Valo Health - Staff Data Scientist, Graph ML
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. • Experience with traditional drug discovery and development processes and approaches • Domain expertise in neuroscience, immunology, and/or cardio-metabolic biology • Knowledge of related data science domains, including statistical genetics, multi-omics & real-world evidence
Responsibilities
• Lead the design, implementation and application of graph ML and network biology approaches to target discovery from RWD and multi-omic datasets. • Prototype new approaches aimed at enhancing and improving Valo’s graph platform, seeking out new scientific opportunities to increase the team’s impact. • Work with world-class engineers to ensure that graph methodologies, graph construction, and underlying data are robustly integrated, to develop generalizable solutions to core scientific problems. • Be an agile and pro-active Data Science team member, providing regular updates on your work, and input into the work of your colleagues; championing data science best practices; participating in code, design, and analysis review.
Benefits
• $200,600—$236,000 USD • $170,000—$200,000 USD • Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future. • Please note: At this time, we are only able to consider candidates who currently have permanent US work authorization without the need for immediate or future sponsorship. • currently
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