Morgan Philips Group

Data Scientist - Digital Health R&D

Job description

Important Pharmaceutical Company is looking for a Data Scientist - Digital Health R&D:


Responsibilities


  • Drives projects with hands-on data science, analysis, or mathematical modeling.
  • Delivers sophisticated data science solutions to the company projects, selecting analytical methods with appropriate complexity given a clinical or business challenge.
  • Engages technical and non-technical collaborators within the wider organization to frame complex challenges, structure analytical solutions, and communicate results.
  • Independently keeps own knowledge up to date and learns from senior team members, proposing appropriate training courses for personal development.
  • Reviews working practices and ensures non-compliant processes are raised
  • Collaborates in a multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals.
Requirements:


  • B.Sc. in a relevant field (such as mathematics, computer science, engineering).
  • Demonstrated an outstanding track-record of industry experience with the desired data science methodologies
  • Practical software development skills in standard data science tools: Python, Agile, Code code versioning (bitbucket/git), UNIX skills, familiarity working in cloud environment (AWS preferred)
  • End-to-end experience leading collaborative data science projects in an industry setting
  • ML Ops experience: model tracking, model governance, multiple models in different production contexts
  • Experience developing machine learning first products including time-series analysis, forecasting, behavioral analysis
  • Knowledge of range of mathematical and statistical modelling techniques and drive to continue to learn and develop these skills.
  • Communication, business analysis, and consultancy; ability to present compelling cases to stakeholders and operate dynamically to identify solutions.
  • Residence: Barcelona

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