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Trainee Computer Science Research Jobs in California

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 ...

Research Project Manager

Palo Alto, CA · On-site

$100 - $124/hr

Stanford University is seeking a Social Science Research Professional 3 to support two distinct ... Lead the day-to-day operations of the projects, supervising other staff and trainees. Ensure ...

New

... computer applications. * Ability to work independently and collaboratively on research projects. Desired Qualifications * Coursework in Sociology, Social Sciences, Statistics, or a related field.

Research Project Manager

Palo Alto, CA · On-site

$100 - $124/hr

Stanford University is seeking a Social Science Research Professional 3 to support two distinct ... Lead the day-to-day operations of the projects, supervising other staff and trainees. Ensure ...

New

Showing results 41-60

Trainee Computer Science Research information

What is the difference between Trainee Computer Science Research vs Junior Software Developer?

AspectTrainee Computer Science ResearchJunior Software Developer
CredentialsTypically pursuing or holding a degree in computer science or related fieldUsually holds a bachelor's degree in computer science or software engineering
Work EnvironmentResearch labs, academic institutions, or R&D departmentsSoftware companies, startups, or IT departments
Employer & IndustryUniversities, research institutes, tech companies with R&D focusSoftware development firms, tech companies, IT services
Work FocusResearch projects, algorithm development, experimentationApplication development, coding, debugging

In summary, Trainee Computer Science Research roles focus on research, experimentation, and academic collaboration, often in labs or universities. Junior Software Developers primarily work on coding, building applications, and software implementation in industry settings. While both roles require a computer science background, their work environments and objectives differ significantly.

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 Trainee Computer Science Research jobs in California?

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

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

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

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

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

Infographic showing various Trainee Computer Science Research job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution.

Life Science Research Professional 3 (1 Year Fixed-Term)

Stanford University

Stanford, CA • On-site

Full-time

Posted 23 days ago


Key responsibilities

  • Develop machine learning software to recognize features in human images.

  • Assist in designing research studies, analyze data, and maintain records.

  • Perform complex experiments, interpret results, and contribute to research protocols.


Stanford University rating

7.9

Company rating: 7.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

213th of 631 rated colleges and universities


Job description

Job Summary:
Stanford University is seeking a Life Science Research Professional 3 to perform complex functions and activities involved in defined research projects, and independently conduct a major portion of the research project(s). This role involves developing machine learning software, assisting in study design, conducting independent research, and ensuring compliance with safety regulations.
Responsibilities:
• Develop machine learning software to efficiently recognize features in human images.
• Provide assistance to investigators in the design and development of research studies, and responsible for data analysis and record-keeping.
• Design new research studies in collaboration with the principal investigator, project scientists, and research associates.
• Carry out independent research projects as warranted.
• Responsible for submission of protocols and implementation of studies, including data analysis and drafting of manuscripts.
• Directly supervise various personnel during experiments.
• Ensure safety, IACUC, AALAC, EH&S, and CUPA compliance in research study area.
• Contribute substantively to the preparation of papers for publication, especially in the results section.
• Supervise (either formally or informally) staff or students as needed, including oversight and instruction on techniques, as well as consultation on project work.
• Serve as technical resource for other research staff.
• Perform complex (lab and/or field) experiments for a major portion of the research project.
• Maintain detailed records of experiments and outcomes.
• Interpret and analyze results, often where few guidelines exist.
• Based on prior results, contribute to development of new research protocols and procedures or adaptation of existing protocols.
• Make recommendations on plan design and/or research direction to principal investigator.
• Work with health and safety department to ensure lab complies with regulations and all required trainings.
• Participate in multidisciplinary teams across different faculties or schools.
• Perform ongoing literature review to remain current with new procedures and related research; present findings for lab work group.
• Oversee supply and equipment budget under minimal supervision of principal investigator or business manager.
• Work with health and safety department to ensure lab complies with regulations and all required trainings.
• Formally supervise and train new staff or students as needed, including hiring, performance management, and related duties.
• Provide instruction on techniques and consultation on project work.
Qualifications:
Required:
• BS in engineering degree and MS degree that includes analytics and one year of relevant industry experience including machine learning; or PhD in related science field.
• Experience in the development and implementation of machine learning code.
• Skills to organize information and keep accurate records for each experiment.
• Excellent organizational and time management skill.
• Excellent interpersonal and oral communication skills to coordinate with a wide range of personnel, including subordinates, supervisors, faculty, post-docs, students, and research animal staff.
• Excellent computer skills using spreadsheet, database, and word processing software; experience with Windows and DOS; Experience with Python or C, SQL, R, Tableau, MongoDB, NoSQL, Google Cloud, PySpark.
• Ability to learn and follow procedures with minimal supervision; demonstrated ability to understand and follow written procedures and verbal instructions.
• Skills to clean, order supplies for, and maintain organization within a research lab.
• Skills to directly supervise employees and to indirectly supervise a variety of researchers and collaborators on multiple, concurrent in vivo studies.
• General computer skills, experience with databases and scientific applications, and ability to quickly learn and master computer programs.
• Strong analytical skills and excellent judgment.
• Ability to work under deadlines with general guidance is essential.
• Excellent organizational skills and demonstrated ability to complete detailed work accurately.
• Developing project management skills.
• 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.
• 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 may 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.
Company:
Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business. Founded in 1885, the company is headquartered in Stanford, USA, with a team of 10001+ employees. The company is currently Late Stage.

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