-Develop pipelines for the identification of genetic variant identification, analysis, and classification from next generation sequencing and clinical data.
-Collaborate with scientists, and clinicians to design and perform analyses on clinical sequencing data in order to improve quality of care.
-Develop algorithms pipelines to gain insight into genetic variation clinical impact through analysis and to enable and clinical diagnostics products.
-Communicate results and status with product and bioinformatics leadership.
-Produce high quality and detailed documentation for all projects.
-PhD in Computational Biology, Quantitative Genetics, Computer Science, Applied Mathematics, Genomics, Molecular Biology or related areas, or equivalent experience.
-Minimum of 3+ years of professional/postdoc experience, preferably in industry.
-Computational skills using Python (strongly preferred), Java, C/C++ or other programming languages, and databases (SQL).
-Hands-on development of bioinformatics analysis pipelines and workflow engines (e.g. SnakeMake, Nexflow).
-Experience in data analysis techniques and tools (e.g. R, SAS, Python notebooks, etc.).
-Good understanding of life sciences domain and omics technologies.
Ideal Candidates Will Possess
-Experience in quantitative genetics and/or human genomics.
-Experience with analyzing and processing next-generation sequencing data.
-Experience with communicating insights and presenting concepts to a diverse audience.
-Experience in implementing and parallelizing pipelines in cloud computing environments.
-Experience in utilizing large scale public or proprietary genomics and human genetics databases.
-Self-driven and works well in interdisciplinary teams.
-Track record of publications in related domains is a plus.
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