Sr Computational Scientist
Myriad GeneticsAbout the role
Senior Computational Scientist - REMOTE (USA)
As a Senior Computational Scientist 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, particularly Precise MRD. You will use your computational biology expertise, in collaboration with internal R&D and clinical teams, to carry out studies on existing or nascent Myriad 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
Analyze data from research and clinical studies, present results to internal stakeholders and to external partners, and ensure successful completion of the studies
Author and review scientific manuscripts, abstracts, and conference presentations to communicate key findings and innovations from Myriad’s research efforts, often in direct collaboration with partners in academia, pharma, and community medicine
Partner with clinical development and biopharma teams to initiate MRD partnerships and prioritize opportunities for the business
Distill learnings from research and clinical data to identify areas of improvement in our assays, and as appropriate, actively implement those improvements
Mentor junior scientists and research associates, guiding the overall path and success of key projects
Use expertise in genomics and oncology to help guide Myriad’s strategy for MRD product development and clinical applications
Qualifications
PhD with 4+ years of industry experience in applying genomic technologies for clinical applications or product development
Strong computational skills in Python or R for data analysis and presentation
Track record of scientific communication, such as through peer-reviewed publications and presenting at national conferences
Experience developing analysis methods, algorithms, and pipelines, particularly with next generation sequencing (NGS) data
Working knowledge of nucleic acid chemistry and genetics
Preferred experience in R&D with
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