

Tucker Parker Smith Group (TPS Group)
Data Scientist
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
608
-
ποΈ - Date
January 9, 2026
π - Duration
3 to 6 months
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
California, United States
-
π§ - 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 β 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
Weβre 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
Data Scientist β 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
Weβre 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






