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  2. Bayer AG
  3. Clincial Data Engineer DMOI
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Bayer AG

Clincial Data Engineer DMOI

OnsiteMidBarcelona, SpainHealthTech
Apply directly at Bayer AG

Our Take

Build data pipelines for clinical insights at Bayer AG, a global life sciences company.

What you’ll do

  • Design, develop, maintain data processing for insights
  • Data modeling and integration of clinical/operational data
  • Implement data pipelines and ETL processes
  • Collaborate with other data engineers
  • Transform, integrate, deliver clinical/operational data
  • Design dashboards and workflows for data management
  • Support innovation in data-driven projects

What they’re looking for

  • 3+ years as data engineer or datawarehouse expert
  • Experience in pharmaceutical or biotech industry
  • Focus on data engineering design and ETL
  • Experience with clinical data sources (EDC, ECOA)
  • Experience with ETL tools (Azure ADF)
  • Experience with R, Python, Spark/PySpark
  • Experience with PowerBI visualization

What you get

  • Global life sciences company
  • Meaningful career opportunities
  • Diverse and brilliant minds
  • Make a real difference

Skills & Focus Areas

  • data modeling
  • ETL
  • data pipelines
  • Azure ADF
  • R
  • Python
  • Spark
  • PowerBI

As posted by Bayer AG

 

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

 

Clincial Data Engineer DMOI 

 

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. Teamwork is 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.


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.

    YOUR APPLICATION      

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer. 
 
Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
 

 

 

Location:

Spain : Cataluña : Barcelona  

 

Division:

Pharmaceuticals 

 

Reference Code:

847489 

Apply directly at Bayer AG
Location
Barcelona, Spain
Work mode
Onsite
Track
IC (Individual Contributor)
Seniority
Mid
Type
FULL_TIME
PostedJun 24
Languages
English
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