Valo Health is seeking an Associate Director of Computational Biology to lead a team in applying advanced computational techniques for therapeutic discovery. The ideal candidate will have a strong background in high-dimensional data analysis and experience in managing technical teams, with a focus on fostering collaboration and innovation
Job Summary
Lead a diverse team of technical experts developing and applying cutting-edge quantitative approaches to drive therapeutic discovery.
Design, develop, and implement multi-omic, graph ML, and other high-dimensional analyses of relevant biological data to support identification of therapeutic targets, biomarkers, and disease mechanisms.
Collaborate cross-functionally with other data science teams, as well as Discovery Biology and therapeutics experts to integrate diverse inputs into cohesive execution plans driving differentiated insights.
Matching Summary
Match Score: 85
Valo Health is seeking an Associate Director of Computational Biology to lead a team in applying advanced computational techniques for therapeutic discovery. The ideal candidate will have a strong background in high-dimensional data analysis and experience in managing technical teams, with a focus on fostering collaboration and innovation.
Salary
$187,000 - $240,000 USD; $220,000 - $280,000 USD; Not specified
Skills & Requirements
Must-have
multi-omics data analysis
high-dimensional data analysis
Python and/or R
network analysis
graph ML approaches
cross-functional collaboration
Nice-to-have
multivariate causal reasoning
cardiometabolic disease expertise
neurodegenerative disease expertise
observational study design
statistical genetics approaches
Key Requirements
PhD in Computational Biology, Systems Biology, Bioinformatics, or related quantitative field
Team leadership experience
Prior industry experience
Expertise in analysis of high-dimensional biological data
Experience with collaborative development and documentation practices
Proven technical and executive communication experience
Proven ability to operate in fast-paced, ambiguous environments