Data Engineer (m/w)

myitjob GmbH

Riehen · On-site 3d ago

About the role

Work through our customer's 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

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; 3–5 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

University Degree in Statistics, Biology, Computer Science, Bioinformatics, etc.
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
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

Work through our customer's 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

AzureAzure DevOpsBioinformaticsBiologyCDISCDatabricksDevOpsEnglishFrenchGermanLife SciencesOMOPPharmaStatisticsUKBBUS

ScoutIT

BDO USA

$138k – $170k/yr

Versant Media

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