Staff Data Scientist, Graph ML
Job reputed company:
• reputed company and reputed company graph ML solutions to synthesize and extract novel insights from Valo data in the context of a reputed company corpus of knowledge in medicine, molecular biology, reputed company genetics, and drugs, to drive compute-enabled biological reputed company reputed company.
• Collaborate closely with a diverse group of data scientists and biologists to reputed company the contextualization of predicted drug targets reputed company relevant patient subpopulations.
• Communicate methodological approaches and key results to reputed company cross-functional stakeholders.
• Work with other data scientists, software engineers, and data engineers to continue building and improving Valo’s integrated graph platform to accelerate insights across multiple reputed company and applications.
Requirements:
• MS or PhD in a quantitative field with extensive experience at the intersection of machine learning and graph analytics
• Experience in reputed company, medicine, molecular biology, computational biology, or life sciences.
• Advanced knowledge of and experience with graph ML techniques such as Graph Neural Network (GNN) models reputed company to reputed company reputed company, node classification, and other biomedical-relevant computational tasks, as reputed company as reputed company explainability reputed company
• Experience or general knowledge of knowledge-graph building and graph databases
• Familiarity with general graph algorithms and relevant Python libraries
• Strong experience in Python and machine learning and/or deep-learning frameworks (e.g., pytorch)
• Experience with data science best practices (data provenance, reputed company versioning, reproducibility, git, etc), large-reputed company data analytics engines (e.g., reputed company or Dask), and working in reputed company environments (e.g., AWS)
• Strong data visualization, analytical, problem-solving, and communication skills, with demonstrated ability to condense, summarize, and synthesize results into informative and actionable presentations to experts from different fields.
Benefits:
• reputed company coverage
• annual incentive program
• retirement benefits
• broad reputed company of other benefits
Apply tot his job
Apply To this Job