Staff Data Scientist, Graph ML
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Developing and deploying graph ML solutions to synthesize insights for drug discovery at Valo Health. Collaborating with data scientists and biologists to contextualize predicted drug targets.
Responsibilities:
- 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
Similar Jobs
Data Scientist, AWS
Data Scientist developing scalable analytical solutions focused on machine learning and generative AI on AWS. Join an international team at Coderio in a remote-first culture.
Data Scientist – GTM
Data Scientist helping 0x leverage on-chain data for go-to-market strategies and revenue growth. Collaborating closely with teams to drive data-driven decision-making and improve sales execution.
Staff Data Scientist
Staff Data Scientist leading machine learning initiatives for personalization and optimization at NerdWallet. Drive modeling efforts to enhance user experience and profitability across marketplaces.
Operations Modeling Data Scientist – System Application Analyst, Senior
Data Scientist responsible for predictive modeling and analytics at OHSU, enhancing healthcare operations through advanced analytics. Collaborating with technical teams and managing projects in a remote setting.
Lead Data Scientist
Lead Data Scientist at City of Hope developing predictive analytics tools for clinical decision support. Collaborate with teams to enhance patient care through data-driven solutions.
Analytics Lead Analyst
Analytics Lead Analyst creating analytic solutions to support operational efficiency at The Cigna Group. Collaborating with leadership to enhance reporting and data visualization across operations.
Staff Machine Learning Engineer, Data Science
Staff Machine Learning Engineer at OLX focused on developing ML pipelines and improving user experience through scalable data solutions.
Data Scientist – Enterprise Risk Management, AI Governance
Data Scientist developing and maintaining AI-driven solutions within Allstate’s Enterprise Risk Management. Collaborating with teams on data-driven AI governance and risk management initiatives.
Lead Data Scientist – Merchandising & Pricing
Lead Data Scientist focusing on AI and Machine Learning for merchandising and pricing at DICK'S Sporting Goods. Collaborating with teams to implement data-driven decision-making tools and optimize retail strategies.
Data Scientist
Data Scientist responsible for analytics and machine learning model development in healthcare SaaS at Provation. Collaborating with teams to improve healthcare outcomes and operational efficiency.
Data Scientist – Modeling
Data Scientist developing advanced machine learning models at Machinify to enhance claims auditing accuracy and improve business outcomes in healthcare. Seeking expertise in data-driven optimization and ML modeling.
Senior Data Scientist
Senior Data Scientist at Apogee Global RMS designing and deploying machine learning solutions. Collaborating with teams to support product innovation and strategic decision-making.
Senior Data Scientist
Senior Data Scientist at Sundays for Dogs informing scalable data solutions and analytics for dog food business. Blending data science, analytics, and platform-building in a remote role.
Staff Data Scientist – Product Analytics
Staff Data Scientist leading product analytics at Salla, the largest e-commerce enabler in Saudi Arabia. Responsible for event tracking, A/B testing, and collaboration with product teams.
Staff Data Scientist – Business Analytics
Staff Data Scientist focused on business analytics for an e-commerce platform. Leading strategic analytics and causal measurement to optimize growth initiatives and improve decision-making.
Data Scientist – Platform Integrity
Data Scientist focused on risk and user experience at a sports-focused games platform. Collaborating with product and engineering to optimize user interactions and data-driven decisions.
Data Scientist II – Global Watchlist
Data Scientist II at Socure bridging Watchlist R&D and Customer Applications teams. Accelerating model deployment through automated frameworks and monitoring systems for identity verification.
Data Scientist
Data Scientist leading projects in the Data Science team of a workforce on-demand company. Collaborating with various teams to implement data models and algorithms.
Principal Data Scientist
Lead design and development of machine learning models to enhance claims management at Sedgwick. Collaborate with teams for integrating analytics within enterprise systems while mentoring junior staff.
Lead Clinical Data Manager
Lead Clinical Data Manager overseeing end-to-end data management for global clinical trials at IQVIA. Ensuring quality and compliance while mentoring teams and managing client deliverables.