Visiting Biostatistician - Division of Endocrinology, Diabetes, and Metabolism

Visiting Biostatistician - Division of Endocrinology, Diabetes, and Metabolism Chicago, IL, United States 1043083 Posted on: 9/24/2026 - Application Deadline: 10/12/2026 Hiring Department: Department of Medicine Location: Chicago, IL USA Requisition ID: 1043083 Salary: Thebudgeted salary range for the position is $75,000 to $90,000. The pay offeredto the selected candidate will be determined based on factors including (butnot limited to) the experience and qualifications of the selected candidateincluding equivalent years in rank, training, and field or discipline; internalequity; and external market pay for comparable jobs. About the University of Illinois Chicago UIC is among the nation’s preeminent urban public research universities, a Carnegie RU/VH research institution, and the largest university in Chicago. UIC serves over 34,000 students, comprising one of the most diverse student bodies in the nation and is designated as a Minority Serving Institution (MSI), an Asian American and Native American Pacific Islander Serving Institution (AANAPSI) and a Hispanic Serving Institution (HSI). Through its 16 colleges, UIC produces nationally and internationally recognized multidisciplinary academic programs in concert with civic, corporate and community partners worldwide, including a full complement of health sciences colleges. By emphasizing cutting-edge and transformational research along with a commitment to the success of all students, UIC embodies the dynamic, vibrant and engaged urban university. Recent “Best Colleges” rankings published by U.S. News & World Report, found UIC climbed up in its rankings among top public schools in the nation and among all national universities. UIC has over 300,000 alumni, and is one of the largest employers in the city of Chicago. This position is intended to be eligible for benefits . This includes Health, Dental, Vision, LifeInsurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents. Position Summary The Visiting Biostatistician will mainly work with the Division of Endocrinology, Diabetes, and Metabolism. The Visiting Biostatistician will be involved in all states of the research process, and provides study design, data management, statistical analysis, quality assurance, and study management services to a broad array of cardiometabolic research, including multi-omics, clinical, preclinical, epidemiological, and translational studies, in addition to review of protocols and grant applications. The Visiting Biostatistician will work under the guidance and in collaboration with Endocrinology faculty, and will provide statistical data support on design, analysis, interpretation and implementation to investigators for research/trial activities. Duties & Responsibilities Collaborate in the development of study designs, and specifically data processing and analytic protocols, for high dimensional multi-omics research of large epidemiologic studies. Analyses will include not only data cleaning and testing specific study hypotheses but utilizing AI/ML methods and performing sample size or power calculations. Use statistical and medical understanding to appropriately perform and advise investigators in data collection, management and analyses for multi-omics and traditional epidemiologic studies (i.e., genome wide association studies, longitudinal cohort studies and randomized controlled trials); provide interpretation and documentation of scientific data analyses, creates summaries, and present results in written and verbal form to investigator(s). Performs a range of activities to facilitate the design of research projects and clinical trials; Contributes data management of on-going longitudinal studies, dataset development, data analyses and interpretation for preparation and delivery of reports for peer-reviewed publication, grant proposal and application, and presentations. Collaborate with investigator(s) to ensure that project/trial results and conclusions are presented accurately and without bias. Clean, organizes and performs quality control of data in preparation for analyses; prepares and edits data summaries of data analyses. Attend project meetings with faculty, principal investigators, research staff, and other relevant stakeholders; Serve on research related committees such as the Protocol Review Committee (PRC) and/or Data Safety and Management Committee (DSMC). Retain all study data in accordance with sponsor requirements and university policies and procedures. Partner with investigator(s) to jointly achieve objectives and timeliness. Perform other related duties and participate in special projects as assigned. Minimum Qualifications Master's Degree in Biostatistics, Statistics, Bioinformatics, or related field required. At least one year of related and recent experience in the analysis of quantitative research data within an academic environment required. Must have experience analyzing high-dimensional multi-omics data using high performance computing clusters and cloud computing environments; At least 1 year of experience in research and the integration of statistics application in biological principles. Experimental design including basic science, population-based science, biological sciences and/or clinical trial studies addressing issues such as sampling recruitment, allocation of treatment(s), randomization strategies, and development of an analytic plan. Thorough knowledge of applied aspects of longitudinal data analysis, including survival analyses and mixed modeling approaches, along with research data management using softward such as RedCAP is required through a combination of academic training and work experience. Experience in data management, cleaning and interrogating of data, and determine missing data elements as appropriate. Demonstrated proficiency using SAS, R, Stata, SPSS, or other relevant statistical programs. Computer skills using high performance computing clusters (in a linux/unix environment) and cloud computing, along with Microsoft Office (Outlook, Word, Excel & PowerPoint). Proficient in preparing tables and graphs to present clinicaI data or research study results. Demonstrated skills in time management and project management. Strong focus on quality and timely delivery of work; ability to multi-task and work on concurrent projects. Demonstrated interpersonal skills to develop and maintain effective professional work relationships with investigators in various disciplines. Ability to work well autonomously and in team environment with a wide range of varying disciplines. Preferred Qualifications Experience with epidemiological data and omics data, such as epigenetics and metabolomics. Experience with machine learning. The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify. The university provides accommodations to applicants and employees. Request an Accommodation Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person. Looking for more University of Illinois positions? We invite you to search for positions at each of the University of Illinois locations, the University of Illinois System Office and the University of Illinois Foundation. The University of Illinois System Office supports the primary missions of teaching, research, public service, and economic development for all of the Universities and offers positions in all locations. The University of Illinois Foundation is the official fundraising and private gift-receiving agency for the University of Illinois and also offers position in all locations. Click the links below to search for other University of Illinois positions. The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, covid sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify. Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person. #J-18808-Ljbffr UIC