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Computational Scientist III - Scientific Affairs - Hybrid SSF

Myriad Genetics
South San Francisco, United StatesRemotefull_timeVerifiedPosted 11 May 2026
💰 $2,147,483,647/yr

About the role

Computational Scientist III - Scientific Affairs - Hybrid SSF

Overview 

As a Computational Scientist III in Scientific Affairs, you will work at the interface of product development and evidence generation to advance the performance, clinical adoption, and patient access of Myriad’s products.  You will use your computational biology expertise, in collaboration with internal R&D and clinical teams, to carry out studies using Myriad’s Precise MRD, as well as other existing or nascent technologies/products.  Your focus on quality and innovation will be critical to Myriad’s successful partnerships with leading academic centers and biopharma companies and will help our products reach their full potential. 

Responsibility 

  1. Analyze data from research and biopharma studies, present results to internal stakeholders and to external partners, and ensure successful completion of the studies 

  1. Develop custom analysis algorithms and pipelines with good testing and documentation practices 

  1. Distill learnings from research and clinical data to identify areas of improvement in our assays, and as appropriate, actively implement those improvements 

  1. Author and review scientific manuscripts, abstracts, and conference presentations to communicate key findings and innovations from Myriad’s research efforts 

  1. Use technical expertise to stay current with advancements in genomics, bioinformatics, and oncology, ensuring Myriad remains at the forefront of diagnostic innovation 

Qualifications 

  1. PhD with 3+ years of industry experience in applying genomic technologies for clinical applications or product development  

  1. Proficient computational skills in Python and use of software-engineering best practices; familiarity with R for statistical analysis and data visualization is a plus 

  1. Demonstrated experience developing analysis methods, algorithms, and pipelines, particularly with next generation sequencing (NGS) data 

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Company

Myriad Genetics

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