Develop and execute new and/or highly complex algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work. Attend weekly team meetings to discuss team and project-related activities, issues, change, communications, and updates.

Required Skill/ability 1:  Strong skills in data analysis, statistics, and data visualization.

Required Skill/ability 2:  Strong demonstrated experience with R and/or other statistical software.

Required Skill/ability 3:  Demonstrated experience in infectious disease-related research and education.

Required Skill/ability 4:  Demonstrated experience working with federally-funded projects, including data management.

Required Skill/ability 5:  Exceptional interpersonal, presentation, and communication skills (written and oral).

Preferred Education:  PhD preferred.

Work Week:  Standard (M-F equal number of hours per day)

Posting Position Title:  Data Scientist 1

University Job Title:  Data Scientist

Preferred Education, Experience and Skills:  PhD preferred.

Master's Degree in computer science, applied/computational mathematics, engineering, biostatistics, statistics, or a quantitative field such as astronomy or geology, economics, health policy, health services research, public policy, or a related field and two years of demonstrated experience or an equivalent combination of education and demonstrated experience.

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