Hr Intern – Hospitality Talent & Training (Madrid)

Supermercados Hiber Sa

Coslada

A distancia

EUR 42.000 - 70.000

Jornada completa

Hace 5 días
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Descripción de la vacante

Supermercados Hiber Sa is seeking a Clinical Monitoring Analyst to support centralized monitoring initiatives across multiple study locations. The role emphasizes SAS/Macro expertise, Cluepoints experience, and close collaboration with cross‑functional teams to ensure data quality and regulatory compliance.

Remote work is available internationally, with responsibilities including setup of QTLs and KRIs, data source understanding, and ongoing platform maintenance.

Formación

  • 3+ years in pharmaceutical R&D or centralized monitoring, data management or biostatistics.
  • 2–3 years SAS experience including macro language.
  • Experience with Cluepoints.
  • Ability to work autonomously and engage stakeholders.
  • Understanding of basic statistical concepts and interpretation.

Responsabilidades

  • Support Centralized Monitoring Lead in CM strategy development.
  • Set up/Program QTL, KRIs and Data Quality Assessments per CMP.
  • Refresh CM Platform at defined frequency to enable signal detection.
  • Maintain CM platform specifications and file in eTMF.
  • Review protocol and data sources; understand data transfer specs.

Conocimientos

Communication skills
Interpersonal skills
Organizational skills
Problem solving
Autonomy

Educación

Bachelor's degree in life sciences or related field

Herramientas

SAS
Cluepoints
EDC systems

Descripción del empleo

Clinical Monitoring Analyst (Cluepoints) - Remote

Locations:

  • London, United Kingdom
  • Budapest, Hungary
  • Reading, Berkshire, United Kingdom
  • Bloemfontein, South Africa
  • Dublin, Ireland
  • Centurion, South Africa
  • Barcelona, Spain
  • Sofia, Bulgaria
  • Madrid, Spain

Full time

Key responsibilities include:

  • Supports the Centralized Monitoring Lead (CML) in the development of the fit‑for‑purpose CM strategy by contributing to the identification of the relevant CM elements to be implemented for the study (Quality Tolerance Limits (QTL), Key Risk Indicators, data visualizations and Data Quality Assessments)
  • Setup/Program QTL, KRI and Data Quality Assessments according to the study CMP
  • Refresh the Centralized Monitoring Platform at predefined frequency to enable signal identification
  • Generate and maintain the Centralized Monitoring Platform specifications document and file it in eTMF
  • Review and understanding of protocol is key
  • Understand the data sources for the study, the data transfer specifications and the data structure
  • Execute and document peer‑review of CM platform setup done by other CMA colleagues

Experience:

  • At least 3 years relevant experience in the area of pharmaceutical research and development or related field preferably in centralized Monitoring, data management, and/or biostatistics
  • 2‑3 years SAS experience including macro language
  • Knowledge/experience working on Cluepoints
  • Ability to work in an autonomous way and engage with relevant stakeholders to execute activities related to study level centralized monitoring process
  • Ability to understand basic statistical analysis concepts and to interpret their outcome
  • Ability to maintain confidentiality of data and information during interactions with staff at all levels
  • Ability to work with limited close supervision
  • Demonstrated communication, interpersonal, organizational and problem‑solving skills
  • High levels of initiative, drive and commitment
  • Prior experience in a Data Management related field is required
  • Experience with relational databases, preferably Clinical Data Management and EDC Systems
  • Experience communicating with all levels of personnel and participating in collaborative work team (locally and globally)
  • Advanced knowledge of federal regulations, Good Clinical Practice, and Good Clinical Data Management Practices
  • Excellent command, both verbal and written, of English

This role is not eligible for UK visa sponsorship

EEO Minorities/Females/Protected Veterans/Disabled

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