Clinical Data Manager II

Planet Pharma Group; Tucson (AZ); On-site; USD 62,000 - 76,000; Full time

Job summary

Planet Pharma is seeking a highly technical Clinical Data Manager II to oversee end-to-end data collection, validation, and database design for multiple clinical trials. The role emphasizes Python scripting and automation to modernize data workflows, alongside collaboration with study teams.

You will ensure GMP/GCP compliance, support audits, and work with CRO partners to maintain high data quality while driving process improvements and timely trial milestones.

Qualifications

• Advanced hands-on proficiency in Python for script automation and data manipulation.
• Familiarity with SQL, R, or SAS.
• Experience with EDC platforms (Medidata Rave, Veeva Vault CDMS, RedCap, Oracle InForm).
• Knowledge of GCP, 21 CFR Part 11, and regulatory audits.

Responsibilities

• Oversee data collection, cleaning, and validation activities across assigned clinical trials.
• Participate in the design, development, and testing of EDC systems, UAT, and data validation specifications.
• Manage query generation, reconciliation, and resolution with sites and CRO partners.
• Collaborate cross-functionally with Clinical Operations, Biostatistics, QA, and Site Management to hit milestones.

Skills

Python scripting

SQL

R

SAS

Education

Bachelor’s Degree in Life Sciences/Computer Science/Health Informatics/Data Science

Master’s degree is a plus

Tools

Medidata Rave

Veeva Vault CDMS

RedCap

Oracle InForm

Job description

Position Summary

We are seeking a highly technical, proactive, and driven Clinical Data Manager II to join our data management team. In this role, you will oversee end-to-end data collection and validation processes, design robust clinical databases, and maintain compliance across all clinical trials.

Beyond core data management capabilities, the ideal candidate brings strong technical expertise in Python scripting and automated software tools to modernize clinical data workflows. You are a self-starter who takes the initiative to solve complex data challenges, streamlines query resolution, and collaborates seamlessly across cross-functional study teams.

Primary Responsibilities

Data Management & Database Development

• Oversee data collection, cleaning, and validation activities across assigned clinical trials to ensure high data quality, accuracy, and completeness.
• Participate in the design, development, and testing of Electronic Data Capture (EDC) systems, user acceptance testing (UAT), and data validation specifications.
• Manage query generation, reconciliation, and resolution workflows, working closely with clinical trial sites and CRO partners.

Technical Scripting & Workflow Automation

• Develop and execute custom Python scripts and software utilities to automate data extraction, validation, routine cleaning checks, and metrics reporting.
• Evaluate trial data infrastructure to identify technical bottlenecks, implementing software solutions that enhance processing speed and data accuracy.
• Partner with technical and biostatistics teams to streamline data transformations and standardizations (e.g., CDISC SDTM/CDASH).

Compliance, Audits & Cross-Functional Collaboration

• Ensure all clinical data management activities strictly adhere to Good Clinical Practice (GCP), ICH guidelines, FDA regulations, and standard operating procedures (SOPs).
• Prepare, maintain, and review clinical data management documentation for regulatory inspections and quality audits.
• Collaborate cross-functionally with Clinical Operations, Biostatistics, Quality Assurance, and Site Management teams to achieve trial milestones on schedule.

Qualifications & Key Requirements

Experience & Education

• Education: Bachelor’s Degree in Life Sciences, Computer Science, Health Informatics, Data Science, or a related field. Master’s degree is a plus.
• Professional Experience: Minimum of 2+ years of clinical data management experience within clinical trials (0-5 years total professional experience).

Technical Competencies

• Technical Scripting: Advanced hands-on proficiency in Python for script automation, data manipulation, and software integration. Familiarity with additional programming languages (e.g., SQL, R, or SAS) is strongly desired.
• EDC Systems: Practical experience working with industry-leading EDC platforms (e.g., Medidata Rave, Veeva Vault CDMS, RedCap, or Oracle InForm).
• Regulatory Knowledge: Solid understanding of GCP standards, 21 CFR Part 11, and regulatory audit readiness expectations.

Soft Skills & Core Attributes

• Initiative & Drive: Self-motivated mindset with a strong track record of taking ownership of projects and driving results independently.
• Problem-Solving: Strong analytical capabilities with meticulous attention to detail in high-volume, complex data environments.
• Collaboration & Communication: Excellent written and verbal communication skills; ability to articulate technical data solutions clearly to non-technical stakeholders.

Pay ranges between 45-55/hr based on experience