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Remote Computer Science Opt Jobs in Mullica Hill, 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 ...

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

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 ...

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 ...

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Remote Computer Science Opt information

See Mullica Hill, NJ salary details

$86.4K

$106K

$140.2K

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

As of Sep 5, 2026, the average yearly pay for remote computer science opt in Mullica Hill, NJ is $106,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $119,000.00 per year, depending on experience, location, and employer.

What is a remote computer science OPT?

Remote Computer Science OPT jobs are employment opportunities that allow international students in the U.S. on F-1 visas to work remotely in computer science-related fields during their Optional Practical Training (OPT) period. These positions can include software development, data analysis, IT support, and other technology roles that permit employees to work from locations outside of the traditional office. Such jobs help students gain practical experience in their field of study while offering flexibility in work location. It's important that the job is directly related to the student's major and meets all OPT requirements set by U.S. immigration policies.

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

Remote Computer Science professionals often use a combination of collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello to stay connected with their teams. Regular virtual meetings, code reviews, and documentation sharing are standard practices to maintain clear communication and alignment on project goals. Adapting to asynchronous communication and being proactive in providing updates are essential to overcome the challenges of different time zones and remote work dynamics. Building strong relationships with colleagues through regular check-ins and open communication greatly contributes to successful teamwork and project outcomes.

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

To thrive as a Remote Computer Science Opt, you need a solid background in computer science fundamentals, programming, and problem-solving, typically supported by a relevant degree or technical certification. Familiarity with version control systems (like Git), remote collaboration tools, and common programming languages such as Python or Java is essential. Strong self-motivation, effective communication, and time management skills help you stand out in a remote environment. These competencies ensure productivity, high-quality technical output, and smooth teamwork despite working from different locations.

What cities near Mullica Hill, NJ are hiring for Remote Computer Science Opt jobs?

Cities near Mullica Hill, NJ with the most Remote Computer Science Opt job openings:

Data Scientist

3B Staffing LLC

Cherry Hill, NJ • Remote

Full-time

Re-posted 16 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.