Valo Health

Full-stack Engineer

• Collaborate with Platform Engineers and Data Scientists to design and implement Valo Health’s Software infrastructure and architecture in multiple environments
• Execute Software and Infrastructure maintenance tasks
• Create tools and processes to incrementally allow self-service by users to decrease the overall support burden and empower users
• Collaborate with data scientists, medicinal chemists and other stakeholders to drive projects in a highly cross-functional environment
• Troubleshoot and improve Valo Health’s Software infrastructure
• Foster a collaborative, agile, outcome-focused, team culture

Software Engineer 2, Infrastructure

Data Scientist

• Develop and deploy graph ML solutions to synthesize and extract novel insights from Valo data in the context of a vast corpus of knowledge in medicine, molecular biology, human genetics, and drugs, to drive compute-enabled biological hypothesis generation.
• Collaborate closely with a diverse group of data scientists and biologists to enable the contextualization of predicted drug targets within relevant patient subpopulations.
• Communicate methodological approaches and key results to internal and external cross-functional stakeholders.
• Work with other data scientists, software engineers, and data engineers to continue building and improving Valo’s integrated graph platform to accelerate insights across multiple projects and applications.

Staff Data Scientist, Graph ML

• Lead project teams of world-class data scientists developing and applying robust, generalizable solutions to core scientific problems.
• Work with a diverse set of stakeholders to develop project plans that support program needs, develop alignment between functional teams and stakeholders, and prioritize.
• Work with an array of data types alongside genetic sequencing data, including electronic medical records, multi-omics data, and other data modalities using R or Python in cloud environments.
• Be comfortable with scientific uncertainty and embrace curiosity and creative solutions.
• Collaborate with drug discovery and clinical development teams to help ensure the relevance and impact of the insights generated by you and your teammates.
• Be a dynamic and active team member, championing and adopting shared coding standards, participating in code review, and providing regular updates of your work and input into the work of your colleagues

Software Engineer 2, Infrastructure

Staff Data Scientist, Graph ML

Senior Staff Data Scientist, Statistical Genetics