Biostatistician/Bioinformatician/Clinical Epidemiologist - Research Associate Professor SMS-3678

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 40%
* 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 40%
* 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
Demonstrates, by actions, commitment to the mission and the behavioral standards of SIU
School of Medicine. Provides excellent service to both internal and external customers through
collaboration and partnership; compassion and respect; integrity and accountability; diversity and
inclusion; as well as continuous learning and improvement.

MINIMUM QUALIFICATIONS
* 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).
DESIRED QUALIFICATIONS
* Two-years post-doctoral training appropriate to their area of specialization
* Experience working on NIH funded grants such as R21, R03 or R01.
* Record of methodological and statistical contributions to peer-reviewed articles.
* Experience with relational database development, management, and querying using SQL
or similar tools.
* Proficient in machine learning, Bayesian statistics, predictive modeling and at least one
computer language (Python, PHP)
* Experience with state of the art methods for analyzing big data is highly desirable.
* Above average to excellent verbal and written communication skills.
* A proven track record of working effectively on teams inclusive of diverse individuals
with varying research experience and backgrounds.

The budgeted annual salary range is $110,000 to $122,100. The final salary offered will be determined by a thorough assessment of available market data, internal salary equity, candidate experience and qualifications, and budget constraints. Additional incentive compensation may also be available for clinical work performed beyond the standard scope of responsibilities.

If you require assistance, please contact the Office of Human Resources at hrrecruitment@siumed.edu or call 217-545-0223 Monday through Friday, 8:00am-4:30pm.

The mission of Southern Illinois University School of Medicine is to optimize the health of the people of central and southern Illinois through education, patient care, research and service to the community.

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Southern Illinois University School of Medicine is an Affirmative Action/Equal Opportunity employer who provides equal employment and educational opportunities for all qualified persons without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, protected veteran status or marital status in accordance with local, state and federal law.

Pre-employment background screenings required.