Tucker Parker Smith Group (TPS Group)

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist specializing in RBQM, offering up to $76/hour for a 3-month remote contract. Candidates must have advanced SAS programming skills and relevant clinical experience, with a strong preference for familiarity with RAVE EDC and CDISC standards.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
608
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πŸ—“οΈ - Date
January 9, 2026
πŸ•’ - Duration
3 to 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
California, United States
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🧠 - Skills detailed
#Computer Science #JavaScript #CDISC (Clinical Data Interchange Standards Consortium) #Visualization #Monitoring #Centralized Monitoring #Data Science #SAS #Datasets #Base #SQL (Structured Query Language) #Python #GCP (Google Cloud Platform) #Data Management #Triggers #Documentation #Macros #Programming #"ETL (Extract #Transform #Load)" #Statistics #R
Role description
Data Scientist – RBQM Work Location: Fully Remote Job Title: Data Scientist - RBQM Pay Rate: Up to $76/hour DOE Contract: 3-month assignment with potential to extend or convert We’re partnering with a leading biotechnology organization to find a Data Scientist with strong SAS programming experience to support Risk-Based Quality Management (RBQM) and centralized monitoring for clinical trials. This is a contract opportunity (initial 3 months) with potential for extension or conversion, supporting multiple clinical studies in a fast-paced, data-driven environment. Key responsibilities: β€’ Implement and maintain Key Risk Indicators (KRIs), Quality Tolerance Limits (QTLs), and risk triggers across multiple clinical studies β€’ Develop, run, and maintain robust SAS programs and macros (Base SAS, SAS SQL, Macros) β€’ Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical data sources β€’ Produce routine and ad-hoc centralized monitoring outputs, including tables, listings, data extracts, and dashboard feeds β€’ Perform QC, validation, and troubleshooting of SAS code to ensure accurate and efficient outputs β€’ Maintain technical documentation such as specifications, validation records, and change logs β€’ Collaborate closely with Data Management, Central Monitoring, Biostatistics, and Clinical Operations teams Required qualifications: β€’ Degree in Statistics, Biostatistics, Data Science, Computer Science, Life Sciences, or a related field β€’ Relevant clinical development experience aligned to education level: β€’ PhD with 3+ years β€’ MS with 5+ years β€’ BA/BS with 8+ years β€’ Advanced SAS programming experience in a clinical trials environment (hard requirement) β€’ Hands-on experience working with large, complex clinical trial datasets β€’ Proficiency with Microsoft Word, Excel, and PowerPoint β€’ Knowledge of GCP, ICH, and FDA guidance related to clinical trials and risk-based monitoring Preferred / strong plus: β€’ Experience with RAVE EDC β€’ Familiarity with CDISC standards (SDTM, CDASH) β€’ Exposure to R, Python, JavaScript, and/or clinical data visualization tools β€’ Prior experience supporting RBQM, RBM, or centralized monitoring activities Role details: β€’ Contract length: 3 months (potential extension or conversion) β€’ Location: Remote / Offsite β€’ Focus: Clinical trial analytics, centralized monitoring, RBQM