DIGITAL DATA SCIENTIST

Company:
Location: Basel, BS

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  • 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 CapGemini of EUR. 17 Bn, the Group is the undisputed global leader in Engineering and R&D services (ER&D).
  • In Switzerland, CapGemini employs more than 400 consultants and aims towards large growth with offices located in Zürich, Basel, Lausanne and Geneva.

Your role

  • Analysis of company and consortium data for different real-world digital mobility outcomes such as walking speed, for different pathological populations using wearable inertial devices (IMU, accelerometer and gyroscope
  • Building machine learning and statistical models for times series datasets and extracting clinically relevant features
  • Advise on current and future digital studies, staying up-to-date with current advanced data analytics both in standard statistics and machine learning
  • Hands-on analysis of study data following internal project management guidelines
  • Participate in or lead non-clinical activities
  • Maintain efficient interfaces with internal and external clinical teams including the global clinical statistics team, data integration engineers and analysts
  • Participate in the selection of CROs, vendors and technologies, as required, and supervise QSI project activities performed by CRO.
  • Program according to good coding practices and ensure internal quality control and reproducibility of deliverables.
  • Maintain records for all assigned projects and archive trail / project analysis and associated documentation. May involve designing or enhancing data storage system
  • Train staff on trial and project level activities and internal processes
  • Help review statistical analysis plans (SAP), summary reports and presentations for accuracy and clarity

Your profile

  • MS, PhD, or equivalent, in mathematics, engineering, statistics or computer science
  • 3+ years of relevant professional experience
  • Demonstrable experience working with time series data analysis
  • Demonstrable experience modelling, integrating and comparing a wide range of clinical data types (objective monitoring and assessments, subjective questionnaires, etc.) and sampling rates (daily, monthly, irregular)
  • Demonstrable expert knowledge of the R or python programming language and good programming practice (code annotation, version control, etc.)
  • Demonstrable leadership in driving scientific analytical plans and methods development.
  • Demonstrable ability in driving effective communication with cross-functional scientific/clinical teams
  • Ability to explain complex ideas to non-experts.
  • Demonstrable organizational skills
  • Fluent English (oral and written)

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