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Computer Science Research Jobs in California (NOW HIRING)

They are seeking research scientists in Generative AI to conduct cutting-edge research and develop ... D. in Computer Science, AI/ML or related fields • Excellent publication record in Computer ...

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Computer Science Research information

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How much do computer science research jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for computer science research in California is $21.93, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $23.51 per hour, depending on experience, location, and employer.

What is a computer science research?

A Computer Science Research job involves investigating fundamental and applied problems in computing to develop new algorithms, technologies, or theories. Researchers work in academia, industry, or government labs, focusing on areas such as artificial intelligence, cybersecurity, and data science. They conduct experiments, publish findings, and collaborate with other experts to advance the field.

What are the typical daily responsibilities of someone working in computer science research?

Professionals in Computer Science Research spend their days designing and conducting experiments, analyzing data, reviewing current literature, and developing new algorithms or models. They often collaborate with cross-functional teams, including other researchers, engineers, and sometimes product managers, to advance the understanding or application of emerging technologies. A significant portion of their work also involves writing and presenting research papers, prototyping solutions, and occasionally mentoring students or junior team members. The role is dynamic and involves both independent investigation and teamwork to solve complex technical problems.

What are the key skills and qualifications needed to thrive in computer science research, and why are they important?

Success in Computer Science Research requires a solid background in computer science theory, algorithms, mathematics, and typically a graduate degree such as a Master's or Ph.D. in a relevant field. Familiarity with programming languages (such as Python, Java, or C++), research tools (e.g., MATLAB, TensorFlow), and publishing research in peer-reviewed venues is highly valuable. Strong analytical thinking, problem-solving, written communication, and collaboration skills allow researchers to effectively explore novel ideas and present their findings. These competencies are critical for advancing technology, contributing original research, and working effectively in academic or industry research environments.

How to become a computer science researcher?

To become a computer science researcher, typically a candidate needs a strong foundation in computer science through a bachelor's degree, followed by advanced education such as a master's or Ph.D. in a specialized area. Developing skills in programming, data analysis, and research methodologies, along with publishing research papers and gaining experience through internships or research projects, is essential.

What are the top 3 jobs with a computer science research degree?

Computer science research degrees often lead to roles such as research scientist, data scientist, and software engineer. These positions typically require strong analytical skills, programming knowledge, and familiarity with machine learning, algorithms, or data analysis tools. They are common in academia, tech companies, and research institutions.

What does a computer science researcher do?

A computer science researcher investigates and develops new algorithms, theories, and technologies related to computing. They often work in academic or industry labs, analyzing data, designing experiments, and publishing findings to advance the field. Strong programming skills and knowledge of research methodologies are essential for this role.

What kind of research can you do in computer science research?

Computer science research involves exploring areas such as algorithms, artificial intelligence, machine learning, cybersecurity, data science, software engineering, and human-computer interaction. Researchers often work on developing new technologies, improving existing systems, and solving complex computational problems using programming languages, data analysis tools, and experimental methods.

What are the most commonly searched types of Computer Science Research jobs in California?

The most popular types of Computer Science Research jobs in California are:

What are popular job titles related to Computer Science Research jobs in California?

For Computer Science Research jobs in California, the most frequently searched job titles are:

What job categories do people searching Computer Science Research jobs in California look for?

The top searched job categories for Computer Science Research jobs in California are:

What cities in California are hiring for Computer Science Research jobs?

Cities in California with the most Computer Science Research job openings:

Infographic showing various Computer Science Research job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $45,616 per year, or $21.9 per hour.

Life Science Research Professional 2

Palo Alto, CA • On-site

Stanford University
Colleges, Universities, and Professional Schools • 11 - 50 employees

$116K - $147K/yr

Other

Posted 2 days ago

New


Stanford University rating

7.9

Company rating: 7.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz


Job description

Life Science Researh Professional 2 – Mackall Lab

The Mackall lab seeks todiscoverfundamental principles that control tumor and immune interactions and to apply these insights todevelopnovel immunotherapies for cancer. Current areas of major focus include in depth studies of the molecular and cellular processes that govern T cell exhaustion, identification of new immune targets expressed by cancer and leveraging emerging synthetic biology platforms to create next generation chimeric antigen receptors that manifest enhanced potency, regulatability, multispecificity and exhaustion resistance. We are a multidisciplinary team, which spans undergraduate researchers, graduate students and postdoctoral fellows, medical students and physicians and early career and senior scientists with expertise in cellular immunology, molecular immunology and oncology, synthetic biology, computational science and clinical investigation. The Mackall laboratory works closely with clinical and translational investigators within the Stanford Center for Cancer Cell Therapy to test novel therapeutics in early phase clinical trials and to identify biomarkers of response and mechanisms of resistance to cancer immunotherapies.

The Stanford Cancer Institute (SCI) is one of an elite number of National Cancer Institute-Designated Comprehensive Cancer Centers in the country, and is a prominent, dynamic, growing and complex Institute within the Stanford University School of Medicine. The SCI actively works to build synergies and collaborations among faculty with cancer-relevant expertise from four Schools and over 30 departments across Stanford University. We seek a LSRP2 to help us enact our mission to reduce cancer mortality through comprehensive programs of cancer research, treatment, education and outreach. Given the SCI’s mission, breadth, and depth, it employs over 325 staff members in a fast-paced, team-oriented, and forward-thinking environment with tremendous opportunities for personal and professional growth. You will be working with an unparalleled leading-edge community of faculty and staff who are fundamentally changing the world of healthcare in the cancer arena.

Reporting to a Senior Research Scientist, the LSRP2 will be conversant in the goals, mission and priorities of the Institute. We are seeking candidates with excellent organizational and communication skills. Our staff run toward challenges, and you will have a demonstrated history of doing the same with a high degree of professionalism, initiative and flexibility.

DESIRED QUALIFICATIONS:
  • Outstanding mammalian cell culture techniques.
  • Expertise in mouse handling, live imaging, gavage, IP injection, blood and tissue extraction and processing, and mouse models of human tumors (NSG and immunocompetent).
  • Expertise isolating and cryopreserving human T cells from buffy coats or leukopacks.
  • Expertise manufacturing and expanding CAR-T cells in vitro.
  • Expertise profiling T cell cytotoxic activity by co-culture assays and by measurement of cytokines secretion via ELISA and intracellular cytokine staining by flow cytometry.
  • Expertise profiling T cell exhaustion and phenotype by multidimensional and spectral flow cytometry and antibody panel design (preferred platforms: Fortessa and Aurora).
  • Expertise in lentivirus and retrovirus engineering, manufacturing, concentration and characterization.
  • Expertise cloning and generating chimeric antigen receptors (CAR) and TCRs utilizing retroviral and lentiviral backbones.
  • Expertise in CRISPR/Cas9, CRISPRoff and CRIPRon technologies for knock-in, knock-out and gene editing.
  • Proficient use of Flowjo, GraphPad, Incucyte and DIVA software, as well as SnapGene for sequence analysis and designing cloning strategies.
  • Expertise in basic cellular and molecular biology techniques including, but not limited to, PCR, DNA gel electrophoresis, DNA and RNA extraction, bacterial transformation, in-fusion cloning, using restriction enzymes for gene engineering, small and large scale plasmid purification, sequencing, western blotting, transfection by electroporation, transduction of viral supernatants into human primary cells and cell lines, processing of mouse blood and tissue dissociation for flow cytometric analysis.
  • Outstanding experimental design, data interpretation and troubleshooting.
PHYSICAL REQUIREMENTS*:
  • Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds.
  • Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts.
  • Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls.
  • Must have correctible vision to perform duties of the job.
  • Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours.
  • Ability to lift heavy objects weighing up to 50 pounds.
  • Ability to work in a dusty, dirty, and odorous environment.
  • Position may require repetitive motion.

*- Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:
  • May require working in close proximity to blood borne pathogens.
  • May require work in an environment where animals are used for teaching and research.
  • Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present.
  • Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator.
  • May require extended or unusual work hours based on research requirements and business needs.
WORK STANDARDS:
  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors bases on training and lessons learned.
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu.
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