learning–driven drug discovery.
  • Engineer workflows for molecular generative modeling and other innovative design approaches.
  • Collaborate with machine learning scientists, engineers, computational chemists, and biologists.
  • Partner with therapeutic development teams to analyze existing molecules and design new candidates.
  • Contribute to ongoing initiatives while driving new research directions.

Qualifications

  • PhD in Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics, or related quantitative field — OR MS + 3+ years of relevant industry experience.
  • Demonstrated expertise in production-ready ML workflows (e.g., PyTorch + Lightning + Weights & Biases).
  • Strong track record of achievement (e.g., high-impact first-author publication or equivalent).
  • Excellent written, visual, and verbal communication skills.

Preferred Experience

  • Knowledge of physical modeling (e.g., molecular dynamics) and cheminformatics (e.g., RDKit).
  • Background in molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, or statistical methods.
  • Hands-on experience with Python, PyTorch, Torch Geometric, PyTorch Lightning, RDKit, and BoTorch.
  • Public portfolio of computational projects (e.g., GitHub).