Senior Data Scientist, Computational Genomics

About Ancestry :

When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry, the global leader in family history, empowers journeys of personal discovery to enrich lives.

With our unparalleled collection of more than 40 billion records, over 3 million subscribers and over 23 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 our 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 US locations ).

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's inclusive as well as diverse, and 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.

AncestryDNA is seeking a motivated and talented Senior Data Scientist, Computational Genomics to join our Bioinformatics organization.

You will be an individual contributor responsible for developing and implementing advanced machine learning models to analyze complex biological data.

Your work will directly impact our understanding of genetic variation and its implications that will enrich our customers’ lives.

What you’ll do :

Design, develop, and implement machine learning algorithms to analyze large-scale genomic datasets.

Collaborate with population geneticists, data scientists and engineers to identify and solve complex problems in computational biology.

Perform data manipulation, analysis, and modeling using Python.

Develop and deploy machine learning models using AWS SageMaker.

Design and implement ETL processes using AWS Glue.

Utilize AWS Athena for querying and analyzing data stored in Amazon S3.

Stream real-time data with AWS Kinesis Data Firehose.

Process and analyze large datasets using Amazon EMR.

Analyze and interpret biological data, focusing on DNA sequence data to uncover patterns and insights.

Stay current with the latest research and advancements in computational biology, machine learning, and genomics.

Communicate findings through reports, presentations, and publications.

Who you are :

Advanced degree ( preferred) in Computational Biology, Bioinformatics, Genetics, Computer Science, Machine Learning or a related field.

Extensive experience with machine learning techniques and data analysis in a biological context.

Advanced programming skills in Python and proficiency with Linux Bash; familiarity with C is a plus.

Strong foundations in AWS including SageMaker, Glue, Athena, Kinesis Data Firehouse and EMR

Deep understanding of genetics, genomics, and DNA sequence analysis.

Familiarity with bioinformatics tools and databases.

Knowledge of statistical methods and their application to biological data.

Strong communication skills and the ability to present complex data to a diverse audience.

Excellent problem-solving skills and the ability to work independently and collaboratively in a multidisciplinary team.

As a signatory of the ParityPledge in Support of Women and the ParityPledge in Support of People of Color, Ancestry values pay transparency and pay equity.

We are pleased to share the base salary range for this position : $140,280 to 175,350 with eligibility for bonus, equity and comprehensive benefits including health, dental and vision.

The actual salary will vary by geographic region and job experience. We will share detailed compensation data for a specific location during the recruiting process.

Read more about our benefits .

Note : Disclosure as required by sb19-085(8-5-20) and sb1162(1-1-23)

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