Role Description
Participate in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and application of algorithms, methods, and software for data analysis.
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Lead the development, evaluation, and application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
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Present and communicate scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
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Create database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
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Create sustainable data science infrastructure and adhere to data analysis/machine learning best practices.
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Perform data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
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Lead discussions with senior and lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
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Test and validate code to ensure robustness of data applications with version control through GitHub.
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Telecommuting permitted pursuant to company policy.
Qualifications
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Bachelorβs degree or foreign equivalent in Computer Science, Machine Learning, Applied Mathematics, or related field.
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Two (2) years of experience as a Research Data Scientist, Associate Programmer Analyst, or related occupation.
Requirements
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Experience working with biomedical data in healthcare or pharmaceutical industries.
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Experience with evolutionary computing: genetic algorithm and genetic programming.
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Experience with automated machine learning analysis methods: the tree-based pipeline optimization tool.
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Experience working with biomedical knowledge graphs.
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Experience with peer-reviewed publications.
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Experience working with both clinical data and genetics data.
Benefits
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Salary: $94,800 - $161,000 per year.
To Apply
Any interested applicant may click on the APPLY NOW button above to apply for this position.
Req ID
16436