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Remote Computer Science Research Assistant Jobs in Orlando, FL

Bachelor's degree in Computer Science, Cyber Security, Information Security, Engineering ... Experience with Performance Analytics, Predictive Intelligence, Now Assist, or generative ...

The Program Manager, Remote Services is responsible for driving and coordinating the activities for ... Bachelor's degree in a technical discipline (Engineering or Computer Science) from a four-year ...

AP Statistics Tutor

Orlando, FL ยท Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... social science research, public policy, and medical studies. * Curriculum Awareness & Adaptive ...

Deputy CAD Administrator

Orlando, FL ยท On-site +1

$50/hr

Position can be located in any of our offices, hybrid or fully remote Key Responsibilities CAD Standards & Governance * Assist in maintaining and enforcing company CAD standards, libraries, and best ...

Navigate multiple computer applications while providing customer support. * Resolve routine ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

New

You will also work closely with colleagues in Technology, Research & Development, Sales, Project ... Bachelor's degree in business, marketing, MIS, or computer science preferred. * 2-4 years of ...

Remote Location: Remote Duration: 12+ months Responsibilities This Intermediate-level role is ... Bachelor's Degree in Computer Science or Information Systems; or equivalent combination of ...

Showing results 21-40

Remote Computer Science Research Assistant information

See Orlando, FL salary details

$7

$20

$29

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

As of Aug 22, 2026, the average hourly pay for remote computer science research assistant in Orlando, FL is $20.45, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $23.80 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.

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 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.

What are popular job titles related to Remote Computer Science Research Assistant jobs in Orlando, FL?

For Remote Computer Science Research Assistant jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Research Assistant jobs in Orlando, FL look for?

The top searched job categories for Remote Computer Science Research Assistant jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Remote Computer Science Research Assistant jobs?

Cities near Orlando, FL with the most Remote Computer Science Research Assistant job openings:

Infographic showing various Remote Computer Science Research Assistant job openings in Orlando, FL as of August 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $42,541 per year, or $20.5 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Orlando, FL โ€ข Remote

$80 - $110/hr

Part-time

Posted 19 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customerโ€™s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrรถdinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.