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6/17/25

Data Manager

Remote

Job Type

Full Time

Workspace

Remote

About the Role

We are seeking an experienced and detail-driven Data Manager to join our clinical research operations team. In this role, you will lead and coordinate data management activities across global clinical trials to ensure high-quality, accurate, and regulatory-compliant data. The ideal candidate will possess strong technical expertise and a collaborative spirit to work effectively with cross-functional teams in a remote environment.

Requirements

  • Proven track record managing data for Phase I–IV clinical trials.

  • Hands-on experience with EDC system configuration and UAT.

  • Understanding of data privacy and protection regulations (e.g., GDPR, HIPAA).

  • Ability to manage timelines across multiple studies simultaneously.

  • Commitment to maintaining data quality and supporting data-driven decisions.

Qualification

  • Bachelor’s degree in Life Sciences, Health Information Management, Computer Science, or a related field.

  • At least 5 years of clinical data management experience in a CRO, biotech, or pharmaceutical setting.

  • Proficient with leading EDC platforms (e.g., Medidata Rave, Oracle InForm, Veeva Vault).

  • Familiarity with CDISC standards (CDASH, SDTM) and regulatory compliance (ICH-GCP, FDA, EMA).

  • Strong organizational and analytical skills with attention to detail.

  • Excellent communication skills, both written and verbal.

  • Comfortable working independently in a remote and fast-paced environment.

Responsibilities

  • Lead and manage all data management activities from study start-up through database lock.

  • Develop study-specific Data Management Plans (DMPs), CRFs, edit check specifications, and data review guidelines.

  • Oversee EDC system setup, testing, and maintenance; ensure timely resolution of technical issues.

  • Generate and resolve data queries in collaboration with clinical monitors and site personnel.

  • Ensure data consistency and compliance with regulatory standards, including CDASH and SDTM.

  • Perform ongoing data cleaning and validation to support timely and accurate statistical analysis.

  • Participate in audits and contribute to the development of SOPs and process improvements.

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