What if the work you did every day could impact the lives of people you know? Or all of humanity?At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.Position Summary:The Bioinformatics & DRAGEN HW SW department at Illumina is looking for a bioinformatics scientist with strong technical depth in genetic and epigenetic data analysis, probe design for microarray or enrichment assays, algorithm design, statistical modeling and software development to contribute to analysis software development and enable precision medicine. Members of the team work in close collaboration with wet lab scientists to develop new assay and computational workflows. The team is responsible for defining and creating software and workflows that enable efficient analysis of genetic data, integrating community tools as well as developing novel methods and best-in-class algorithms/pipelines to be deployed both locally and on Illumina’s cloud computing environment. The ideal candidate will be able to work in a cross functional team, translating the challenges faced by the group into bioinformatics solutions. The position requires a strong background in data analysis, bioinformatics pipeline development design, software development, and statistics.Target areas: microarray, methylation, probe design, analysis pipeline, python and R scripting, algorithm development, software developmentResponsibilities:Develop internal and customer facing tools for probe design and data analysis of various data types and platforms (Array and NGS), with a focus on DNA methylation and epigenetics.Apply statistical/computational methods to analyze large-scale genetic and epigenetic data, such as DNA sequencing, genotyping, gene expression, copy-number, methylation, etc. in a fast-paced product development environment.Design and develop software to address novel analytical challenges and to automate established analysis so that thousands of studies can be analyzed in a robust manner.Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.Required Skills and Experience:PhD in Computer Science, Bioinformatics, Computational Biology, Biostatistics, Bioengineering or a related field plus 1-3 years of post-doctoral research or industry experienceExperience with probe or primer designsExperience with DNA methylation and epigenetics assays and data analysisExperience with both Array and NGS technologies, tools, and data analysisDeep understanding & practical applications of statistics and bioinformatics algorithms; experience in algorithm development, combinatorial optimization, software development, statistical modeling, and machine learning is a plusCritical problem solving and data analysis skillsProgramming experience with Python and/or R; proficiency in C#, C, C++, and/or Java is a plusSuperior written and verbal communication skillsAll listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities.Illumina believes that everyone has the ability to make an impact, and we are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information.
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