Data Engineer (Real World Data & OMOP harmonisation experience)

Basel - Switzerland

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Your Areas of Responsibilities:

Work through our customers entire data ecosystem to understand their needs and where to find and collect that information
Build data wrangling program with Databricks and statistical models based on clinical and Real World Evidence data.
Transform data in defined standards using controlled terminologies
Support the evaluation of the designed models and present results through data visualization

Your Qualification and Experience:

University Degree in Statistics Biology Computer Science Bioinformatics etc.
3 - 5 years of relevant work experience in Data Science within Life Sciences R&D domain
Good understanding and work exposure with Databricks
Experience in data wrangling modelling integrating and comparing a wide range of clinical data types
Hands-on experience with real-world data (e.g. UKBB CPRD claims registries)
Strong knowledge of the OMOP data model and mapping RWD to OMOP
Proven ability to transform data into fixed models and apply internal/external controlled terminologies
Databricks expertise including code optimization and workspace configuration for efficient pipelines
Azure DevOps (ADO) experience including preparing pipeline releases to Databricks
Demonstrated experience working in regulated environments (e.g. pharma) built experience with compliance and documentation expectations
Preferable: experience with CDISC clinical data standards and models
Willingness to travel to customer offices quarterly; 35 days onsite for onboarding preferred.
Work well within a team and collaborate with individuals with technical and non-technical backgrounds
Strong communication skills both verbal and written
Work exposure within an international environment in life sciences field
Fluent in English (in writing and speaking) German or French would be an advantage

Data Engineer with experience in Real World Data & OMOP harmonisation

Required Experience:

Your Areas of Responsibilities: Work through our customers entire data ecosystem to understand their needs and where to find and collect that information Build data wrangling program with Databricks and statistical models based on clinical and Real World Evidence data. Transform...

Your Areas of Responsibilities:

Work through our customers entire data ecosystem to understand their needs and where to find and collect that information
Build data wrangling program with Databricks and statistical models based on clinical and Real World Evidence data.
Transform data in defined standards using controlled terminologies
Support the evaluation of the designed models and present results through data visualization

Your Qualification and Experience:

University Degree in Statistics Biology Computer Science Bioinformatics etc.
3 - 5 years of relevant work experience in Data Science within Life Sciences R&D domain
Good understanding and work exposure with Databricks
Experience in data wrangling modelling integrating and comparing a wide range of clinical data types
Hands-on experience with real-world data (e.g. UKBB CPRD claims registries)
Strong knowledge of the OMOP data model and mapping RWD to OMOP
Proven ability to transform data into fixed models and apply internal/external controlled terminologies
Databricks expertise including code optimization and workspace configuration for efficient pipelines
Azure DevOps (ADO) experience including preparing pipeline releases to Databricks
Demonstrated experience working in regulated environments (e.g. pharma) built experience with compliance and documentation expectations
Preferable: experience with CDISC clinical data standards and models
Willingness to travel to customer offices quarterly; 35 days onsite for onboarding preferred.
Work well within a team and collaborate with individuals with technical and non-technical backgrounds
Strong communication skills both verbal and written
Work exposure within an international environment in life sciences field
Fluent in English (in writing and speaking) German or French would be an advantage

Data Engineer with experience in Real World Data & OMOP harmonisation

Required Experience:

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

Wega Informatik AG

We are a Life Science and IT service provider that has been successfully carrying out 'state-of-the- art' projects for international customers for more than 30 years. Our consultants work eitherfrom homeoccasionally at our office in Baselsometimes on our customer's premises ... View more

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