Senior Computational Scientist

Senior Computational Scientist at Myriad Genetics

As a Senior Computational Scientist at Myriad Genetics, you will play a pivotal role in building and maintaining the foundational assays and analytical pipelines. This involves close collaboration with molecular biologists and software engineers to validate product updates, develop advanced statistical analysis methods, and distill these methods into simple, reusable software solutions. This hybrid role is based in South San Francisco.

Responsibilities

• Make critical contributions to innovative products within a cutting-edge clinical genomics laboratory.
• Utilize rigorous data science and modern software engineering best practices to create efficient, reliable, and optimized bioinformatics pipelines.
• Lead project teams through the development, validation, and future-proofing of new products and features.
• Collaborate closely with talented molecular biologists, software engineers, automation engineers, and data scientists.
• Characterize data derived from novel molecular assays and provide statistical guidance for molecular protocol development.
• Mentor junior scientists and research associates, contributing to their growth and the overall success of key projects.
• Author posters and peer-reviewed publications showcasing the scientific excellence of our products and their underlying algorithms.
• Work with legal staff to secure intellectual property rights related to product inventions.
• Effectively communicate project results and insights to stakeholders across the organization.

Qualifications

• PhD in Computational Biology, Statistics, Molecular Biology, Genetics, Computer Science, Systems Biology, Biophysics, Physics, or a related discipline.
• 5+ years of experience developing methods to analyze large, noisy real-world datasets, with a preference for experience in molecular biology and/or human genetics.
• Demonstrated experience leading multi-departmental projects and mentoring junior scientists and research associates.
• Proven ability to develop custom analysis methods, algorithms, and robust analysis pipelines.
• Experience working with CLIA-validated assays, authoring CLIA validation plans, and expertise with Illumina Next Generation Sequencing (NGS) and other sequencing platforms.
• Strong computational skills, fluency in Python, proficiency with a workflow definition language, and knowledge of software engineering best practices.
• Multiple peer-reviewed publications.
• Preferred experience with modern medical genetics datasets.
• Working knowledge of nucleic acid chemistry and genetics is preferred.
• Possess humility coupled with deep compassion, impeccable integrity, and an eagerness to be part of a caring and supportive team.

Key skills/competency

• Computational Biology
• Bioinformatics
• Clinical Genomics
• Next Generation Sequencing (NGS)
• Python
• Statistical Analysis
• Data Science
• Molecular Biology
• Algorithm Development
• Software Engineering