MC learning job position in PF

Machine Learning Research Scientist

• Formal training in Computer Science, Statistics, Applied Mathematics, Computational Biology , Computational Chemistry, Physics, related technical discipline, or relevant practical experience
• 2+ years’ programming experience in Python
• 2+ years’ experience in software design, development, and algorithm-related solutions for production-grade systems using machine learning
• Applied experience with major ML algorithms in either of natural language processing, computer vision, and information retrieval (CNNs, transformers, etc.)
• Working knowledge of one or more scientific data types (e.g. biomedical images, biomedical text, large-scale, multidimensional 'omics, large- or small- molecule therapeutics, clinical or Real World Data, etc.)

Preferred Qualifications

• MS/PhD + 2 years of relevant research experience
• Experience with high performance computing (HPC) environments (SLURM/LSF/SGE schedulers)
• Familiarity with cloud computing platforms (AWS, Google Cloud, etc.)
• Practical experience with deep learning-based solutions
• Strong publication record and demonstrated contributions to the field, e.g. NeurIPS, ICML, ICLR, etc.
• Passion and curiosity for data and proven ability to take ideas from prototype to production.

Technologies We Use:

Python, Java, C++, Slurm-based on-premise compute clusters, Google Cloud Platform, AWS, Docker, Singularity, Kubernetes, Python (Numpy, Pandas, Dask, PyTorch, TensorFlow, sci-kit learn, RDKit, Weights and Biases etc.