Data Scientist - Computational Genomics

3 days ago

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Logo of Ancestry

Ancestry

Consumer genomics β€’ Family history β€’ Artificial Intelligence β€’ Machine Learning β€’ Data Science

1001 - 5000 employees

Founded 1983

πŸ‘₯ B2C

πŸ›οΈ eCommerce

🌍 Social Impact

πŸ’° Post-IPO Equity on 2012-09

Description

β€’ Design, develop, and implement machine learning algorithms to analyze large-scale genomic datasets β€’ Collaborate with population geneticists, data scientists and engineers to identify and solve complex problems in computational biology β€’ Perform data manipulation, analysis, and modeling using Python β€’ Develop and deploy machine learning models using AWS SageMaker β€’ Design and implement ETL processes using AWS Glue β€’ Utilize AWS Athena for querying and analyzing data stored in Amazon S3 β€’ Stream real-time data with AWS Kinesis Data Firehose β€’ Process and analyze large datasets using Amazon EMR β€’ Analyze and interpret biological data, focusing on DNA sequence data to uncover patterns and insights β€’ Stay current with the latest research and advancements in computational biology, machine learning, and genomics β€’ Communicate findings through reports, presentations, and publications

Requirements

β€’ Advanced degree (Ph.D. preferred) in Computational Biology, Bioinformatics, Genetics, Computer Science, Machine Learning or a related field β€’ Extensive experience with machine learning techniques and data analysis in a biological context β€’ Advanced programming skills in Python and proficiency with Linux Bash; familiarity with C is a plus β€’ Strong foundations in AWS including SageMaker, Glue, Athena, Kinesis Data Firehose and EMR β€’ Deep understanding of genetics, genomics, and DNA sequence analysis β€’ Familiarity with bioinformatics tools and databases β€’ Knowledge of statistical methods and their application to biological data β€’ Strong communication skills and the ability to present complex data to a diverse audience β€’ Excellent problem-solving skills and the ability to work independently and collaboratively in a multidisciplinary team

Benefits

β€’ Comprehensive benefits including health, dental, and vision β€’ Bonus eligibility β€’ Equity opportunities

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