Job Description

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 clinical, preclinical, epidemiological, and translational research, 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 implementation process for research, observational, and clinical project/trial to prepare and formalize statistical analysis plan, focusing on fundamental issues including specification of hypotheses and perform sample size or power calculations.
• Use statistical and medical understanding to appropriately perform and advise investigators in data collection, management and analyses for research, observational, and clinical project/trials; develop objectives and procedures for the project/trial; 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 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.

Qualifications:

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 understand biological processes, proper experimental designs, data analysis and interpretation of results in biostatistics; 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 trials 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 observational and clinical study design, data analysis, research data management and statistical program 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 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 stake holders.
• Ability to communicate effectively both orally and in writing to a variety of audiences.

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

How to Apply

Job Categories: Equal Opportunities. Job Types: Full-Time. Salaries: 40,000 - 60,000.

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