Beschreibung
For one of our Swiss Pharma clients we are looking for temporary support as:Data Scientist (M/F/*)
Tasks:
• Develops analytical methods and predictive models that deliver impact on research and drug develop programs
• Contributes to the design of AI supported data platform
• Ensures that the scientific question being addressed and interpretation of the data being used is commonly and accurately understood within the team
• Contributes to the identification and preparation of chem/biomedical datasets for applications
• Develops key results and quality benchmarks for data, models and impact in collaboration with scientific users
• Develops approaches, methods and models iteratively, communicating results effectively with non-data scientist associates, supporting expert introspection at each stage
• Applies expertise in machine learning, deep learning, data vizualisation and structured/unstructured data analytics towards the scientific goals of team
• Engineers solutions in Python, R - C, for productization of models and Java, for vizualisation or prototyping are desirable
Qualifications:
• Technical experience on Spark, distributed ML / DL, Python / R libraries, TensorFlow, docker container, ML algorithm
• Strong computer science background with automation/integration is plus
• Basic understanding of genomics and bioinformatics
• Understand the difference between ML Runtimes which includes Spark and a number of common libraries bundled with it
• Able to compile, install and manage configuration of Machine Learning libraries and technologies (Esp. python and R languages, and esp. CUDA, NCCL, XGBoost, TensorFlow)
• Able to install and manage configuration of Machine Learning tools and technologies using docker container solution
• Understand the distributed ML/DL algorithms and be able to tune and test the algorithms with scalability based on the use case
• Business Fluency in English
Frame Data:
• Start: 01.01.2020
• Duration: until 31.12.2020 with possibility of extension
• Capacity: from 70% part-time until 100% full-time onsite possible
• Location: Basel Area, Switzerland