Senior Computational Scientist

Myriad Genetics•Salt Lake City, UT

3d•Hybrid

About The Position

The Sr Computational Scientist builds and maintains the underlying assays and analytical pipelines, working closely with molecular biologists and software engineers. Contributions include validating product updates, developing statistical analysis methods, and sharing methods in the form of simple re-usable software. Ready to transform the future of patient care through the power of genetics? For more than 30 years, Myriad Genetics has led the way in precision medicine by delivering important insights to help people make informed health decisions. As a leading molecular diagnostic testing and precision medicine company, we are dedicated to advancing health and well-being for all. Our innovative genetic tests are used across specialties including oncology, women’s health, and mental health, empowering clinicians to personalize treatment and help their patients take proactive steps toward better outcomes. What inspires us – and you – is simple: Every test, every insight, and every patient story emphasizes our commitment to improving lives through science, innovation, and care. you’re ready to help shape the future of medicine. Your work will have meaningful impact, and your dedication can change lives. Learn more at https://www.myriad.com and follow Myriad Genetics on LinkedIn.

Requirements

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 data sets (in the context of molecular biology and/or human genetics, a plus).
Experience leading multi-departmental projects and mentoring junior scientists and research associates.
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.
Applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder)

Nice To Haves

Experience with modern medical genetics data sets preferred.
Working knowledge of nucleic acid chemistry and genetics preferred.
A sense of humility coupled with deep compassion, impeccable integrity, and an eagerness to be part of a caring and supportive team.

Responsibilities

Make critical contributions to awesome products in a cutting-edge clinical genomics laboratory.
Use rigorous data science and modern software best practices to create efficient, reliable, and optimized bioinformatics pipelines.
Lead project teams that build, validate, and future-proof new products and product features.
Work closely with talent molecular biologists, 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.

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