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Remote Computer Science Research Assistant Jobs in California

Senior ML/Research Scientist

Mountain View, CA ยท 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 ...

$120K - $190K/yr

PhD or several years research experience in computer science, artificial intelligence, machine ... Both remote and in-person (Berkeley, CA or Singapore) are possible. We sponsor visas for in-person ...

You have good understanding of foundational computer science concepts like design patterns, data ... About Tilda Research We are a clinical trial network built from the ground up, suitable for the ...

S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific ...

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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:
Senior ML/Research Scientist

Senior ML/Research Scientist

NextSense

Mountain View, CA โ€ข On-site, Remote

$116K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Company Description
About NextSense:
NextSense's vision is to be the foundation of brain health and establish a new paradigm in neurocare. Powered by a disruptive brain-sensing earbud technology and digital ecosystem, our mission is to establish new ways of diagnosing and optimizing therapy for diverse neurological conditions. We hope to unlock brain health for everyone with real world data insights and practical, scientific wisdom for daily living.
Job Description
About the Job:
As a ML/Research Scientist, you will play a crucial role in developing next-generation wearable neurotechnologies. You will design, implement, and lead innovative research to develop novel digital biomarkers and applications for various neurological conditions. You will work with industry partners and academic leaders on clinical trials and collaborative research projects. You will collaborate with an interdisciplinary team of scientists, medical specialists, HW/SW engineers, and product managers to translate fundamental scientific knowledge into clinical and consumer products.
Responsibilities:
  • Design, execute, and present cutting-edge research to advance our biosensing earbud technology.
  • Apply signal processing, machine learning, and statistical analysis to decode biosignals.
  • Develop algorithms for automated detection of healthy and pathological neural signatures
  • Contribute to the implementation of data analysis pipelines for large-scale physiological signals from clinical studies.
  • Collect, analyze, and interpret data for pilot and clinical studies.
  • Collaborate with engineering and product teams to integrate the latest research into prototypes and products.
  • Assist in writing peer-reviewed publications and conference abstracts.
  • Engage in building tools, libraries, or processes that are used throughout the company or in the open-source community.

Qualifications
Minimum Qualifications:
  • Masters in computational neuroscience, systems neuroscience, bioengineering, bioinformatics, computer science, electrical engineering, or related fields/experience
  • Strong Python programming skills; ability to demonstrate mastery through work experience or personal projects
  • Strong technical skills associated with biosignal time-series analysis, including signal processing, machine/deep learning, advanced statistics, and data visualization
  • Excellent written, verbal, interpersonal communication, and presentation skills
  • Passionate about neurotechnologies and their potential to benefit society

Preferred Qualifications:
  • 5+ years industry experience
  • Comfortable conducting conventional and mobile EEG recordings or willing to learn
  • Experience with cloud-based platforms (GCP preferred)
  • Ability to strive in a fast-paced startup environment
  • Demonstrated productive publishing record
  • Experience with version control (e.g., Git)

Additional Information
Benefits:
  • Our careers benefits include but are not limited to the following:
  • Flexible/hybrid work schedule (built-in work from home days)
  • Equity
  • Retirement savings (no employer matching at this stage)
  • Healthcare Flexible Spending Account (FSA)
  • Medical, dental, vision, and life insurance
  • Wellness-bundle, commuter benefits
  • Paid vacation, holidays, parental leave

Location:
Mountain View, CA (not a remote position)
Employment Eligibility:
At this time NextSense is only considering candidates for this role who are eligible to legally work in the US without any Visa sponsor/transfer requirements now or in the future. Eligible candidates who can work on a TN Visa from Mexico or Canada will be considered.