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Remote Python Data Analysis Jobs in Vineland, NJ

3B Staffing LLC

Data Scientist

Cherry Hill, NJ · Remote

Remote Duration 4-6 months Advanced SAS programming (Base, Macro, SQL) in clinical trials with RBQM ... on clinical data analysis (KRIs/QTLs), EDC data integration (RAVE preferred), strong QC ...

FRM Mail Contracting

Remote Data Entry Clerk

Deptford, NJ · Remote

$16.75 - $22.25/hr

Generate reports and assist with routine data analysis as requested. * Communicate with internal ... Ability to work independently in a remote environment and meet deadlines. * Reliable high-speed ...

ITW Avery Weigh-Tronix

Dillon Product Manager

DE · Remote

$80K - $121K/yr

Perform product testing, gathering of relevant experimental data, and data analysis in support of ... Experience with ITW business and products #LI-Remote Compensation Information: $80,800 - $121,200 ...

Ocean Spray

Environmental Engineer

Chatsworth, NJ · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Strong analytical, problem-solving, and data interpretation skills * Project management skills with ...

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How much do remote python data analysis jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for remote python data analysis in Vineland, NJ is $58.18, according to ZipRecruiter salary data. Most workers in this role earn between $47.93 and $66.11 per hour, depending on experience, location, and employer.
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Remote Python Data Analysis jobs near you
Infographic showing various Remote Python Data Analysis job openings in Vineland, NJ as of July 2026, with employment types broken down into 65% Full Time, 16% Part Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,014 per year, or $58.2 per hour.
Data Scientist

Data Scientist

3B Staffing LLC

Cherry Hill, NJ • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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.

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