Data Scientist


We are seeking a highly motivated and resourceful person to join our Biomedical Imaging Business Unit as a Data Scientist. This opportunity is well suited for those who are passionate about machine learning and would like to leverage their skills to solve complex problems in precision medicine.

Ardigen’s Biomedical Imaging Business Unit delivers the most advanced AI-based technologies supporting the drug discovery process. We increase pharmaceutical R&D efficiency through AI.

Job description
  • Working in a multidisciplinary team including cheminformaticians, software engineers, data scientists, and machine learning engineers
  • Designing and applying methods based on machine learning and deep learning to solve various problems in precision medicine
  • Implementing and deploying machine learning models using Python (using frameworks such as TensorFlow, PyTorch, scikit-learn, and others)
  • Staying up to date with current research and methodology on applying machine learning and deep learning to life sciences
  • MSc in computer science, mathematics, statistics, physics, cheminformatics, computational biology/chemistry, or a related field
  • Hands-on experience in projects using methodology from various areas of data science: deep learning, machine learning, statistical learning, data mining, natural language processing, or big data solutions
  • Working knowledge and intuition on statistical and machine learning methods and concepts (regression, classification, validation procedures, dimensionality reduction, clustering, feature selection, data mismatch, etc.)
  • Programming skills in Python and good programming practices
  • Experience with distributed version control systems (Git or equivalent)
  • Ability and willingness to pass knowledge to others
  • Team player with good communication skills
  • Good written and verbal communication skills in English (at least the B2 level)
You get extra points for
  • Life Science knowledge or experience in projects in that domain
  • Statistical competence (such as Bayesian inference, A/B testing, significance testing, etc.)
  • Experience with deep learning libraries (Keras, TensorFlow, PyTorch, etc.)
  • Experience with tools related to an efficient machine learning life cycle, such as Docker, Kubernetes, MLFlow, trains, kubeflow
  • Experience in working with AWS or equivalent
  • Cloud computing using Spark, Hive, Hadoop, MapReduce, Pig, etc.
  • Experience in using R, Julia, Matlab or Scala in the data science context 
  • Experience in working along the principles of Agile/Scrum
We offer
  • Solving challenging problems to contribute to breakthrough solutions in the fight against cancer
  • Freedom to use cutting edge technologies and tools
  • Developing skills in an interdisciplinary and inclusive team of experts/scientists/engineers with a passion for their craft
  • Possibility for computing on GPUs on-premises and in the cloud
  • Participating in research and co-authoring publications and posters
  • Participating in training, conferences, etc.
  • Competitive salary and wide range of employee benefits (private medical care, Multisport card, life insurance, days with fruits, English lessons, volleyball and football teams)
  • Exceptional, well-resourced and comfortable working environment in modern office
  • Working with innovative companies and scientists worldwide
  • A friendly, informal atmosphere and flexible working hours

We kindly ask you to add the following clause to your application: „I hereby express my consent to the processing of my personal data by Ardigen S.A. for the purpose of existing recruitment process”. If you want us to keep the submitted documents also for the purposes of future recruitment processes, we kindly ask you to add the following clause to your application: „I hereby express my consent to the processing of my personal data by Ardigen S.A. for the purpose of future recruitment processes for a period of 3 years from the date of submission of this document, in order to analyse them in terms of the recruitment processes carried out in Ardigen.”


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