
B2C • eCommerce • Social Impact
Ancestry is a human-centered company focused on empowering personal discovery journeys to enrich their customers' lives. It is committed to helping people discover, craft, and connect with their family history through innovative tools and experiences. Ancestry is driven by values of customer obsession, relentless pioneering, and mutual empowerment, fostering an inclusive and transparent community. With a focus on diversity, equity, and inclusion, Ancestry aims to create a true sense of belonging for all its employees and customers. The company offers a variety of global career opportunities, benefits, and programs designed to support a balanced, fulfilling work and personal life experience.
July 3

B2C • eCommerce • Social Impact
Ancestry is a human-centered company focused on empowering personal discovery journeys to enrich their customers' lives. It is committed to helping people discover, craft, and connect with their family history through innovative tools and experiences. Ancestry is driven by values of customer obsession, relentless pioneering, and mutual empowerment, fostering an inclusive and transparent community. With a focus on diversity, equity, and inclusion, Ancestry aims to create a true sense of belonging for all its employees and customers. The company offers a variety of global career opportunities, benefits, and programs designed to support a balanced, fulfilling work and personal life experience.
• Collaborate with scientists to understand requirements and assist in the design, implementation, and maintenance of bioinformatics workflows and tools for analyzing large datasets. • Automate existing science processes and collaborate with stakeholders to transition research and machine learning software into production environments. • Work closely with other Bioinformatics engineers to support the building and maintenance of the scalable cloud environment used by Ancestry’s DNA Science team. • Assist in managing AWS infrastructure to support scalable bioinformatics pipelines and advanced scientific computing workloads. • Apply coding and software best practices to improve software quality. • Participate in the enhancement of legacy codebases to improve efficiency, performance and maintainability.
• A Bachelor’s or Master’s degree in Bioinformatics, Computer Science, or related field with 1- 3 years of relevant industry experience, or equivalent combination of education and experience • Demonstrated experience in building bioinformatics pipelines, ideally for analyzing large datasets. • Proficiency in Python and a willingness to learn other relevant programming languages (e.g., Rust, C++). • Exposure to cloud computing concepts (preferably AWS), with an interest in learning infrastructure management tools like AWS Batch and Parallel Cluster. • Understanding of basic principles for deploying pipelines in cloud environments (e.g., AWS, GCP, Azure). • Familiarity with workflow orchestration tools like Nextflow or Snakemake. • Experience using Conda for managing packages and environments. • Experience with Git for version control. • Exposure to or interest in CI/CD concepts is a plus. • Basic understanding of infrastructure-as-code concepts and an interest in learning tools like Terraform or AWS CloudFormation. • Excellent communication and interpersonal skills. • Ability to work effectively both independently and as part of a team.
• bonus • equity • health • dental • vision
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