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Remote Computer Science Research Assistant Jobs in California

Computational Materials Scientist

Walnut Creek, CA ยท On-site +1

$90K - $140K/yr

... data science, and computer science to help us develop a software framework for designing and ... materials research is done in the future * work with top-tier human capital in research ...

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

Research Engineer

San Francisco, CA ยท On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Research Engineer

San Francisco, CA ยท On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

We are based in India and USA and this position will be fully remote, working from home. You will ... scientists and clinical operations experts to reimagine the infrastructure for modern health ...

Lead AI Research Scientist

San Jose, CA ยท 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 ...

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 ...

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Remote Computer Science Research Assistant information

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, and why are they important?

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 California? For Remote Computer Science Research Assistant jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Research Assistant jobs in California look for? The top searched job categories for Remote Computer Science Research Assistant jobs in California are:
What cities in California are hiring for Remote Computer Science Research Assistant jobs? Cities in California with the most Remote Computer Science Research Assistant job openings:

Computational Materials Scientist

Mat3ra

Walnut Creek, CA โ€ข On-site, Remote

$90K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Overview

We look for computational materials scientists excited about bridging the gap between materials/chemistry, data science, and computer science to help us develop a software framework for designing and discovering new advanced materials and chemicals.

Work will focus on (1) the application of nanoscale modeling to large sets of materials, surfaces, and reaction pathways with minimal human input, (2) organizing the data produced by the models and experimental validation, (3) establishing artificial intelligence approaches using the data.

Successful candidates will continue into leadership roles as we grow.
This is a full-time permanent position.


Responsibilities
  • software development
  • materials modeling with AI/ML
  • product design and concept development
  • work closely with the engineering team, relay and explain complex concepts

Why Join
  • see the results of your creative work used directly by the world's leading enterprises
  • realize your ambitions and directly define how materials research is done in the future
  • work with top-tier human capital in research, engineering, and venture capital

Requirements

Scientific

  • excellent knowledge of chemistry/materials science (Ph.D. from a tier-1 lab)
  • prior work on advanced electronic structure methods (VASP, Quantum ESPRESSO, Gaussian, NWChem, Siesta, or similar)
  • prior experience with machine learning

Engineering

  • python (advanced)
  • Linux/RedHat/Bash (advanced)
  • MongoDB/JSON (intermediate)
  • message-passing interface / OpenMP (intermediate)
  • other (GPU, TPU) - willing to learn

Other

  • ability to learn and apply new concepts rapidly
  • extreme attention to details

Plus

  • familiarity with AWS EC2, Microsoft Azure
  • familiarity with SaltStack or similar

Benefits

Company Benefits Include

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Free Food & Snacks
  • Wellness Resources
  • Stock Option Plan

Compensation

  • $90,000 - $140,000 salary range
  • 0.1 - 0.5% stock options