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Remote Computer Science Research Assistant Jobs in Santa Clara, CA

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

... * Assist in writing peer-reviewed publications and conference abstracts. * Engage in building ... computer science, electrical engineering, or related fields/experience * Strong Python programming ...

Biohub

Research Scientist, AI

Redwood City, CA · On-site +1

$214K - $375K/yr

PhD in computer science or a related field, or equivalent experience * Significant experience building and scaling deep learning systems, ideally in research-driven environments * Strong engineering ...

MongoDB

Staff Research Scientist

Palo Alto, CA · On-site +1

PhD degree in Computer Science or related field * A track record of coming up with new ideas or ... Opportunity to utilize research vision to innovate the entire company and make real-world impact

Snorkel AI

Research Scientist

Redwood City, CA · On-site +1

$200K - $350K/yr

As a Research Scientist at Snorkel AI, you will bridge the gap between cutting-edge research and ... Redwood City or San Francisco OR REMOTE Main Responsibilities * Design, implement, and validate ...

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Remote Computer Science Research Assistant information

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How much do remote computer science research assistant jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote computer science research assistant in Santa Clara, CA is $25.73, according to ZipRecruiter salary data. Most workers in this role earn between $21.73 and $29.90 per hour, depending on experience, location, and employer.

What is a remote computer science research assistant?

A Remote Computer Science Research Assistant is someone who supports computer science research projects from a remote location, typically via the internet. Their duties often include conducting literature reviews, collecting and analyzing data, developing code or algorithms, and assisting with the preparation of academic papers or presentations. This role requires strong technical skills, good communication, and the ability to work independently while collaborating with a research team online. Remote assistants may work for universities, research institutes, or private companies on topics such as artificial intelligence, cybersecurity, or software engineering.

What are the key skills and qualifications needed to thrive as a remote computer science research assistant?

To thrive as a Remote Computer Science Research Assistant, you need a solid background in computer science fundamentals, programming, and research methodology, often supported by progress toward or completion of a relevant degree. Familiarity with data analysis tools, programming languages like Python or Java, version control systems such as Git, and literature databases is typically required. Strong written communication, self-motivation, and time management skills help you excel when collaborating remotely and handling independent research tasks. These abilities are crucial for efficiently contributing to research projects, meeting deadlines, and maintaining productive collaboration from a remote environment.

What is the difference between Remote Computer Science Research Assistant vs Remote Data Analyst?

AspectRemote Computer Science Research AssistantRemote Data Analyst
Required CredentialsBachelor's or higher in Computer Science or related field; research experienceBachelor's or higher in Data Science, Statistics, or related field; analytical skills
Work EnvironmentAcademic or research institutions, labs, universitiesBusiness, finance, healthcare, or tech companies
Employer & Industry UsageUniversities, research centers, tech labsCorporations, consulting firms, data-driven industries
Common Search & ComparisonYesNo

The Remote Computer Science Research Assistant typically focuses on supporting academic or research projects in computer science, often involving experimental or theoretical work. In contrast, a Remote Data Analyst primarily analyzes data to inform business decisions. While both roles require strong analytical skills and related credentials, their work environments and industry applications differ significantly.

How do remote computer science research assistants typically collaborate with research teams when working from different locations?

Remote Computer Science Research Assistants generally use a mix of collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with their teams. Regular virtual meetings help align research goals, discuss progress, and resolve technical issues. Clear written communication is especially important in this setting, as documentation and asynchronous updates help ensure everyone is on the same page. Team members often share tasks such as data analysis, literature reviews, and experimental design, making collaboration a key part of daily responsibilities.
What are popular job titles related to Remote Computer Science Research Assistant jobs in Santa Clara, CA? For Remote Computer Science Research Assistant jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Research Assistant jobs in Santa Clara, CA look for? The top searched job categories for Remote Computer Science Research Assistant jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Computer Science Research Assistant jobs? Cities near Santa Clara, CA with the most Remote Computer Science Research Assistant job openings:
Remote Computer Science Research Assistant jobs near you

Research Scientist, Applied Science

GenBio AI

Palo Alto, CA • On-site, Remote

$175K - $270K/yr

Full-time

Re-posted 17 days ago

Job description

GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.

This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.

This role combines research in AI for structural biology with the application of our models to real-world scientific challenges. The successful candidate will contribute to model development, lead computational discovery efforts in collaboration with external partners, and help translate research advances into impactful outcomes. Depending on business needs, time may be split between partner-facing scientific projects and internal research initiatives.

Job Requirements

  • PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology,  or a related technical field.

  • Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.

  • Experience in translating machine learning research into real-world scientific impact through collaborations with academic, biotechnology, or pharmaceutical partners.

  • Experience designing, executing, or supporting computational discovery campaigns in protein engineering, antibody discovery, binder design, or related therapeutic discovery efforts.

  • Experience working closely with experimental scientists and using experimental results to guide decisions.

  • Prior experience working on AI for structural biology or drug discovery in either an academic or industry setting.

  • Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment).

  • Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others.

Preferred Qualifications

  • 3+ years of post-PhD experience in an industry or postdoc role

  • Prior experience working at either a start-up or top research industry labs (e.g., OpenAI, FAIR, Deepmind, Google Research).

  • Experience in biological structure prediction algorithms such as Alphafold2 & 3, RosettaFold. 

  • Experience in generative modeling for biological structures and sequences

  • Experience leading scientific collaborations or serving as a technical point of contact for external research partners.

  • Deep knowledge of diffusion models, flow matching, and protein sequence models

$175,000 - $270,000 a year
Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security's E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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