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BOBoehringer Ingelheim

(Senior) Clinical Data Engineer(m/w/x)

Biberach
TeilzeitVor OrtSenior
Nejo KI-Zusammenfassung

Supporting early clinical development data for First-in-Human studies. Bachelor's or Master's degree in a relevant field required. Hybrid work, part-time eligibility.

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Anforderungen

  • Bachelor's or Master's degree in Data Science, Computer Science, Life Sciences, Software Engineering, Medical Informatics, or related field
  • Relevant experience in data management, engineering, processing, databases, or analytical environments
  • Technical background in medical informatics, computer science, programming, or data engineering
  • Strong interest in clinical data and development
  • Foundational understanding of clinical data acquisition and external data integration
  • Foundational understanding of data standards (e.g. CDISC/SDTM)
  • Knowledge of data quality principles and familiarity with data quality frameworks
  • Strong analytical and problem-solving mindset
  • Pragmatic and solution-oriented approach
  • Team player
  • Excellent communication skills
  • Excellent stakeholder management skills
  • Ability to collaborate effectively in interdisciplinary, global, and remote teams
  • Fluency in written and spoken English
  • German language skills are an advantage
  • Several years of experience in Clinical Data Engineering, Clinical Data Management, technical data management, or comparable role
  • Proven experience driving automation, standardization, and process improvement
  • Experience leading projects, workstreams, or matrix teams is an advantage
  • Strong technical background in Medical Informatics, Computer Science, Software Engineering, Programming, or Data Engineering
  • Advanced expertise in clinical data and clinical development
  • Significant experience with EDC systems
  • Significant experience with external data acquisition and integration
  • Significant experience with clinical data standards (e.g. CDISC/SDTM)
  • Significant experience with data quality frameworks
  • Significant experience with end-to-end clinical trial data flows
  • Strong stakeholder communication skills
  • Ability to collaborate effectively across functions, organizations, and global teams
  • Ability to collaborate in complex and time-critical situations
  • Demonstrated decision-making skills
  • Demonstrated prioritization skills
  • Ability to balance pragmatism, efficiency, quality, and regulatory compliance
  • Proven ability to identify technical risks
  • Proven ability to develop sustainable solutions
  • Proven ability to drive implementation in collaboration with stakeholders

Aufgaben

  • Support clinical studies and data-driven initiatives
  • Enable high-quality clinical trial data throughout the study lifecycle
  • Perform and coordinate data management activities for early-phase clinical trials
  • Support data collection, review, reconciliation, and delivery
  • Create, maintain, and oversee key study documentation
  • Review clinical trial protocols to identify data requirements
  • Translate scientific and operational needs into technical specifications
  • Design eCRFs, develop edit checks, and configure databases
  • Conduct user acceptance testing (UAT)
  • Integrate, review, and reconcile internal and external clinical data sources
  • Ensure end-to-end data workflows across systems and vendors
  • Apply established data standards and processes, including CDISC and SDTM
  • Ensure compliance with ICH-GCP guidelines and regulatory requirements
  • Enable high-quality end-to-end clinical data flows
  • Collaborate closely with cross-functional stakeholders
  • Expand clinical, technical, and process expertise
  • Contribute to a culture of learning, innovation, and operational excellence
  • Take ownership of complex clinical data management activities and data setups
  • Design, implement, and improve scalable end-to-end data flows, integrations, and pipelines
  • Ensure data are fit for analysis and reporting
  • Lead end-to-end data engineering activities
  • Proactively drive data quality, consistency, and traceability
  • Drive automation, standardization, and reuse of technical solutions and processes
  • Act as a subject matter expert for cross-functional teams and external partners
  • Provide guidance and share best practices
  • Identify opportunities for innovation and process improvement
  • Contribute to the evolution of Clinical Data Engineering capabilities
  • Coach and support less experienced colleagues

Berufserfahrung

ca. 4 - 6 Jahre

Ausbildung

Master-Abschluss

Sprachen

Englischfließend
DeutschGrundkenntnisse

Tools & Technologien

Data ScienceComputer ScienceLife SciencesSoftware EngineeringMedical InformaticsData managementData engineeringData processingDatabasesProgrammingClinical dataClinical developmentClinical data acquisitionExternal data integrationCDISC/SDTMData quality frameworksEDC systemsClinical trial data flows

Benefits

Flexibles Arbeiten
  • Hybrid work
Familienfreundlichkeit
  • Part-time eligibility

Von Nejo automatisch aufbereitet

Nejo hat diesen Job automatisch von der Website des Unternehmens Boehringer Ingelheim erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

Zur Originalanzeige bei Boehringer Ingelheim

Über das Unternehmen

BO
PharmaceuticalsBiberach

The company is focused on delivering lasting value to patients through innovative therapies and early clinical development.

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