Clinical Data Manager II — Python Automation Specialist

Spectraforce Technologies, Inc.; Tucson (AZ); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Spectraforce Technologies, Inc. in Tucson, AZ, seeks a Clinical Data Manager II for a hybrid role. You will oversee end-to-end data collection, validation, and database design for multiple trials, using Python to modernize workflows.

You will collaborate with Clinical Operations, Biostatistics, QA, and CRO partners to ensure GCP/ICH compliance and SDTM/CDASH standards, and prepare inspection-ready documentation.

Qualifications

• Bachelor’s degree in Life Sciences, CS, Health Informatics, Data Science, or related field; master's preferred.
• 2+ years clinical data management experience in trials (0–5 years total).
• Advanced Python scripting for automation; familiarity with SQL, R or SAS desired.
• Experience with EDC platforms: Medidata Rave, Veeva Vault CDMS, RedCap, Oracle InForm.

Responsibilities

• Oversee data collection, cleaning, and validation across trials to ensure data quality.
• Participate in design, development, and testing of EDC systems, UAT, and validation specs.
• Manage query generation, reconciliation, and resolution with sites and CROs.
• Develop Python scripts and software utilities to automate data extraction and reporting.
• Evaluate data infrastructure and implement solutions to improve speed and accuracy.
• Collaborate with biostatistics to streamline data transformations and SDTM/CDASH.
• Ensure GCP/ICHFDA SOP compliance and maintain audit-ready documentation.
• Support cross-functional teams to hit trial milestones.

Skills

Python scripting

Data management

Analytical thinking

Collaboration

Education

Bachelor's degree in Life Sciences / CS / Health Informatics / Data Science

Master's degree preferred

Tools

SQL

R

SAS

Medidata Rave

Veeva Vault CDMS

RedCap

Oracle InForm

Job description

Spectraforce Technologies, Inc. in Tucson, AZ, seeks a Clinical Data Manager II for a hybrid role. You will oversee end-to-end data collection, validation, and database design for multiple trials, using Python to modernize workflows.

You will collaborate with Clinical Operations, Biostatistics, QA, and CRO partners to ensure GCP/ICH compliance and SDTM/CDASH standards, and prepare inspection-ready documentation.