MACHINE LEARNING RESEARCH ASSOCIATE

  • Roivant Sciences
  • Basel, BS, Switzerland
  • 24/11/2021
Full time Data Science Machine Learning Business Intelligence Statistics

Job Description

Roivant is a global biopharma company, headquartered in New York, that aims to improve health by rapidly delivering innovative medicines and technologies to patients. We do this by building Vants – nimble, entrepreneurial biotech and healthcare technology companies with a unique approach to sourcing talent, aligning incentives, and deploying technology. At Roivant, we will give you the resources and freedom to tackle some of the most important and challenging problems in healthcare.

For our Swiss office in Basel, we are looking for a

Machine Learning Research Associate (w/m/d)

Job summary:

  • Work with a multi-disciplinary team (chemists, biologists, biophysicists) to discover novel medicines for challenging disease targets
  • Participate in drug design meetings, bringing specific design ideas and data to influence decisions
  • Build state of the art machine learning infrastructure and workflows for molecular design
  • Apply machine learning techniques to real-world drug discovery problems
  • Identify and develop novel cheminformatics approaches to overcome critical drug discovery bottlenecks
  • Work closely with bench scientists to understand critical project bottlenecks and how machine learning can help
  • Analyze SAR data to provide informed view on property space and activity across assays
  • Apply multi-parameter optimization (MPO) techniques (including off-target selectivity and DMPK)

Qualifications:

  • Master's degree in computer science, statistics, mathematics, physics or engineering
  • Minimum of 3 years machine learning experience
  • Demonstrated track record in team-based projects
  • Strong communication skills
  • Ability to conduct independent research
  • Experience in one or more modern general purpose programming languages (C++, Python, Scala)
  • Experience in building production machine learning systems (e.g. readable and reproducible code with appropriate unit tests and modern software design principles)

Additional desirable Qualifications:

  • Experience with at least one modern Deep Neural Network package (Tensorflow, Theano, Keras, Pytorch)
  • Experience with Bayesian optimization or other black-box techniques
  • Experience in working with biological data sets (e.g. assays, DNA, RNASeq, Mass Spec.)
  • Experience in working with version control

What we offer:

  • Competitive compensation package
  • High flexibility and independency
  • Start-Up environment
  • Strongly involved in the day-to-day business from the first day on