Consumer genomics β’ Family history β’ Artificial Intelligence β’ Machine Learning β’ Data Science
1001 - 5000 employees
Founded 1983
π₯ B2C
ποΈ eCommerce
π Social Impact
π° Post-IPO Equity on 2012-09
3 days ago
πΊπΈ United States β Remote
π΅ $114.2k - $130.6k / year
β° Full Time
π‘ Mid-level
π Senior
π Data Scientist
π¦ H1B Visa Sponsor
Consumer genomics β’ Family history β’ Artificial Intelligence β’ Machine Learning β’ Data Science
1001 - 5000 employees
Founded 1983
π₯ B2C
ποΈ eCommerce
π Social Impact
π° Post-IPO Equity on 2012-09
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
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
β’ Comprehensive benefits including health, dental, and vision β’ Bonus eligibility β’ Equity opportunities
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