Java Programming, Python Programming, AWS, Machine learning techniques, Kanban, R Programming, Shell Scripting language, SPARK Programming, Statistical modeling
Valo Health is a technology company applying human and machine intelligence to accelerate the creation of life-changing medical treatments. At the core of this vision is Valo’s computational platform: an end-to-end, integrated drug discovery and development engine that is being built from the ground up.
Valo hires the best and gives them first-class training and support. If you’re driven to perform, you’ll fit right in! We approach our work fearlessly, learn quickly, improve constantly, and celebrate our wins. A centerpiece of our culture is our commitment to inclusion across race, gender, age, religion, identity, and experience. Diversity fuels the Valo experience and drives us every day. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
About the Role...
Valo is looking for a Staff Data Scientist to join the Real World Evidence team to advance our preclinical programs and drive development of our drug-discovery platform. You will execute complex initiatives and lead projects aimed at leveraging and maximizing the potential of real world data (RWD) within Valo’s broader data ecosystem. Successful candidates will work with a diverse set of scientists, entrepreneurs, and domain experts across traditional industry boundaries.
Valo’s Opal platform has state of the art computational chemistry, computational clinical, and biological platforms focused on CVMRI drug discovery, including data generation (laboratory & clinical trials), data platform (engineering), and software architecture support to enable novel compute- and human-first drug discovery and development. Opal is an AI-based platform that leverages human-centric data to enable researchers to discover and develop new drugs. Opal is a fully integrated, AI-powered, cloud-native platform that leverages human-centric data to create new approaches to drug discovery and development enabling researchers to minimize the cost and time associated with discovery, development, and delivery of novel therapeutics. The predictive insights produced by Opal rely on high-quality, high-density human-centric data that is sourced from multiple data sets, processed both remotely and on site through a highly complex process.
What You’ll Do…
What You Bring…
Valo Health, LLC (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture.