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Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist focused on RBQM for clinical trials, requiring 3-8 years of experience, advanced SAS programming skills, and knowledge of clinical data standards. Contract length and pay rate are unspecified; work location is also unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
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 #Microsoft Excel #GCP (Google Cloud Platform) #Data Management #Triggers #Documentation #Scala #Macros #Programming #"ETL (Extract #Transform #Load)" #Statistics #R
Role description
Scientific Data Scientist (RBQM / Clinical Trials)
We are seeking a Scientific Data Scientist to support central monitoring and Risk-Based Quality Management (RBQM) activities for clinical trials. This role focuses on implementing and running predefined risk metrics using clinical trial data, with a strong emphasis on SAS programming to deliver scalable, high-quality analytics across multiple studies.
Key Responsibilities
• Implement and maintain predefined KRIs, QTLs, and risk triggers using robust SAS programs and macros.
• Extract, transform, and integrate data from EDC systems and other clinical data sources into analysis-ready datasets.
• Produce routine and ad-hoc RBQM outputs (tables, listings, data extracts, and dashboard feeds) to support centralized monitoring.
• Perform QC, validation, and troubleshooting of SAS programs to ensure accuracy and efficiency.
• Maintain clear technical documentation, including specifications, validation records, and change logs.
• Collaborate with Central Monitoring, Data Management, Biostatistics, and Study Operations teams to ensure correct implementation of RBQM metrics.
Qualifications
• Degree in Statistics, Biostatistics, Data Science, Computer Science, Life Sciences, or a related field.
• PhD: 3+ years relevant experience
• MS: 5+ years relevant experience
• BS/BA: 8+ years relevant experience
Technical Requirements
• Advanced SAS programming skills in a clinical trials environment (Base SAS, Macros, SAS SQL).
• Hands-on experience working with clinical trial data.
• Proficiency with Microsoft Excel, Word, and PowerPoint.
Preferred Qualifications
• Experience with RAVE EDC.
• Knowledge of CDISC/CDASH/SDTM standards.
• Exposure to R, Python, JavaScript, or clinical data visualization tools.
Domain & Soft Skills
• Knowledge of GCP, ICH, and FDA guidance related to clinical trials and RBQM.
• Strong analytical and problem-solving skills.
• Effective communicator with experience working cross-functionally in global teams.
• Ability to manage multiple priorities in a fast-paced, regulated environment.
Scientific Data Scientist (RBQM / Clinical Trials)
We are seeking a Scientific Data Scientist to support central monitoring and Risk-Based Quality Management (RBQM) activities for clinical trials. This role focuses on implementing and running predefined risk metrics using clinical trial data, with a strong emphasis on SAS programming to deliver scalable, high-quality analytics across multiple studies.
Key Responsibilities
• Implement and maintain predefined KRIs, QTLs, and risk triggers using robust SAS programs and macros.
• Extract, transform, and integrate data from EDC systems and other clinical data sources into analysis-ready datasets.
• Produce routine and ad-hoc RBQM outputs (tables, listings, data extracts, and dashboard feeds) to support centralized monitoring.
• Perform QC, validation, and troubleshooting of SAS programs to ensure accuracy and efficiency.
• Maintain clear technical documentation, including specifications, validation records, and change logs.
• Collaborate with Central Monitoring, Data Management, Biostatistics, and Study Operations teams to ensure correct implementation of RBQM metrics.
Qualifications
• Degree in Statistics, Biostatistics, Data Science, Computer Science, Life Sciences, or a related field.
• PhD: 3+ years relevant experience
• MS: 5+ years relevant experience
• BS/BA: 8+ years relevant experience
Technical Requirements
• Advanced SAS programming skills in a clinical trials environment (Base SAS, Macros, SAS SQL).
• Hands-on experience working with clinical trial data.
• Proficiency with Microsoft Excel, Word, and PowerPoint.
Preferred Qualifications
• Experience with RAVE EDC.
• Knowledge of CDISC/CDASH/SDTM standards.
• Exposure to R, Python, JavaScript, or clinical data visualization tools.
Domain & Soft Skills
• Knowledge of GCP, ICH, and FDA guidance related to clinical trials and RBQM.
• Strong analytical and problem-solving skills.
• Effective communicator with experience working cross-functionally in global teams.
• Ability to manage multiple priorities in a fast-paced, regulated environment.
