Research & Science
Scientist, Machine Learning and Computational Biology (Chicago, IL)
Chicago, Illinois, United States
23andMe is seeking exceptional researchers with backgrounds in machine learning, statistics, physics, applied mathematics, and / or computational biology.
Successful candidates will have a passion for independent research and technical problem-solving, as well as a demonstrated ability to develop and implement research-based ideas
Who We Are
Since 2006, 23andMe’s mission has been to help people access, understand, and benefit from the human genome. We are a group of passionate individuals pushing the boundaries of what’s possible to help turn genetic insight into better health and personal understanding.
With the world’s largest database of more than fifteen million genotyped customers, 23andMe is at the forefront of using human genetics to advance biomedical research and transform healthcare.
What You’ll Do
In this role, you will design and develop new algorithms and analysis tools that combine genetic variation information with other molecular, cellular, and phenotypic data.
You will be implementing, extending, and debugging cutting-edge machine learning models, as well as designing and building robust data infrastructure and tools.
You will also collaborate to complete complex projects and present findings to other 23andMe scientific teams as well as the broader scientific community.
Ideal candidates will have demonstrated expertise in developing deep learning techniques and applying them to biological and healthcare data.
Relevant areas of experience could include language / sequence modeling, graph embeddings, representation learning, generative models, and self-supervised learning techniques.
However, specific domain knowledge in any of these areas is less important than genuine intellectual curiosity, strong research skills, and a track record of scientific innovation and achievement.
What You’ll Bring
- Ph.D. in the physical or life sciences (e.g. Chemistry, Biology, Physics), or quantitative field (e.g. Computer Science, Statistics, Mathematics)
- Deep understanding of computational biology, statistical genetics, and / or machine learning
- A track record of academic or industrial accomplishments, including the development of novel methods and analytical approaches for large-scale data analysis
- Strong R or Python skills, and experience with Python-based machine learning libraries (Pytorch, TensorFlow, etc)
- Experience developing methods utilizing modern neural network architectures, including Transformer, Graph Convolutional, and Diffusion models.
- Exceptional communication skills, with an ability to convey complex technical concepts and scientific insights to diverse audiences
- Ability to work in a dynamic team-oriented environment
- Experience conducting research with EHR data is a plus
- Experience with disease areas such as metabolic diseases, immune diseases, or oncology is a plus
This role can be based remotely from Chicago, IL.
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