Clinical Data Specialist

Establishment Labs

. Manage clinical data end-to-end for clinical studies .

Posted 11/9/2026full-timeCoyol • Costa RicaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing clinical data throughout the study lifecycle, ensuring inspection-ready data for regulatory compliance, and utilizing EDC/eClinical systems for effective data management. Proficient in data review, cleaning, and reconciliation, with strong analytical skills and the ability to work independently in regulated environments.

Highest-signal resume keywords

Clinical Data ManagementEDC/eClinical SystemsData Review And CleaningRegulatory ComplianceAdvanced Analytical Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ReconciliationQuery ManagementUser Acceptance Testing (UAT)PythonRSQLExcelData Automation ToolsChange ManagementValidation

Soft Skills

CollaborationInterpersonal SkillsDetail OrientationCritical ThinkingOrganizational Skills

Certifications & Qualifications

Bachelor's DegreeLicentiate Degree

Industry Keywords

Clinical StudiesRegulated EnvironmentCROHealth SciencesLife Sciences

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Manage clinical data end-to-end for clinical studies
Conduct data review and cleaning
Manage queries and perform data reconciliation
Ensure inspection-ready data for regulatory audits and inspections
Work with EDC/eClinical systems across study builds, change management, UAT, validation, and system releases
Support the full study lifecycle from study startup through database lock and closeout
Work independently in a regulated environment
Identify risks, priorities, and effective solutions
Collaborate with Clinical Affairs, Regulatory Affairs, Quality, IT, CROs, and external vendors
Participate in process, standards, automation, and team capability improvements

Requirements

What you’ll need

Bachelor's or Licentiate degree in Life Sciences, Health Sciences, Biomedical Engineering, Statistics, Data Science, Computer Science or a related field
More than 4 years of hands-on experience supporting clinical studies at a sponsor, CRO, or research organization
Advanced English C1 (speaking and reading)
Advanced analytical skills, including Excel
Experience with Python, R, SQL, or data automation tools is a plus
Extensive experience in data review and cleaning, query management, data reconciliation, and ensuring inspection-ready data for regulatory audits and inspections
Hands-on experience with EDC/eClinical systems, including study builds, change management, User Acceptance Testing (UAT), validation, and system releases
Ability to work independently in regulated environments, proactively identifying risks, priorities, and solutions
Excellent collaboration and interpersonal skills
Curiosity
Detail orientation
Critical thinking
Organizational and prioritization skills
Adaptability and change management
Ability to identify and mitigate risks
Scientific mindset
Motivation to improve processes, standards, automation, and team capabilities

Benefits

Comp & perks

Hybrid work arrangement
Monday through Friday schedule, 8:00 a.m. to 5:00 p.m.
Equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status