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Position: Senior Bioinformatics Scientist, Prenatal
Institution: BillionToOne
Location: Menlo Park, California, United States
Duties: Analyze and troubleshoot day-to-day operations for clinical NGS data analysis; Analyze our assay performance and contribute to publications that demonstrate the clinical validity and utility of our tests; Design new quality metrics and processes for clinical molecular diagnostic assays; Collaborate and build microservice solutions with 10+ other clinically-oriented teams at BillionToOne; Support the development of sophisticated and robust NGS analysis pipelines capable of processing tens of thousands of samples; Communicate assay performance and capabilities to clinical personnel at weekly meetings and to external stakeholders, clinicians, and scientists
Requirements: PhD in Bioinformatics, Computational Biology, Computer Science, Bioengineering, Physics or related field; 3-5 years of biology or bioinformatics research experience (during PhD or afterwards); 2-3 years of experience analyzing NGS data (during PhD or afterwards); Expertise in Python; Familiarity with R, or other programming languages used for data visualization; Experience using data structures and industry tools, (GitHub, AWS, Heroku, PostgreSQL)
   
Text: Senior Bioinformatics Scientist, Prenatal Analyze and troubleshoot day-to-day operations for clinical NGS data analysis; Analyze our assay performance and contribute to publications that demonstrate the clinical validity and utility of our tests; Design new quality metrics and processes for clinical molecular diagnostic assays; Collaborate and build microservice solutions with 10+ other clinically-oriented teams at BillionToOne; Support the development of sophisticated and robust NGS analysis pipelines capable of processing tens of thousands of samples; Communicate assay performance and capabilities to clinical personnel at weekly meetings and to external stakeholders, clinicians, and scientists PhD in Bioinformatics, Computational Biology, Computer Science, Bioengineering, Physics or related field; 3-5 years of biology or bioinformatics research experience (during PhD or afterwards); 2-3 years of experience analyzing NGS data (during PhD or afterwards); Expertise in Python; Familiarity with R, or other programming languages used for data visualization; Experience using data structures and industry tools, (GitHub, AWS, Heroku, PostgreSQL)
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