Valo Health

πŸ‘₯ 101-250πŸ’° Series C over 2 years agoBiotechnologyMedicalInformation TechnologyHealth CareπŸ’Ό Private Company
Website LinkedIn Email Twitter

Valo Health accelerates the development of life-changing therapies using a cutting-edge, AI-powered computational platform, Opal. We're a leading biotechnology company leveraging large-scale data and advanced machine learning to transform the drug discovery and development process. Our unique approach integrates human-centric data across the entire drug development lifecycle, reducing costs and timelines while increasing success rates. We focus on key therapeutic areas including cardiovascular, metabolic, renal, oncology, and neurodegenerative diseases. Our engineering teams utilize a robust tech stack including Snowflake, Redshift, or BigQuery for cloud data storage; Domino, Kubeflow, Prefect, Ray, and Spark for data science workflow orchestration; and implement CI/CD practices for efficient development. We foster a collaborative and inclusive engineering culture, emphasizing continuous learning, improvement, and celebrating successes. We offer opportunities for both on-site and remote work, providing a flexible and supportive environment for our team members. Valo is committed to diversity and inclusion, believing that a diverse workforce fuels innovation. We value fearless problem-solving, rapid learning, and constant improvement. Backed by significant funding and boasting a rapidly expanding team, Valo offers a unique opportunity to contribute to groundbreaking advancements in healthcare. We are currently focused on building out our data engineering, machine learning, and data science teams. Valo's success is evidenced by its substantial funding rounds and strategic partnerships with industry leaders. We are consistently pushing the boundaries of what’s possible in drug development, offering a dynamic and impactful career path for passionate individuals.

Related companies:

Jobs at this company:

Apply

πŸ“ United States

🧭 Full-Time

πŸ’Έ 150000.0 - 205000.0 USD per year

πŸ” Healthcare Technology

  • PhD or MPH/MS with 2+ years experience
  • Experience with electronic health records and administrative claims databases
  • Knowledge of epidemiology research methods
  • Proficiency in data manipulation and statistical analysis using Python and/or R
  • Design studies and code analyses
  • Present results to stakeholders
  • Collaborate with domain experts
  • Champion coding standards and participate in code reviews

Python

Posted about 21 hours ago
Apply