ZipRecruiter

Log In

2

Remote Computer Science Jobs in Bridgeport, CT (NOW HIRING)

Deloitte

System Test and Validation Lead

Stamford, CT · On-site +1

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

Deloitte

System Test and Validation Lead

Stamford, CT · On-site +1

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

Deloitte

System Test and Validation Lead

Stamford, CT · On-site +1

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

Eze Castle Integration

Technical Architect

Stamford, CT · On-site +1

$150K/yr

BA/BS degree in computer science, business or related field * 3+ years' experience in a Technical ... Knowledge of Device Endpoint Management and Remote access, Azure, Citrix or other remote virtual ...

Varsity Tutors

Java Tutor

Stamford, CT · Remote

$18 - $40/hr

Ability to explain encapsulation, abstract classes, design patterns, and JVM architecture while preparing students for AP Computer Science A, college-level software development, and industry ...

Varsity Tutors

Java Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Ability to explain encapsulation, abstract classes, design patterns, and JVM architecture while preparing students for AP Computer Science A, college-level software development, and industry ...

next page

Showing results 1-20

All JobsComputer Science JobsRemote Computer Science JobsRemote Computer Science Jobs in Bridgeport, CT

Remote Computer Science information

What are remote computer science jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

What are remote computer science jobs?

Remote computer science jobs are positions that involve the application of computer science principles—such as programming, software development, data analysis, and cybersecurity—that can be performed from any location with internet access. These roles often include software engineer, web developer, data scientist, system administrator, and more. Remote computer science professionals collaborate with teams virtually, using digital communication and project management tools. This flexibility allows employees to work from home or anywhere in the world, offering a better work-life balance and access to global job opportunities.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.

What are the key skills and qualifications needed to thrive as a remote computer science professional?

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

Can I work remotely with a computer science degree?

Yes, many computer science roles can be performed remotely, especially in software development, programming, and IT support. Remote work often requires strong technical skills, familiarity with collaboration tools, and self-discipline, and some positions may require specific certifications or experience.
More about Remote Computer Science jobs

What are the most commonly searched types of Computer Science jobs in Bridgeport, CT?

The most popular types of Computer Science jobs in Bridgeport, CT are:

What job categories do people searching Remote Computer Science jobs in Bridgeport, CT look for?

The top searched job categories for Remote Computer Science jobs in Bridgeport, CT are:

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

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

Remote Computer Science jobs near you
Infographic showing various Remote Computer Science job openings in Bridgeport, CT as of August 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Contract. Highlights an 5% In-person, and 95% Remote job distribution.

Data Scientist - Clinical Analytics (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted 2 days ago

New

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.