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Remote Computer Science Research Jobs in Santa Clara, CA

GenBio AI

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$175K - $270K/yr

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 ...

GenBio AI

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$175K - $270K/yr

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 ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

... computer science, electrical engineering, or related fields/experience * Strong Python programming ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

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

Workato

Lead AI Research Scientist

San Jose, CA · On-site +1

$357K/yr

Quartz ranked us the #1 best company for remote workers Responsibilities Workato's AI Research Lab ... MS/PhD in Computer Science, Machine Learning, or a related field. * 5+ years leading applied ...

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 information

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

AspectRemote Computer Science ResearchRemote Software Developer
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or higher in CS, coding skills
Work EnvironmentAcademic or research institutions, labsTech companies, startups, freelance projects
Employer & Industry UsageUniversities, research labs, government agenciesSoftware firms, tech industry, consulting
Common Search & Comparison IntentResearch focus, academic rolesDevelopment projects, coding jobs

Remote Computer Science Research typically involves academic or research roles requiring advanced degrees and a focus on theoretical or experimental work. Remote Software Developers focus on building and maintaining software applications, often with coding skills and industry experience. While both roles involve computer science, their work environments, credentials, and industry applications differ significantly.

How do remote computer science researchers typically collaborate with teams and manage project progress?

Remote computer science researchers often collaborate using digital communication platforms such as Slack, Zoom, and collaborative coding tools like GitHub. Regular virtual meetings, shared documentation, and version control systems are essential for synchronizing efforts and tracking project milestones. While working remotely can offer flexibility, it also requires strong self-management and proactive communication to ensure research goals are met and team members stay aligned. Building rapport and maintaining open channels for feedback help address challenges and foster a productive, supportive research environment.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Researcher, and why are they important?

To excel as a Remote Computer Science Researcher, you need advanced knowledge in algorithms, data structures, and research methodologies, often supported by a master's or doctoral degree in computer science or a related field. Familiarity with programming languages (such as Python or C++), version control systems, and collaborative research platforms is typically required. Strong analytical thinking, self-motivation, and effective written communication are vital soft skills for independent work and sharing findings with the research community. These abilities are crucial for producing impactful research, collaborating remotely, and advancing knowledge in the field.

Is computer science dead due to AI?

Remote computer science research remains a vital field as AI advances, requiring expertise in algorithms, data analysis, and programming. AI tools can enhance research productivity but do not replace the need for foundational computer science skills and critical thinking. Continuous learning and adaptation are essential for computer scientists in this evolving landscape.

How to make $1000 a week remotely?

A remote computer science researcher can earn $1000 a week by taking on freelance projects, consulting, or contract work that leverages specialized skills such as programming, data analysis, or machine learning. Building a strong portfolio, networking, and using platforms like Upwork or Freelancer can help secure consistent high-paying assignments. Additionally, developing expertise in in-demand tools and obtaining relevant certifications can increase earning potential.

How can I make $100,000 a year working from home?

A remote computer science researcher can earn $100,000 annually by gaining specialized skills in high-demand areas such as machine learning, data analysis, or cybersecurity, and building a strong portfolio or reputation. Advanced degrees, certifications, and experience with programming languages like Python or R can also increase earning potential, often through consulting, freelance projects, or research positions with competitive salaries.

Can I work remotely with a computer science degree?

Remote computer science research positions are common and often require a degree in computer science or related fields. These roles typically involve skills in programming, data analysis, and research tools, and may require familiarity with collaboration platforms and remote work best practices.

What is remote computer science research?

Remote computer science research involves conducting studies, experiments, or theoretical work in computer science from a location outside of a traditional lab or office setting, typically from home or any place with internet access. Researchers use online collaboration tools, cloud computing resources, and virtual meetings to communicate with team members, access data, and share results. This setup allows for greater flexibility and can broaden participation in research projects across different geographic locations. The work may include areas such as artificial intelligence, cybersecurity, software engineering, or data science, and often requires strong self-motivation and excellent communication skills.
What are the most commonly searched types of Computer Science Research jobs in Santa Clara, CA? The most popular types of Computer Science Research jobs in Santa Clara, CA are:
What are popular job titles related to Remote Computer Science Research jobs in Santa Clara, CA? For Remote Computer Science Research jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Research jobs in Santa Clara, CA look for? The top searched job categories for Remote Computer Science Research jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Computer Science Research jobs? Cities near Santa Clara, CA with the most Remote Computer Science Research job openings:
Remote Computer Science Research jobs near you

Research Scientist, Applied Science

GenBio AI

Palo Alto, CA • On-site, Remote

$175K - $270K/yr

Full-time

Re-posted 8 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

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.