Morgan Philips Group

Data Scientist - Digital Health Machine Learning

Job description

Important Pharmaceutical comapany is looking for a Machine Learning Data Scientist to support a diverse range of projects including: developing, optimizing and scaling learning algorithms and models, prototyping applications, building tool and infrastructure to serve and monitor models, providing software design and programming support to research projects. The role will interact with product engineering, digital health platform teams, and research teams, and also work closely with the Digital Health R&D subject matter experts and collaborators to develop novel approaches that support the development of patient and HCP-facing digital products.

  • Design, develop, test, deploy and maintain ML infrastructure.
  • Optimize model training infrastructure, pipelines, and model/dataset versioning. Perform model training, hyper parameter tuning.
  • Release ML or statistical models into production using APIs or on-device inference. Monitor model performance and manage continuous learning pipelines.
  • Set up multimodal data pipelines for ingesting and processing text, audio, images, and streaming events.
  • Build libraries and frameworks that support web or mobile applications.
  • Collaborate in a multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals.

  • Bachelor's Degree in a quantitative field (computer science, mathematics, statistics, etc.) with industry experience with machine learning infrastructure or a combination of data science/ML experience and Dev Ops experience.
  • Extensive experience with programming in Python and experience working with Pytorch and Tensorflow.
  • Research or industry experience in Artificial Intelligence, Machine Learning (ML) models, ML infrastructure, Natural Language Processing, Computer Vision or Deep Learning.
  • Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, KSQL, etc.)
  • AWS or other cloud compute experience including SysOps.
  • Experience with ML pipeline orchestration and monitoring (bespoke or with tools such as Apache Airflow or Snowflake)
  • Residence: Barcelona

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