This Department of Population Science and Policy based position will provide expertise in database creation and maintenance, computer and statistical programming, study design and advanced statistical methodologies for population science-based research and programs at SIU School of Medicine. Biostatistical/Bioinformatic support is needed within the Population Science and Policy Data Analytics Unit with a focus on quantitative, epidemiologic and outcomes research at clinical and population scales, including big data analysis. Major areas of focus include: 1) acquisition, mastery and analysis of the state of Illinois Medicaid database, 2) acquisition and analysis of other large publicly available databases (eg, NHANES, BRFSS, etc.), 3) the creation of a data warehouse from the SIU electronic health records, 4) undertaking advanced analyses of the ambulatory clinic data in the SIU data warehouse, 5) obtaining service agreements to undertake well-defined analyses of various datasets, and 6) supporting and/or leading the development of grants to be submitted for extramural funding. The Data Analytics Unit within PSP conducts high quality scholarly work and supports PSP and SIUSOM mission areas to advance health in the region. Activities broadly include facilitation of data acquisition using novel data streams and integration across scales as well as quantitative research with large existing datasets related to better understanding and/or improving rural/small town health. Accordingly, this position requires strong quantitative skills and demonstrated ability to acquire, prepare and expertly analyze very large datasets with state-of-the-art statistical methodologies. Also, a demonstrated proficiency in synthesizing analyses and communicating results to the scientific community and community stakeholders will be needed. The ability to work effectively on a team of other professionals and staff to accomplish these goals is an absolute imperative.I. Administration 5%
? Assists the Chair and Vice Chair of the Department of Population Science and Policy with research program development and administration, research strategic planning and implementation.
? Participates in staff and specific research project team meetings as appropriate
II. Research/Scholarly Activity 30%
? Contributes unique scientific and research expertise to other faculty research as appropriate.
? Submits and obtains research grants as the lead or primary investigator as well as a collaborating or co-investigator
? Submits and publishes peer reviewed data and other authoritative works as first author as well as with other faculty and trainee collaborators.
? Develops protocols and proposals for study methodology and data analyses. Additionally, writes the interpretation of data findings in the context of ongoing research objectives.
? Provides knowledge and insight for new study ideas and long-term goals and objectives relevant to PSP initiatives.
? Reviews and remains current with technical and scientific literature in epidemiology and study outcomes of interest.
? Cultivate and develop strong collaborations within as well as outside of the PSP Department both at as well as beyond the SIU campus
 III. Teaching 15%
? Mentors and instructs other personnel (i.e., faculty researchers, technicians, residents, medical students, nurses, data entry personnel, statisticians, etc.) in public and population health and/or research methods.
? Periodically deliver educational conferences at the PSP Grand Rounds series.
? Identifies new material, faculty, and facilities in order to teach statistical and epidemiological topics to students or staff as appropriate.
? Provide high-level teaching to the nascent Master of Science in Population Science degree program
? Provide teaching of research methodology and population sciences to trainees, likely from multiple disciplines, in venues beyond the Master of Science in Population Science degree program
IV. Service 50%
? Participate in departmental, medical school, and university as well as professional organization and community partner committees
? Performs and helps interpret statistical analyses using SAS, SPSS, Stata, or R including logistic regression, general linear models with repeated measures, survival analyses, and other statistical techniques for longitudinal and missing data.
? Provides specialized expertise in management, manipulation and analysis of large and complex registries and other population-based databases to facilitate their utility in the conduct of research.
? Contributes unique scientific and research expertise to faculty and trainee research as appropriate. ? Provides biostatistical and bioinformatics support for study design, implementation, and analyses of population science-based investigations, studies, or screening programs
? Provides support for on-going efforts to leverage electronic health record data in research through data warehousing and integration with other data sources (e.g., census data).
Merges numerous, large data files to compile comprehensive datasets for studies according to study methodology.
? Validates the relevance of data and information sources within and outside the public health system.
? Offer opportunities for trainees to collaborate with our team on research projects that we have prioritized
? Lead or participate in the development of white papers emanating from our analyses of large data-sets

 ? Ph.D. in biostatistics, bioinformatics, epidemiology, health services research, or related field or M.D./D.O./D.N.P. combined with at least a master's in biostatistics, epidemiology, bioinformatics, computer science or health services research. ? Sensitive to the needs of underrepresented minority and rural/small town populations.
 ? Proficient in multiple methodological areas, including data imputation, cumulative and Cox hazards modeling, survival analysis, structural equation modeling, linear mixed models, generalized estimating equations, the development and validation of prediction models, and non-parametric methodologies.
? Demonstrable experience in state-of-the-art approaches to data acquisition and analysis of longitudinal clinical datasets as well as large public use epidemiological datasets such as NHANES.
 ? Demonstrated competence with syntax and programming in at least one statistical software (e.g., SAS, STATA, R, SPSS)

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