Basel City | Freelance/temporary employment for a project
Reference number
Start date
Project duration
12 MM+
My duties
  • Work alongside quantitative scientists, domain experts and product developers to ensure teams succeed in answering scientific questions using the data platform
  • Help the users to apply and develop analytical methods and predictive models that deliver impact on research and drug development programs
  • Furthermore, collaborate on analytical pipelines (e.g. for imaging or genomics) that can be re-used across the platform
  • Ensure that scientific teams are enabled and supported to achieve their goals in the projects
  • Contribute to the acceleration of data science through activities such as the development of reusable pipelines for the data preparation and analyses.
  • Develop frameworks for generation and reporting of key results, quality benchmarks for data, models and impact in collaboration with data scientist users
  • Apply expertise in machine learning, deep learning, data visualization and structured/unstructured data analytics towards the scientific goals of the team
  • Act as an advocate for good data science practice across the data projects.
My qualifications
  • PhD in a quantitative / computational science (e.g. bioinformatics, machine learning, statistics, physics, mathematics etc.)
  • Languages: Fluency in English (oral and written)
  • Strong experience with Python for data analysis (scikit-learn, numpy etc.)
  • Experience with R for data analysis (tidyverse, mlr etc.)
  • Reproducible data science (notebooks, git/versioning etc.)
  • Experience in computational biology and statistical genetics
  • Knowledge of applied/computational data science and large-scale / big data computation
  • Experience in statistical and machine learning / deep learning
  • Knowledge of analysis of Clinical trial datasets (SDTM/ADAM) and/or RWE data
My benefits
  • Working in an international enterprise environment
  • Working for a well-known pharmaceutical company
  • Support during whole application/onboarding process
  • Administrative support over entire assignment period
About Hays
IT specialists hold all the cards: for its customers in industry and the public sector, Hays is looking for motivated employees who like looking at the bigger picture and growing with new challenges. We make sure that you benefit from our many years of experience in IT recruitment and will find you the right role to suit your skills and interests – all completely free of charge to you. Register with us and reap the benefits of job offers that are both interesting and relevant to your skills and experience.
My contact at Hays

Reference number

Phone: +41 44 225 50 00
E-Mail: positionen@hays.ch