Ubicació: Barcelona (Espanya)
Tipus de Contracte: Indefinit
Jornada: Jornada completa
Sector: Farmacèutica i biofarmacèutica
Vacants: 1
Disciplina: I+D
Modalitat de treball: HíbridaBARCELONA ACTIVA gestiona ofertes d'empreses que necessiten cobrir vacants de personal. Les posicions que es publiquen no són per a Barcelona Activa. NOMÉS ES TINDRAN EN COMPTE LES CANDIDATURES QUE ARRIBIN PER AQUEST CANAL. El Servei de Cerca de Treballadors/es s'adreça a aquelles empreses del territori que necessiten incorporar nous professionals als seus equips i ofereix suport en la identificació de les vacants, el reclutament de personal i la preselecció de candidatures que s'ajustin als perfils sol·licitats.
This offer is part of the Biomedicine and Health Talent Marketplace organized by Barcelona Activa in collaboration with CATALONIA.HEALTH during the Connection Day. BAYER SL is looking for the profile Clinical Data Engineer
Only people who meet the profile requested by the company will be notified.
The pre-selected people will receive an email from Barcelona Activa with the confirmation of attendance and organizational details.
Once pre-selected, your availability for the Job Marketplace will be requested: Tuesday April 29th, from 15h to 18h, *location to be determined.
FUNCTIONS AND TASKS:
. BAYER visionaries. facilitates a varied and meaningful career in a community of bright and diverse minds to make a real difference.
The Clinical Data Engineer is responsible for the design, development and maintenance of data monitoring and operational insights data processing.
The role focuses on data modeling and integration of clinical data across studies, as well as operational data and implementation of data pipelines and ETL processes. Team workis being conducted with data engineers of other teams and processed for all individual studies.
Task
• Design, develop and maintain data processing for clinical / medical insights, review and analytics.
• Responsible for domains of the data model and integration of clinical data within a clinical study as well as operational data from various sources and implementation of datapipelines and ETL processes. Collaborate with other data engineers and support in defi ning and aligning concepts, standards and best practices for the work on the studyportfolio.
• Investigate, understand, transform, integrate and deliver clinical and operational data to generate insights at scale
• Understand the business context and the requirements in collaboration with stakeholders and developing solutions to meet the immediate and long-term needs of businesscustomers
• Design and manage the expansions and redesigns of data processing and data integration triggered by changes or optimizations to business processes or system landscapes
• Ensuring connection and communication with the involved parties and teams upstream of the data fl ow within a clinical study
• Work in teams with other programmers in solving technical problems in programming, best practices and standards implementation
• Design dashboards and workfl ows for data management insights, medical review and implement automated solutions
• Support innovation in cross-functional projects and initiatives for data-driven and effi cient business processes in the context of Clinical Development & Operations
YOUR APPLICATION
Bayer is committed to treating all applicants fairly and avoiding discrimination. Bayer is the company for you if you are interested
Within the Offices and Offices Agreement. According to interview.
Qualifi cation and Competencies
• Master's or Bachelor's degree in computer science, statistics, mathematics, natural sciences or a related fi eld with at least 3 years of experience as a data engineer or datawarehouse expert optimally with experience in the pharmaceutical, biotech or similar industry. Focus on data engineering design and ETL (Extract, Transform, Load) activitiesand visualization of thos
• Preferribly experience in clinical development processes, clinical data domain, clinical data standards and terminology
• Good to have experience working with clinical data sources EDC, ECOA, Central Lab, transformation into pre-SDTM and SDTM clinical data models as well as operational datafrom EDC and other sources
• Fundamental experience with ETL concepts and tools such as Azure ADF and/or experience in R, Python, Spark / PySpark, preferably for creating data models in the clinicalarea
Experience with visualization of data preferribly with PowerBI
• Good understanding of the software life cycle (ITIL), optimally the GxP validation approach
• Basic understanding of agile methodologies such as scrum
• Strong interpersonal skills, excellent written and oral communication
• Ability to work eff ectively both independently and in cross-functional teams
• Fluent in spoken and written English
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