Biological Data Scientist
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Job Category:
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Academic Staff
Employment Type:
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Regular
Job Profile:
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Data Scientist I
Job Summary:
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We are seeking to hire an experienced research data analyst to support a research program focused on the epidemiology of vascular contributions to cognitive impairment and dementia, led by Dr. Michelle Caunca in the Department of Neurology. The research analyst will be responsible for managing, coordinating, and transforming multiple longitudinal cohort studies. This Data Scientist will support projects focused on biological drivers of vascular contributions to cognitive impairment and dementia, including neuroimaging and blood-based biomarkers.
The analyst will be responsible for developing data management systems and code for merging, harmonizing, and analyzing data that is highly complex in nature. The data in question are complex, longitudinal, and multi-level, including data derived from surveys, laboratory assays, neuroimaging, geocoding, event data, and administrative linkages. The ideal candidate has experience and background in prediction modeling, machine learning, and high-dimensional data analysis.
The position involves managing, analyzing, and interpreting research data from complex cohort studies in R and/or STATA and/or SAS. The successful candidate will have the capacity to manage to optimize reproducibility (including creation of codebooks and reproducible code that can be published), analyze data according to established statistical methods, oversee the work of students and fellow staff (e.g. who may be conducting or interpreting analyses), and develop recommendations based on research findings. The successful candidate will also participate in the preparation of independent and collaborative manuscripts, presentations at academic conferences and to key stakeholders (e.g. community organizations), and in designing analytic plans for future studies.
- This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.
- Applicants for this position will be considered for the following titles: Data Scientist I, II, or III. The title is determined by the experience and qualifications of the finalist.
Key Job Responsibilities:
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- Implements appropriate data science techniques under the guidance of other data scientists, statisticians, and/or other researchers to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
- Documents approaches to address research questions
- Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, a...
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