Search the 8 jobs at Valo Health

As a Data Scientist II at Valo Health, you will connect data science, tissue engineering, and drug discovery efforts. Responsibilities include developing computational models, data pipelines, and machine learning tools to enhance the understanding of human tissue models. You'll work collaboratively with scientists to analyze datasets and present findings, while ensuring data integrity and aiding in experimental design.

Lead and manage a team of data engineers to maintain and grow Valo Health's data engineering platform. Collaborate with multi-functional teams to support drug discovery efforts by driving the evolution of the data platform, ensuring scalability, and promoting best practices in data management and governance.

As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.

As a Senior Data Scientist in Computational Biology, you will integrate and analyze omics data, ensure data quality through bioinformatics pipelines, conduct biological analyses to support drug discovery, and communicate results effectively across various teams. You will contribute to target identification and validation, collaborating with multi-disciplinary experts in the field.

The Staff Research Lead will oversee research projects in drug discovery, focusing on real-world data studies and patient-centric insights. Responsibilities include translating research questions into study designs, managing projects using agile tools, collaborating with cross-functional teams, and working with diverse data types using R and Python in cloud environments.

The Staff Electrical Engineer will lead electrical engineering projects from concept to production, focusing on Organ-on-a-Chip systems. Responsibilities include circuit design, software coding for interfaces, troubleshooting electrical issues, mentoring colleagues, and managing vendor relationships, all while ensuring quality and adherence to budget and timelines.

Manage AWS Cloud infrastructure for Data Science and Machine Learning environments. Resolve user problems, automate tasks, and improve overall operational costs and user experience.

This role involves developing cellular assays and managing high throughput screens to advance drug compounds. The scientist will work with cross-functional teams, identify useful assays, present research findings, and maintain detailed records while adhering to lab safety standards.