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Remote Computer Science Postdoc Jobs in Miami, FL

Masters degree in data science, computer science, marine biology, or related field, OR Bachelors ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Scrum Master (Remote Opportunity)

Miami, FL · Remote

$49.25 - $65.75/hr

Bachelor's degree in Information Technology, Computer Science, Engineering, Business, or a related ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

Scrum Master (Remote Opportunity)

Miami, FL · On-site +1

$49.25 - $65.75/hr

Requirements: • Bachelor's degree in Information Technology, Computer Science, Engineering ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...

MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering ... Remote Base Salary Range : $155,000 - $175,000 What We Offer * Medical/Dental/Vision Insurance ...

Test Automation Engineer (Remote Opportunity)

Miami, FL · On-site +1

$44 - $58/hr

Bachelor's degree in Computer Science, Engineering, or a related technical discipline. * Minimum of 10 years of experience in software testing and quality assurance. * Strong hands-on experience with ...

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Remote Computer Science Postdoc information

See Miami, FL salary details

$23.9K

$56.5K

$79.9K

How much do remote computer science postdoc jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote computer science postdoc in Miami, FL is $56,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $63,600.00 per year, depending on experience, location, and employer.

What is a Remote Computer Science Postdoc?

A Remote Computer Science Postdoc is a postdoctoral research position in the field of computer science that allows the researcher to work from a location outside of a traditional academic or research institution, often from home or another remote location. These positions typically involve conducting independent or collaborative research under the guidance of a principal investigator, publishing papers, and contributing to ongoing projects. Remote postdocs leverage digital communication tools to collaborate with their teams and may also participate in virtual conferences and seminars. This flexibility can make it easier to balance work with personal commitments and collaborate internationally. However, it also requires strong self-motivation and communication skills to succeed.

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

To thrive as a Remote Computer Science Postdoc, you need a PhD in computer science or a related field, strong research and analytical skills, and a track record of scholarly publications. Familiarity with advanced programming languages, statistical analysis software, and collaborative research platforms is typically expected. Excellent written communication, self-motivation, and time management are vital soft skills for excelling in a remote academic environment. These competencies ensure that you can independently drive impactful research while effectively collaborating and sharing findings with the broader scientific community.

What are some common challenges faced by remote Computer Science postdocs when collaborating with research teams?

Remote Computer Science postdocs often navigate challenges such as time zone differences, limited face-to-face mentorship, and building rapport with team members. Effective communication tools and regular video meetings are crucial for maintaining strong collaboration and ensuring research progress. Proactively seeking feedback and participating in virtual lab meetings can help remote postdocs stay engaged and integrated with their research groups.
What are the most commonly searched types of Computer Science Postdoc jobs in Miami, FL? The most popular types of Computer Science Postdoc jobs in Miami, FL are:
What are popular job titles related to Remote Computer Science Postdoc jobs in Miami, FL? For Remote Computer Science Postdoc jobs in Miami, FL, the most frequently searched job titles are:
What cities near Miami, FL are hiring for Remote Computer Science Postdoc jobs? Cities near Miami, FL with the most Remote Computer Science Postdoc job openings:
Data Scientist

Full-time

Medical, Dental, PTO

Posted 5 days ago


Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulation ns as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch.


Primary Function:

This role supports the integration, processing, and analysis of diverse data types to improve scientific understanding and operational efficiency across SEFSC survey programs.


Duties/Responsibilities:

  • Manage, organize, and support analysis of multi-source datasets collected across SEFSC surveys, including acoustic, video, environmental DNA, multibeam, and aerial imagery data
  • Coordinate with project partners to ensure data collection and sensor configurations support downstream analytical and AI/ML applications
  • Maintain familiarity with diverse data types and assist with field data collection activities as needed
  • Organize and document datasets and metadata in accordance with established data management protocols
  • Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows
  • Support data curation and storage, including cloud-based data repositories
  • Assist with preparation and archiving of datasets in accordance with government data standards
  • Develop, test, and evaluate analytical workflows and models to improve data processing efficiency
  • Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems
  • Generate data products suitable for use by downstream scientific stakeholders (e.g., stock assessment scientists)
  • Maintain awareness of SEFSC analytical needs and existing workflows to align data science efforts with mission priorities
  • Participate in interdisciplinary working groups and collaborative research efforts
  • Support proposal development, manuscript review, and scientific reporting activities
  • Participate in outreach and stakeholder engagement activities as required
  • Prepare for and participate in scientific meetings, workshops, and symposia


Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.

Minimum Qualifications:

  • Master's degree in data science, computer science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience
  • Experience applying machine learning, statistical analysis, or advanced analytical techniques
  • Proficiency in programming languages such as Python or R
  • Experience working with large datasets and data management workflows
  • Familiarity with cloud computing platforms (e.g., Google Cloud Platform or similar)
  • Experience with relational databases
  • Strong written and oral communication skills
  • Ability to work collaboratively across multidisciplinary teams
  • Ability to translate complex datasets into actionable scientific products
  • Strong analytical and problem-solving skills
  • Ability to manage multiple datasets and analytical workflows simultaneously
  • Effective communication of technical concepts to non-technical stakeholders


Preferred Qualifications:

  • PhD in data science, computer science, marine science, or related field
  • Experience developing and deploying machine learning models
  • Experience with cloud-based ML workflows and scalable data processing
  • Experience working with fisheries, environmental, or ecological datasets
  • Experience with AI/ML model architecture and performance evaluation


Travel:

  • Travel required (limited) for field data collection, collaboration meetings, and scientific conferences.


Location:

  • Remote
  • Must be willing to relocate if needed.

Contact:

If you would like to apply for this exciting new opening, please visit our Careers Page to submit the required information:

  • Resume
  • Cover letter detailing relevant experience.
  • 3 professional references (name, email address and phone number)

All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our Talent Team or call 774-770-5833.


An Equal Opportunity Employer

It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.

Must be able to work in the U.S. VEVRAA Federal Contractor Request Priority Protected Veteran Referrals Equal Opportunity Employer