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Full Time R&D Scientist Jobs in California (NOW HIRING)

Research Scientist, AI

San Francisco, CA · On-site

$150K - $275K/yr

... R&D. Responsibilities * Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows * Develop AI-augmented tools for materials science, device ...

Scientist I/II

Menlo Park, CA · On-site

$120K - $160K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

R & D group FLSA Status: Exempt Location: Menlo Park, CA Salary Range: $120,000 - $160,000 per annum Reports to: Chief Science Officer Scope of Job Job Summary: This Scientist I/II position will ...

Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 ...

Strategic Account Executive

San Diego, CA · On-site

$100K - $155K/yr

Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 ...

Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 ...

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analytical Chemist position supporting the Surgical Analytical + Materials Science R+D function in Rochester, NY. The role is primarily responsible for analytical testing of medical devices ...

Principal Data Scientist - Oncology

San Diego, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge ... Extend and curate Oncology R&D-relevant ontologies (e.g., diseases, drugs, targets, pathways, etc ...

GIS Scheduler

Camarillo, CA · On-site

$25 - $29/hr

Fulltime, Non-exempt WAGE SCALE: $25.00-$29.00 COMPANY Since 1991, R&D Transportation Services, Inc ... SUMMARY R&D's Transportation Planning Department is the gateway to how R&D accomplishes its ...

Scientist, Safety

San Diego, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... brave science. For more information, visitneurocrine.com, and follow the company onLinkedIn,X ... Participate in multidisciplinary teams at Neurocrine involving R & D project teams, clinical ...

Scientist, Safety

San Diego, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... science. For more information, visit neurocrine.com, and follow the company on LinkedIn, X ... Participate in multidisciplinary teams at Neurocrine involving R & D project teams, clinical ...

Showing results 21-40

Full Time R D Scientist information

What are the key skills and qualifications needed to thrive as a full time R&D scientist?

To thrive as a Full Time R&D Scientist, you need a solid background in scientific research, analytical techniques, and typically an advanced degree (such as a Ph.D. or M.S.) in a relevant field. Familiarity with laboratory instruments, data analysis software (e.g., MATLAB, Python, or specialized lab software), and adherence to industry regulations are commonly required. Critical thinking, creativity, and strong communication skills help drive innovation and effective collaboration. These abilities enable R&D Scientists to design experiments, solve complex problems, and deliver impactful results that advance organizational objectives.

What does a full time R&D scientist do?

A Full Time R&D (Research and Development) Scientist is responsible for designing, conducting, and analyzing experiments to develop new products or improve existing ones. They work in a variety of industries, including pharmaceuticals, technology, and manufacturing, to innovate and solve complex problems. Their daily tasks often include literature review, laboratory work, data analysis, and collaboration with other scientists and engineers. R&D Scientists play a crucial role in driving innovation and ensuring their company remains competitive in the market.

What are some common challenges full time R&D scientists face when balancing research innovation with project deadlines?

Full Time R&D Scientists often navigate the challenge of fostering innovation while adhering to strict project timelines and deliverables. Balancing creative experimentation with the need for timely results requires strong project management skills and the ability to prioritize tasks effectively. Additionally, scientists must collaborate closely with cross-functional teams, such as engineers and product managers, to align their research with broader organizational goals. Open communication and adaptability are key to overcoming these challenges and ensuring both scientific advancement and project success.

What cities in California are hiring for Full Time R&D Scientist jobs?

Cities in California with the most Full Time R&D Scientist job openings:

Infographic showing various Full Time R&D Scientist job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 9% Part Time, 2% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Research Scientist, AI

Substrate

San Francisco, CA • On-site

$150K - $275K/yr

Full-time

Re-posted 29 days ago


Job description

Research Scientist, AI
Substrate is addressing one of the most important technological problems facing the United States. At the intersection of advanced manufacturing and cutting-edge physics, we are developing technologies that will reshape the semiconductor industry and strengthen America's technological leadership. We are a team of world-class scientists, engineers, and technical experts building technology for the United States.
Summary
As a Research Scientist working with AI, you will accelerate and augment R&D workflows by applying machine learning to scientific simulations and modeling while simultaneously building internal AI capabilities across the organization. This role sits at the intersection of cutting-edge physics and artificial intelligence, and you'll work hands-on to develop AI-augmented tools that enable breakthrough research, and build the infrastructure and expertise that empowers our technical teams to leverage AI in their own work. Whether you are a physicist who has embraced machine learning or an AI expert with deep scientific domain knowledge, you will play a pivotal role in defining how we utilize AI to accelerate our own internal R&D.
Responsibilities
  • Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows
  • Develop AI-augmented tools for materials science, device physics, or accelerator physics applications
  • Build internal AI infrastructure and capabilities to enable research teams across the organization
  • Train and mentor scientists and engineers on integrating AI/ML into their research workflows
  • Implement surrogate models, physics-informed neural networks, or generative approaches for scientific problems
  • Develop data pipelines and frameworks for scientific machine learning across distributed teams
  • Collaborate with computational physicists and experimentalists to identify high-impact AI applications
  • Set AI best practices and establish standards for ML-augmented R&D

Required Qualifications
  • 5+ years professional or academic research experience in physical sciences, engineering, or related field
  • 2-3+ years hands-on experience applying machine learning to scientific or technical problems
  • Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, JAX, or similar)
  • Deep understanding of scientific computing, numerical methods, and computational modeling
  • Proven ability to translate scientific problems into machine learning approaches
  • Experience building tools, infrastructure, or capabilities used by technical teams

Preferred Qualifications
  • PhD in Physics, Materials Science, Computer Science, Applied Mathematics, or related field
  • Publications applying ML to scientific computing, simulation, or experimental data analysis
  • Experience with physics-informed machine learning or scientific foundation models
  • Background in accelerator physics, semiconductor devices, materials modeling, or related domains
  • Track record of enabling technical teams through tool development or mentorship

Salary Range
$150,000-$275,000 USD
Substrate is an equal opportunity employer. It provides equal employment opportunity to all applicants without regard to race, color, religion, national origin, disability, medical condition, marital status, sex, gender, age, military or veteran status, or any other characteristic protected by applicable federal, state, or local laws.
Substrate will provide reasonable accommodations to applicants with disabilities. If you need an accommodation during the hiring process, please let your recruiter know.
Applicants must be legally authorized to work in the United States. This position is not eligible for visa sponsorship.