Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
We believe the success of our colleagues drives the success of our Mission. We have an ongoing commitment to creating a company passionate about equality, inclusion, and respect. When everyone feels supported and encouraged to give at their best, we will collectively deliver outstanding results.
Vir Bio is seeking a Principal Data Analytics Engineer who will work various groups across Vir organization in San Francisco and/or San Diego to support data engineering, data management, and analytics needs across all of Vir. You will collaborate with the Data Science team in Research, Clinical and TechOps to develop data sources to support bioinformatics and machine learning, while collaborating with other groups to provide data marts and analytical tools to support their operations. The Data Science team, formed by engineers, bioinformaticians, genome analysts and machine learning specialists, builds data infrastructure, pipelines and data analytics across the company.
RESPONSIBILITIES AND LEARNING OPPORTUNITIES:
QUALIFICATIONS AND EXPERIENCE:
This role may be performed remotely if VIR can support remote work arrangements in the state where you currently reside. This includes most states within the US. If you move forward in the hiring process, VIR recruiters will discuss options with you.
Vir Biotechnology is a clinical-stage immunology company focused on combining immunologic insights with cutting-edge technologies to treat and prevent serious infectious diseases. Vir has assembled four technology platforms that are designed to stimulate and enhance the immune system by exploiting critical observations of natural immune processes. Its current development pipeline consists of product candidates targeting SARS-CoV-2.