Graduate Research Co-op, Population Genetics/Genomic Data Science
About The Position
Ancestry is seeking candidates with strong experience in genomic data analysis and enthusiasm in human populations and/or family history. Through regular mentorship from our scientists, you will gain valuable research experience for the next step in your career. You will have the opportunity to apply cutting edge computational and statistical approaches to the largest database of human genome and pedigree data in the world. You will develop methods to help millions of people understand their ancestry, their family, and themselves. Help us make an impact in this exciting field! Join the DNA Science team as a Co-op and conduct innovative research on the world’s largest genomic and pedigree database to further our knowledge on human populations and family history. This is a part-time, work-study focused position for 6 months intended for active master's and Ph.D. students.
Requirements
- Currently enrolled in a Graduate program (Ph.D. preferred, or MS) in Population Genetics, or Genomic Data Science, or Machine Learning with an interest in applying it to genomics.
- Experience in applying computational and statistical methods to genomic datasets.
- Strong programming skills in Python or other languages that support efficient, large-scale data analysis and machine learning.
- A mindset for critical thinking and innovation and the ability to demonstrate progress on exploratory tasks.
- Ability to work up to 50% of your time at Ancestry while successfully balancing your graduate studies.
- Good communication skills and a desire to learn how to present complex genomics and statistical concepts to various audiences.
Nice To Haves
- Experience with modern AI methods is a plus.
Responsibilities
- Assist in analyzing Ancestry’s massive-scale genomic datasets to help uncover deep insights into population structure, demographic history, and fine-scale genetic relationship inference.
- Apply and/or develop novel statistical models and computational methods, including Machine Learning and Deep Learning approaches, to solve complex genomics challenges.
- Engage in exploratory research, learning to navigate complex research while maintaining a focus on identifying next steps and demonstrating progress towards research milestones.
- Contribute to work that will be published in scientific journals and present at conferences.
- Collaborate with our research team to explore how your work can contribute to the Ancestry DNA product ecosystem and the broader scientific community.
Benefits
- Mentorship from scientists
- Valuable research experience
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
Number of Employees
501-1,000 employees
