
1001 - 5000 employees
Founded 1983
👥 B2C
🛍️ eCommerce
B2C • eCommerce
Ancestry is a consumer-focused family history company that helps people discover, preserve, and share their family stories through online genealogy tools, historical records, and consumer DNA testing. The company operates a subscription-based platform and eCommerce offerings (such as DNA kits), maintains a large consumer DNA database, and combines technology, data science, and content to power personal discovery and research. Ancestry emphasizes customer experience, diversity and inclusion, and employs global teams across product, engineering, marketing, and science-related roles.
🕒 April 23
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1001 - 5000 employees
Founded 1983
👥 B2C
🛍️ eCommerce
B2C • eCommerce
Ancestry is a consumer-focused family history company that helps people discover, preserve, and share their family stories through online genealogy tools, historical records, and consumer DNA testing. The company operates a subscription-based platform and eCommerce offerings (such as DNA kits), maintains a large consumer DNA database, and combines technology, data science, and content to power personal discovery and research. Ancestry emphasizes customer experience, diversity and inclusion, and employs global teams across product, engineering, marketing, and science-related roles.
• 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
• 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
• location flexible work approach • regular mentorship from scientists
Apply Now🕒 April 21
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