Senior Machine Learning Scientist
Posted on 8/25/2023
INACTIVE
Vir Biotechnology

501-1,000 employees

Immunology company developing treatments for infectious diseases.
Company Overview
Vir Biotechnology, Inc. stands out as a commercial-stage immunology company that leverages advanced technologies and deep immunologic insights to combat serious infectious diseases, with a development pipeline that includes treatments for COVID-19, hepatitis B and D, influenza A, and HIV. The company fosters a culture of equality, inclusion, and respect, believing that the success of its mission is driven by the success of its colleagues. Recognized as the fastest-growing company in North America on the 2022 Deloitte Technology Fast 500™, Vir Biotechnology, Inc. demonstrates industry leadership and a strong competitive edge.
Data & Analytics

Company Stage

Grant

Total Funding

$803.6M

Founded

2016

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

5%

2 year growth

46%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Data Analysis
Data Science
Git
Microsoft Azure
R
Pytorch
Tensorflow
Python
CategoriesNew
AI & Machine Learning
Biology & Biotech
Requirements
  • Ph.D. or M.S. in Computer Science, Bioinformatics, Computational Biology, Physics, Statistics, or a related field with a focus on machine learning and artificial intelligence
  • 2+ years of experience working in a data science setting
  • Evidence of autonomous analytical skills, creativity, and high productivity through prior work experience, projects, awards and publications
  • Programming skills in Python, R, or other relevant languages. Familiarity with a second programming language
  • Expertise in multiple machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn
  • Experience with cloud computing platforms such as AWS, Azure, or Google Cloud
  • Experience with biological data analysis and domain knowledge in biotechnology
Responsibilities
  • Collaborate with interdisciplinary teams to define project goals, design experiments, and translate biological questions into computational problems
  • Stay up-to-date with the latest advancements in machine learning, artificial intelligence and computational biology, and incorporate relevant techniques into our research pipeline
  • Maintain a high standard of software best practices, including appropriate testing, code review and version management (Github)
  • Contribute to the preparation of scientific publications, patents, and presentations, highlighting our research achievements and discoveries
  • Work in a high paced team environment, meet deadlines, and prioritize work from multiple projects