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Position: Senior Scientist, Computational Biology
Institution: AbbVie Inc.
Location: South San Francisco, California, United States
Duties: Analysis; Interrogate large scale; omics data from both pre-clinical models and clinical samples in support of new therapeutic discoveries for the treatment of cancer; Build; through your own efforts or by working with software engineers to develop world-class bioinformatics capabilities (genomic databases and analytics software/pipelines) to support a dynamic oncology pipeline; Collaborative Design; you should find it inspiring to work with a wide variety of colleagues (e.g., biology, chemistry, business); understand their needs and then propose and build solutions; Presentation; use your strong computational and data visualization skills to bring together disparate data types in compelling visualization packages that provide end users with the ability to see both ‘the landscape’ and details leading to improved decision-making
Requirements: PhD. Degree in bioinformatics, computational biology, biostatistics, computer science, genetics, molecular biology or a related field; Master’s degree with typically 8 years of relevant experience; Bachelor’s degree with typically 10 years of relevant experience; Proficient in at least one general purpose programming/data science languages including but not limited to R, Python, Julia; Experience with common NGS data processing tools and statistical analysis; Experience in cancer genomics
   
Text: Senior Scientist, Computational Biology Analysis; Interrogate large scale; omics data from both pre-clinical models and clinical samples in support of new therapeutic discoveries for the treatment of cancer; Build; through your own efforts or by working with software engineers to develop world-class bioinformatics capabilities (genomic databases and analytics software/pipelines) to support a dynamic oncology pipeline; Collaborative Design; you should find it inspiring to work with a wide variety of colleagues (e.g., biology, chemistry, business); understand their needs and then propose and build solutions; Presentation; use your strong computational and data visualization skills to bring together disparate data types in compelling visualization packages that provide end users with the ability to see both ‘the landscape’ and details leading to improved decision-making PhD. Degree in bioinformatics, computational biology, biostatistics, computer science, genetics, molecular biology or a related field; Master’s degree with typically 8 years of relevant experience; Bachelor’s degree with typically 10 years of relevant experience; Proficient in at least one general purpose programming/data science languages including but not limited to R, Python, Julia; Experience with common NGS data processing tools and statistical analysis; Experience in cancer genomics
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