Data Manager II - Clinical Data Cleaning & QA Lead

Altasciences; Overland Park (KS); On-site; USD 27,000 - 36,000; Full time

Benefits offered by this job

Health/Dental/Vision Insurance

401(k)/RRSP with Employer Match

Paid Vacation

Telework when applicable

Job summary

Altasciences is hiring a Data Manager I/II in Overland Park, Kansas. The role focuses on cleaning and validating clinical data, tracking eCRFs, and supporting data management processes in line with ICH-GCP guidelines.

The ideal candidate will have a Bachelor’s degree in relevant fields, strong communication, and a collaborative mindset to work with cross-disciplinary teams in a clinical research setting. Salary is competitive and benefits are provided.

Qualifications

• Excellent verbal and written communication skills.
• Professional attitude and strong interpersonal skills.
• Ability to work well with a multi-disciplinary team of professionals.
• Client-focused approach to work.
• Flexible attitude with respect to work assignments and new learning.
• Understanding of clinical research and the data management role in the study process.
• Strong technical aptitude and ability to adapt to multiple data management platforms.
• Good computer skills (Word, Excel, PowerPoint) and IT systems adaptability.

Responsibilities

• Perform data management cleaning including listing review, queries, and external vendor reconciliation per protocol and GCP guidelines.
• Ensure all fields are entered correctly and validation checks are complete.
• Track eCRFs and queries, provide metrics as requested.
• Identify edit checks issues and missing checks, adjust where needed.
• Support Lead Data Manager and mentor team members.

Education

Bachelor's Degree in programming, health-related sciences, or relevant field

Job description

Altasciences is hiring a Data Manager I/II in Overland Park, Kansas. The role focuses on cleaning and validating clinical data, tracking eCRFs, and supporting data management processes in line with ICH-GCP guidelines.

The ideal candidate will have a Bachelor’s degree in relevant fields, strong communication, and a collaborative mindset to work with cross-disciplinary teams in a clinical research setting. Salary is competitive and benefits are provided.