The Staff Data Scientist will use systems biology approaches to lead target discovery and prioritize candidates, collaborating with scientists and engineers to leverage internal datasets for insights. Responsibilities include performing multi-omics analyses, supporting research questions, engaging with stakeholders, and presenting actionable results.

The Senior Staff Data Scientist will lead and contribute to computational biology efforts in drug target validation, leveraging complex data sources to derive insights. Key responsibilities include coding in Python or R, collaborating with cross-functional teams, and addressing scientific challenges creatively.

The Staff Electrical Engineer will lead electrical engineering projects, design stimulation infrastructure, code software for user interfaces and result analysis tools, troubleshoot systems, and mentor team members. Responsibilities include managing vendors, documenting product development, and contributing to intellectual property efforts.

As a Data Engineer at Valo Health, you will develop data transformation pipelines, contribute to knowledge graph integration, and build visualization tools, supporting the analysis of biological data. Collaboration with data engineers and scientists is key, as you'll work to create analysis-ready data products from various sources.

The Scientist I will manage compound management workflows, coordinate activities with various science teams, maintain supplies for uninterrupted operations, and interface with CROs for compound orders. This role requires knowledge of automation platforms, organization skills, and effective communication to support drug discovery processes.

The Scientist I, Computational Biologist at Valo Health will identify and prioritize biological targets, support target discovery using computational techniques, evaluate biological hypotheses, and communicate findings to diverse audiences. This role requires collaboration with data scientists and interdisciplinary problem-solving.

As a Data Scientist II at Valo Health, you will work within a team to develop computational models and machine learning tools to enhance drug discovery processes. Responsibilities include data capture, analysis, visualization, and experimental design, along with the development of predictive models related to tissue engineering for drug candidates.

As a Senior Data Scientist at Valo Health, you will build a computational platform utilizing genetics and multi-omics data to discover drug treatments. You will work in a multidisciplinary team, communicate insights to stakeholders, and design experiments. Your role involves leveraging cutting-edge data analysis techniques and collaborating with experts to ensure impactful results in drug discovery.