Research - Laboratory/Non-Laboratory, Staff/Administrative
Location: Hyde Park Campus
1) Staff Scientist will develop and implement programs to promote agent-based modeling and predictive analytics and contribute to the scientific direction of the center. 2) The candidate will work under the direction of Dr. John Schneider for the Methodology and Advanced Analytics Resource Center (MAARC) for the NIDA-funded Justice Community Opioid Innovation Network (JCOIN).
3) They will work closely with Dr. Jessica Ridgway in Clinical Informatics and receive support from senior scientists at Argonne National Laboratory.
4) Serve as a resource for assessing data and developing computational models.
5) Facilitate and promote a research project by providing scientific or intellectual information.
6) Develop dry lab protocols and training on new techniques. Manage, analyze and make recommendations on complex data sets for research.
7) Create first drafts for scientific writing and publications, including protocols and grants.
8) Train and mentor laboratory personnel.
9) Perform other related work as needed.
10) Focus on analysis of network data and network modeling, predictive analytics, machine learning and agent-based modeling.
11) Collaborates with other researchers within and outside the CCHE as appropriate.
12) Develops and maintains collaborative research projects with academic and community based organizations.
13) Provides expertise on epidemiologic and statistical methods; contributes critical methodological evaluation of proposed research design and suggests design improvements.
14) Participates in the preparation and writing of grant applications and reports, and co-authors/authors scientific research manuscripts.
15) Supervises and mentors junior statisticians/data analysts, programmers, data managers and other research staff.
16) Presents work at scientific meetings, and provides peer review of grant applications and scientific manuscripts.
1) Knowledge in relevant scientific field.
2) Knowledge of research techniques or methods.
3) Knowledge of regulatory policies and procedures.
4) Analytical skills.
5) Problem-solving skills.
6) Attention to detail.
7) Organization skills.
8) Verbal and written communication skills.
9) Ability to work independently and as part of a team.
10) Knowledge of word processing, spreadsheet/database, communications, and graphic software.
11) Supervisory skills.
1) Doctoral degree (PhD) in a related field
1) Five to six years of work experience in a related job discipline
2) Previous statistical software experience
2) Cover letter
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application.
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Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.
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Internal Number: JR06013
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