Computational Scientist III

Myriad Genetics • South San Francisco, CA

1d

About The Position

The Computational Scientist III is member of the research team and contributes to design, development, maintenance, and validation of molecular assays and analytical pipelines working closely with molecular biologists, lab directors and software engineers.
Responsibility
Make critical contributions to wide range of products in a cutting-edge clinical genomics laboratory.
Use rigorous data science and modern software best practices to create efficient, reliable, and optimized bioinformatics tools.
Work closely with molecular biologists, clinical scientists, software engineers, automation engineers, and data scientists.
Characterize data resulting from novel molecular assays and guide molecular protocol development from a statistical perspective.
Mentor junior scientists and research associates, guiding the overall path and success of key projects.
Author posters and publications demonstrating the scientific prowess of our products and algorithms that power the products.
Work with legal staff to secure intellectual property rights for inventions pertaining to our products.
Communicate results to stakeholders across the organization.

Requirements

• PhD in Computational Biology, Statistics, Molecular Biology, Genetics, Computer Science, Systems Biology, Biophysics, Physics, or a related discipline.
• 3+ years of experience developing methods to analyze large, noisy real-world data sets (in the context of molecular biology and/or human genetics, a plus).
• Experience developing custom analysis methods and algorithms and analysis pipelines.
• Experience working with CLIA-validated assays and authoring CLIA validation plans, Illumina Next Generation Sequencing (NGS), and other sequencing platforms.
• Strong computation skills, fluency in Python and a workflow definition language, and knowledge of software engineering best practices.
• Multiple peer-reviewed publications.
• A sense of humility coupled with deep compassion, impeccable integrity, and an eagerness to be part of a caring and supportive team.

Nice To Haves

• Experience with modern medical genetics data sets preferred.
• Working knowledge of nucleic acid chemistry and genetics preferred.

Responsibilities

• Make critical contributions to wide range of products in a cutting-edge clinical genomics laboratory.
• Use rigorous data science and modern software best practices to create efficient, reliable, and optimized bioinformatics tools.
• Work closely with molecular biologists, clinical scientists, software engineers, automation engineers, and data scientists.
• Characterize data resulting from novel molecular assays and guide molecular protocol development from a statistical perspective.
• Mentor junior scientists and research associates, guiding the overall path and success of key projects.
• Author posters and publications demonstrating the scientific prowess of our products and algorithms that power the products.
• Work with legal staff to secure intellectual property rights for inventions pertaining to our products.
• Communicate results to stakeholders across the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees