Valo Health

HQ
Boston, Massachusetts, USA
Total Offices: 3
221 Total Employees
Year Founded: 2019

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Jobs at Valo Health

Search the 5 jobs at Valo Health

Recently posted jobs

Artificial Intelligence • Machine Learning • Software • Biotech • Pharmaceutical
As a Scientist I in Cellular Assay Development and Screening, you will develop cellular assays, manage high throughput screens, and work with various scientific techniques to drive compounds through the pipeline, while maintaining detailed electronic records and ensuring compliance with lab safety regulations.
Artificial Intelligence • Machine Learning • Software • Biotech • Pharmaceutical
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.
Artificial Intelligence • Machine Learning • Software • Biotech • Pharmaceutical
The Director of Data Engineering will manage and grow a team of data engineers to enhance Valo's data platform, ensuring its robustness and scalability. The role involves collaborating with cross-functional teams to support drug discovery efforts, simplify data access for scientists, and foster best practices within the team.
19 Days Ago
New York, NY, USA
Artificial Intelligence • Machine Learning • Software • Biotech • Pharmaceutical
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.
21 Days Ago
USA
Remote
Artificial Intelligence • Machine Learning • Software • Biotech • Pharmaceutical
The Staff DevOps Engineer will manage and develop AWS Cloud infrastructure for Data Science and Machine Learning, resolve user problems, create self-service tools, and improve operational costs.