Staff Data Scientist, Graph ML

Valo Health is a biotechnology company leveraging AI and human expertise to accelerate drug discovery and development, fostering an inclusive environment and diverse talent.

Location: Remote (US)

Salary: $170,000—$236,000 USD

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 engineers to ensure graph methodologies, construction, and data are robustly integrated to develop solutions to scientific problems.
• Apply technical knowledge to break down large problems into solvable pieces, prioritizing critical issues.
• Be an agile team member, providing updates, input, and championing data science best practices.

Requirements

• MS or PhD in a quantitative field with extensive experience in machine learning and graph analytics.
• Experience in healthcare, medicine, molecular biology, computational biology, or life sciences.
• Advanced knowledge of graph ML techniques such as GNN models for link prediction, node classification, and explainability methods.
• Experience or knowledge of knowledge-graph building and graph databases.
• Familiarity with graph algorithms and Python libraries.
• Strong experience in Python, machine learning/deep learning frameworks (e.g., PyTorch).
• Experience with data science best practices, large-scale data analytics engines (e.g., Spark, Dask), and cloud environments (e.g., AWS).
• Strong visualization, analytical, problem-solving, and communication skills.

Benefits

• Healthcare coverage
• Annual incentive program
• Retirement benefits
• Broad range of other benefits

Additional Information

• Compensation depends on qualifications, skills, and experience.
• Candidates must have permanent US work authorization without sponsorship.