Graduate Research Co-op, Population Genetics​/Genomic Data Science

About Ancestry

When you join Ancestry, you join a human‑centered company where every person’s story is important. Ancestry® is the global leader in family history, connecting everyone with their past so they can discover, preserve, and share their unique family stories. With an unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives.

Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families.

We are committed to a location‑flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office – see the full list of eligible U.S. locations here). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.

Together, we work every day to foster a work environment that is inclusive as well as diverse, where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve.

Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious.

We are looking for candidates with strong experience in genomic data analysis and enthusiasm for 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!

This is a part‑time, work‑study focused position for 6 months intended for active master’s and Ph.D. students.

• 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 toward 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.

• Currently enrolled in a graduate program (Ph.D. preferred, or M.S.) in population genetics, genomic data science, or machine learning with an interest in applying it to genomics.
• Experience in applying computational and statistical methods to genomic datasets; experience with modern AI methods is a plus.
• 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.

Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry,…