Lead Clinical Data Manager — CRO in Poland

Kapadi Pty; Polska; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Developing CRO Poland

Solution recommendations

Process improvements

Top Employer 2026

Job summary

Kapadi Pty in Poland is seeking a Lead Data Manager to oversee all data management deliverables across allocated projects within strict timelines. You will guide the DM team, allocate resources, and ensure adherence to protocols, SOPs, and GCP standards.

The role requires a university degree in bioengineering or life science (or related allied health certification), fluency in English, and at least 2 years of clinical data management experience. Knowledge of Excel is essential; R/SAS are a plus.

Qualifications

• High proficiency in clinical data management practices.
• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.
• Programming knowledge in R or SAS is a nice-to-have.

Responsibilities

• Lead Data Manager for allocated projects, overseeing all DM deliverables per timeline.
• Instruct DM study team and review outputs, adjusting as needed.
• Allocate resources within the project to meet milestones.
• Ensure DM activities comply with protocols, SOPs and GCP standards.
• Collaborate with Project Manager to build timelines and coordinate with leads across disciplines.
• Maintain awareness of other Biometrics deliverables to support risk mitigation.
• Ensure quality per the DMP and scope of work; perform QC on study data.
• Reconciling the clinical database with safety, laboratory, or third-party data; utilize local lab systems.

Skills

Analytical thinking

Independence in planning

Communication skills

Teamwork

Education

University degree in bioengineering or life science or allied health certification

Tools

MS Excel

R

SAS

Job description

Kapadi Pty in Poland is seeking a Lead Data Manager to oversee all data management deliverables across allocated projects within strict timelines. You will guide the DM team, allocate resources, and ensure adherence to protocols, SOPs, and GCP standards.

The role requires a university degree in bioengineering or life science (or related allied health certification), fluency in English, and at least 2 years of clinical data management experience. Knowledge of Excel is essential; R/SAS are a plus.