• Altran Technologies
  • Basel, Switzerland
  • 31/08/2018
Full time Data Science Data Engineering Data Analytics Data Management Statistics Software Engineering

Job Description

With over 45'000 consultants around the world and revenue of EUR. 2.9 Bn, the Altran Group is the undisputed global leader in Engineering and R&D services (ER&D).

In Switzerland, Altran employs more than 250 consultants and aims towards large growth with offices located in Zürich, Basel, Lausanne and Geneva.

 Altran deploys its expertise particularly in:

- Life Sciences (Pharma, Biotech, and Medical Devices),

- Industry, Aerospace, Automotive, Energy, Railways,

- Financial Services: P&C Insurance, Health Insurance, Reinsurance, Banking

- Telecoms

- Public sector

Our offer

  • A permanent contract with the leader in innovation and high-tech engineering consulting.
  • A multi-stage model with career opportunities through specialization prospects, as well as through continuing professional education and training.
  • A steep learning curve due to diverse and cross-industrial project opportunities.
  • An open and constructive corporate culture with over 30,000 colleagues in over 20 countries.
  • Helping clients to realize ideas from ideation, prototyping, industrialization of products, manufacturing, scale-up, distribution as well as service provisioning/support.
  • Global projects and global job opportunities.

Your role

Mission / Main Tasks:

Our client is investigating the use of sensors to quantify disease, enabling the use of these novel technologies in clinical trials. As Data Scientist your main tasks will include:

  • Analyze and integrate data from mobile medical devices, large multivariate clinical data sets and real-world data (such as medical claims)
  • Use modern analysis techniques to improve how we extract medically relevant information from this wealth of data
  • Other tasks may include evaluating and improving performance of published and new algorithms on clinical datasets, establishing software frameworks for efficient and effective data exploration, or scientific publication of results.

Your profile


  • MSc. (with 2-3 years of experience) or PhD in fields like computational science, life sciences, statistics, maths or physics
  • Experience in working with complex numerical challenges/ tasks
  • Fluency in Python, R, and/or Matlab