Staff Data Scientist, Graph ML

Job Description: • Develop and deploy graph ML solutions to synthesize and extract novel insights from Valo data in the context of a vast corpus of knowledge in medicine, molecular biology, human genetics, and drugs, to drive compute-enabled biological hypothesis generation. • Collaborate closely with a diverse group of data scientists and biologists to enable the contextualization of predicted drug targets within relevant patient subpopulations. • Communicate methodological approaches and key results to internal and external 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 projects and applications. Requirements: • MS or PhD in a quantitative field with extensive experience at the intersection of machine learning and graph analytics • Experience in healthcare, medicine, molecular biology, computational biology, or life sciences. • Advanced knowledge of and experience with graph ML techniques such as Graph Neural Network (GNN) models applied to link prediction, node classification, and other biomedical-relevant computational tasks, as well as related explainability methods • 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, code versioning, reproducibility, git, etc), large-scale data analytics engines (e.g., Spark or Dask), and working in cloud 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: • healthcare coverage • annual incentive program • retirement benefits • broad range of other benefits Apply tot his job Apply To this Job