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Computer Science Remote Internships Jobs in Fairfield, CT

Gartner

Associate Data Scientist

Stamford, CT · On-site +1

$62K - $63K/yr

About this role: We are seeking a talented Associate Data Scientist to join the Marketing Technology team within GSSO. In this role, you will build AI-powered solutions that accelerate Sales and

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Deloitte

System Test and Validation Lead

Stamford, CT · On-site +1

Drive validation and compliance activities for complex GxP systems as a Senior Consultant, Regulatory, Risk, and Compliance. This role supports system validation strategy, audit readiness, CAPA

Deloitte

System Test and Validation Lead

Stamford, CT · On-site +1

Drive validation and compliance activities for complex GxP systems as a Senior Consultant, Regulatory, Risk, and Compliance. This role supports system validation strategy, audit readiness, CAPA

Deloitte

System Test and Validation Lead

Stamford, CT · On-site +1

Drive validation and compliance activities for complex GxP systems as a Senior Consultant, Regulatory, Risk, and Compliance. This role supports system validation strategy, audit readiness, CAPA

Eze Castle Integration

Technical Architect

Stamford, CT · On-site +1

$150K/yr

Position Overview: As a Technical Architect (TA), you will play a pivotal role in guiding clients through the technical journey, from initial engagement to successful implementation. This position is

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Computer Science Remote Internships information

What are computer science remote internships?

Computer science remote internships are work opportunities for students or recent graduates to gain practical experience in computer science while working from a location outside of a traditional office, typically from home. Interns collaborate with teams online, using digital tools to complete tasks such as coding, software development, data analysis, or technical support. These internships provide valuable exposure to real-world projects, industry practices, and professional networking, all without the need to relocate. Remote internships are especially popular in tech fields where much of the work can be done online. They often offer flexibility in schedules and are available with companies around the world.

What types of projects can I expect to work on during a remote computer science internship, and how will I collaborate with my team?

As a remote computer science intern, you'll typically work on real-world software development projects such as coding new application features, debugging existing code, or contributing to open-source initiatives. Communication and collaboration usually take place through tools like Slack, GitHub, and video conferencing platforms, allowing you to participate in daily stand-ups, code reviews, and team meetings. You may be paired with a mentor or work within a small agile team, gaining exposure to industry-standard development practices and collaborative workflows. While managing your own tasks independently is important, you'll also have regular check-ins and opportunities to ask questions, ensuring you remain connected and supported throughout the internship.

What are the key skills and qualifications needed to thrive as a computer science remote intern, and why are they important?

To thrive as a Computer Science Remote Intern, you typically need a solid understanding of programming fundamentals, algorithms, and data structures, often supported by ongoing or completed coursework in computer science or related fields. Familiarity with version control systems like Git, collaboration tools such as Slack or Zoom, and exposure to languages like Python, Java, or JavaScript are highly valuable. Strong self-motivation, time management, and effective written communication skills help interns excel in remote environments. These abilities enable interns to contribute effectively to distributed teams, manage projects independently, and adapt to rapidly changing technical tasks.

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

AspectComputer Science Remote InternshipsSoftware Developer Internships
Required CredentialsTypically a computer science student or related field, some coding knowledgeSimilar, often requiring programming skills and coursework in software development
Work EnvironmentRemote, flexible, project-basedRemote or hybrid, focused on coding and software projects
Employer & Industry UsageTech companies, startups, research institutionsTech firms, software companies, startups
Search & Comparison IntentLooking for general computer science internship opportunitiesSeeking specific software development internship roles

Computer Science Remote Internships and Software Developer Internships share similar credentials and work environments, often targeting tech companies and startups. However, CS internships tend to be broader, encompassing various computer science topics, while Software Developer Internships focus specifically on coding and software creation. Both are valuable for gaining industry experience remotely.

What cities near Fairfield, CT are hiring for Computer Science Remote Internships jobs?

Cities near Fairfield, CT with the most Computer Science Remote Internships job openings:

Computer Science Remote Internships jobs near you
Infographic showing various Computer Science Remote Internships job openings in Fairfield, CT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Scientist - Clinical Analytics (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted 4 days ago

Job description

Contact: Neisha Camacho/Terra Parsons –
No 3rd party candidates

This hands-on role sits at the intersection of Data Science, Biostatistics, Statistical Programming, and Clinical Data Management. The ideal candidate combines strong programming skills with clinical study experience and can build practical solutions that improve how teams access, analyze, visualize, and work with clinical data.

This individual will support ongoing studies while building technical infrastructure, automation, and reusable tools for a growing Biometrics organization. The successful candidate will be forward-thinking, collaborative, and comfortable introducing modern approaches in a cross-functional environment.

Primary Responsibilities

  • Develop data science solutions, analytical tools, dashboards, and visualizations to support clinical studies and data review.
  • Build reusable tools, workflows, and infrastructure for Statistical Programming, Biostatistics, Data Management, and other teams.
  • Build automated workflows using GitHub/GitHub Actions for quality checks, validation, code review, testing, and deployment.
  • Work with databases and data sources to support integration, analysis, and visualization.
  • Apply R and SAS to clinical data and analytical challenges and use Python when appropriate.
  • Develop and maintain interactive applications using R Shiny.
  • Partner across Biometrics and other clinical functions to understand study needs and develop effective technical solutions.
  • Identify opportunities to automate manual processes and improve efficiency.
  • Establish effective Git/GitHub, version control, and collaborative development practices.
  • Help team members adopt modern programming, automation, and application development practices.
  • Contribute technical expertise as Data Science and clinical analytics capabilities grow.

Qualifications

  • Bachelor's or Master's degree in Data Science, Statistics, Biostatistics, Computer Science, or a related quantitative field.
  • Significant Data Science, Statistical Programming, Clinical Analytics, or related experience within pharma, biotech, or clinical research.
  • Advanced programming experience in R and SAS.
  • Strong hands-on experience with Git/GitHub and GitHub Actions.
  • Experience developing analytical applications, dashboards, and visualizations, including R Shiny.
  • Experience with databases and integrating data into analytical workflows.
  • Strong understanding of version control, code review, testing, and automation.
  • Experience building reusable technical solutions and infrastructure.
  • Experience working with clinical study data and supporting study teams.
  • Strong cross-functional communication skills.
  • Ability to work independently in a small, growing organization while remaining highly collaborative.

Preferred Experience

  • Working knowledge of Python.
  • Experience building infrastructure, frameworks, or reusable tools for programmers, statisticians, or data scientists.
  • Experience automating development and quality-control processes.
  • Experience helping teams adopt Git/GitHub, R Shiny, automation, or other modern development practices.

Key Success Factors

  • Hands-on: Personally builds solutions rather than only directing others.
  • Forward-thinking: Brings ideas and seeks more efficient ways to solve problems.
  • Practical: Selects technology based on the problem.
  • Collaborative: Works effectively across clinical and technical functions.
  • Builder: Comfortable establishing tools, infrastructure, and new ways of working.
  • Self-directed: Identifies needs, proposes solutions, and drives work forward.