University of Pittsburgh · 1 day ago
Research Data Scientist
The University of Pittsburgh is an equal opportunity employer, and they are seeking a Research Data Scientist. The role involves providing expertise in data methodologies and analysis, collaborating on study designs, and leading the development of analytical plans while applying machine learning methods to complex data sets.
Higher Education
Responsibilities
Provides subject matter expertise in data manipulation, statistical data methodologies, data analysis, and development of new data science methods
Collaborates with principal investigators or study sponsors on high-level study design, data collection, data set analysis, protocol development, statistical analysis and inference, and report writing and presentations for internal and external audience
Leads development of complex analytical plans, creates systems for data monitoring, provides high-level statistical support, utilizes statistical software, creates research study reports, and contributes to manuscripts, grants, and scientific presentations
Adheres to all protocols
The individual will develop and apply innovative machine learning methods for analyzing genetic, transcriptomic, proteomic, metabolomic, and clinical data from epidemiological cohorts, collaborate with a multidisciplinary team of researchers to investigate complex biological and epidemiological questions, and write up the research findings for publication in top-tier scientific journals and conferences
Qualification
Required
Provides subject matter expertise in data manipulation, statistical data methodologies, data analysis, and development of new data science methods
Collaborates with principal investigators or study sponsors on high-level study design, data collection, data set analysis, protocol development, statistical analysis and inference, and report writing and presentations for internal and external audience
Leads development of complex analytical plans, creates systems for data monitoring, provides high-level statistical support, utilizes statistical software, creates research study reports, and contributes to manuscripts, grants, and scientific presentations
Adheres to all protocols
Develop and apply innovative machine learning methods for analyzing genetic, transcriptomic, proteomic, metabolomic, and clinical data from epidemiological cohorts
Collaborate with a multidisciplinary team of researchers to investigate complex biological and epidemiological questions
Write up the research findings for publication in top-tier scientific journals and conferences
Minimum Education Level Required: Master's Degree
Minimum Years Of Experience Required: 9
Combination of education and relevant experience will be considered in lieu of education and/or experience requirement
Required Documents: Resume, Cover Letter
Company
University of Pittsburgh
The University of Pittsburgh is a top-ranked, public institution in Pennsylvania and a member of the Association of American Universities of leading research universities.
Funding
Current Stage
Late StageLeadership Team
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