• Altran Technologies
  • Basel, BS, Switzerland
  • 05/10/2020
Full time Data Science Data Analytics Big Data Data Management Statistics

Job Description

  • A permanent contract with the leader in innovation and high-tech engineering consulting.
  • A multi-stage model with career opportunities through specialization prospects with over 250'000 consultants around the world and a Group revenue (Altran/CapGemini) of EUR. 17 Bn, the Altran Group is the undisputed global leader in Engineering and R&D services (ER&D).
  • In Switzerland, Altran employs more than 400 consultants and aims towards large growth with offices located in Zürich, Basel, Lausanne and Geneva.

Your role

  • This role would be responsible for overseeing clinical data unification efforts and the accurate ingestion and analysis of data pertaining to pools, support anonymization activities, implementation of semantics and metadata standards set for the enterprise, Quality and process excellence.
  • Oversee the operations of the end-to-end data pipelines supporting the delivery of high-value clinical data.
  • Determine and develop the maximally flexible architecture needed to serve both core and non-core use-cases of the clinical data asset.
  • Implement and support the FAIR principles through the data pipelines created and operated within this role.
  • Lead all aspects of data unification and anonymization efforts and collaborating teams.
  • Support documentation creation of data processed through clinical data pipelines.
  • Support the implementation of key data quality processes and metrics to ensure high-quality data products are delivered to customers.
  • Serve as a single point of contact for all clinical-data related needs, questions and concerns about clinical data.
  • In conjunction with a Scrum Master, guide an Agile team (5-10) who support technical data engineering tasks and human processes required to curate the data.

Your profile

  • Master’s Degree or higher in Computer Science, Data Engineering, Clinical Biostatistics, Statistical Programming Second degree in Data Science or statistics preferred (or any engineering field), or equivalent.
  • 10+ years of experience working with clinical data.
  • Operational experience running large data operations.
  • Knowledge of and experience with CDISC standards including SDTM and AdAM.
  • Knowledge of data pipeline and architectural decisions/trade-offs.
  • Experience with semantics technologies and approaches would be an asset.
  • Have experience working in an environment that uses an Agile Sprint methodology.
  • Integrity and transparency are core attributes.
  • Fluent in English is required