Analyze Ancestry’s massive-scale genomic datasets to uncover deep insights into population structure, demographic history, and fine-scale genetic relationship inference
Develop novel statistical models and computational methods, leveraging advanced Machine Learning and Deep Learning to solve complex genomic challenges
Conduct exploratory research while maintaining a focus on demonstrating progress, identifying clear next steps, and moving toward concrete milestones
Aim to publish original research in high-impact scientific journals and present your findings at top-tier conferences
Collaborate with other scientists to explore opportunities to integrate your research outcomes into the Ancestry DNA product ecosystem to benefit millions of customers
Requirements
Ph.D. in Population Genetics, or Genomic Data Science, or Machine Learning (with experience applying it to genomic data)
Demonstrated expertise in applying and developing sophisticated computational methods
Experience with modern AI methods is a plus
High proficiency in Python, C, or any other language that supports efficient, large-scale data analysis and machine learning
A mindset for critical thinking and innovation, with a demonstrated ability to show results and progress while in an exploratory mode
Strong communication skills to present complex genomics and statistical concepts to both technical and non-technical audiences