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Remote Computer Science Jobs in Mount Laurel, NJ

Remote Duration 4-6 months Advanced SAS programming (Base, Macro, SQL) in clinical trials with RBQM ... PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a ...

Remote Duration 4-6 months Advanced SAS programming (Base, Macro, SQL) in clinical trials with RBQM ... PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a ...

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Staff Software Engineer, location is REMOTE. The start date is ASAP for this contract to hire ... Bachelor's degree in Computer Science, Engineering, or related field * 10 years of professional ...

Phoenix, AZ (Remote) Duration: Up to 12 months, with potential for extensionOur direct client is ... Bachelor's degree in Computer Science or equivalent. * Experience: * 8+ years of programming ...

Lead Data Engineer

Trenton, NJ · Remote

$157K - $223K/yr

This is a remote role that may only be hired in the following location(s): North Carolina, New Jersey. Responsibilities & Qualifications Bachelor's degree in Computer Science, Information Science, or ...

Lead Data Engineer

Trenton, NJ · Remote

$157K - $223K/yr

This is a remote role that may only be hired in the following location(s): North Carolina, New Jersey. Responsibilities & Qualifications Bachelor's degree in Computer Science, Information Science, or ...

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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.

What are the most commonly searched types of Computer Science jobs in Mount Laurel, NJ?

The most popular types of Computer Science jobs in Mount Laurel, NJ are:

What are popular job titles related to Remote Computer Science jobs in Mount Laurel, NJ?

For Remote Computer Science jobs in Mount Laurel, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science jobs in Mount Laurel, NJ look for?

The top searched job categories for Remote Computer Science jobs in Mount Laurel, NJ are:

What cities near Mount Laurel, NJ are hiring for Remote Computer Science jobs?

Cities near Mount Laurel, NJ with the most Remote Computer Science job openings:

Infographic showing various Remote Computer Science job openings in Mount Laurel, NJ as of August 2026, with employment types broken down into 35% Full Time, and 65% Part Time. Highlights an 100% Remote job distribution.

Data Scientist

3B Staffing LLC

Cherry Hill, NJ • Remote

Full-time

Re-posted 15 days ago


Job description

Data Scientist

Location: Remote

Duration 4-6 months

Advanced SAS programming (Base, Macro, SQL) in clinical trials with RBQM/RBM experience, hands-on clinical data analysis (KRIs/QTLs), EDC data integration (RAVE preferred), strong QC/documentation, and cross-functional collaboration skills.

The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies.

KEY RESPONSIBILITIES:
The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the studies' complexity and studies' development stage:

  • Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies.
  • Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets.
  • Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review.
  • Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient.
  • Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes.
  • Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics.

Qualifications
Education & Experience

  • PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field.
  • Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example: o PhD: 3+ years o MS: 5+ years o BA/BS: 8+ years

Technical - Required

  • Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets).
  • Hands-on experience working with clinical trial data.
  • Proficiency with Microsoft Word, Excel, and PowerPoint. Technical - Preferred / Strong Plus
  • Experience with RAVE EDC.
  • Awareness or working knowledge of CDISC, CDASH, SDTM standards.
  • Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms.