Biostatistician, SOM, Internal Medicine, Nephrology Division

Virginia Commonwealth University (VCU) School of Medicine is a premier academic medical center located in the heart of Richmond. Accounting for almost half of VCU’s sponsored research, the School of Medicine is internationally recognized for patient care and education. VCU School of Medicine comprises 18 clinical departments, eight basic health science departments, and 11 affiliated institutes and centers, and provides preeminent education to physicians and scientists in order to improve the quality of healthcare for humanity. All full-time university staff are eligible for our generous benefits package that includes choices for health, vision, and dental coverage, life-insurance, short and long-term disability coverage, retirement planning, tax-deferred annuity and cash match programs, flexible spending accounts, tuition benefits, significant paid-time off,12 paid holidays, and more. Explore our benefits further here: https://hr.vcu.edu/current-employees/benefits/university-and-academic-professional-benefits/

Position Summary:

The Division of Nephrology is seeking a Research Analysts to provide analytical support for both clinical and non-clinical research staff and faculty. Typical duties include but are not limited to the analysis and reporting of research data. Research Analysts may serve as liaisons between technology services, enterprise analytics, and other research departments in support of strategic and operational goals. They may work independently or as a member of a team. They work under general supervision, resolving most standard issues independently and referring complex issues to an upper-level manager. Research Analysts typically report to a manager or director or may report to a department administrator.

Key Responsibilities:

-Formulates research questions to address and solve complex institutional challenges
-Integrates concepts and data from sources to create analyses that serve research and strategic efforts
-Builds statistical models for predicting and forecasting outcomes
-Identifying data sources; data querying, cleaning and gathering; processing and validation; statistical analysis and interpretation; and visualization
-Uses database query tools and statistical, analytical and visualization software to extract, manipulate, analyze, interpret and visualize data trends and patterns and uncover insights
-Synthesizes and communicates insights from research and data for decision makers through data visualizations, reports and presentations
-Participates in data governance efforts, interacting cross functionally with a wide variety of people and teams
-Trains others in research design, statistical analysis and visualization techniques

Typical Expertise:

-Demonstrated proficiency in industry standard programing languages and analytics packages as well as visualization software such as Tableau
-Ability to produce high quality, accurate results in a dead line driven environment
-Ability to prepare reports for a variety of stakeholders in a cohesive and intuitive manner
-Demonstrates excellent written and verbal communication skills with an ability to explain technical and statistical information in understandable terms
-Understanding of research methods and data analytics needed in higher education
-Foster a collaborative inclusive and team-oriented workplace where diversity and individual differences are valued.

Minimum Hiring Standard:
Master's degree in Statistics, Business Analytics, Operational Research, Economics, Computer Science, Mathematics, Physics or Engineering, or closely related to quantitative/computational sciences field. 5+ years of experience in data science, statistical methods, predictive modeling, and forecasting. Strong organizational and multitasking abilities, excellent written and verbal communication skills.

Additional Information-
ORP Eligible: No
Hours / weeks - 40 hours weekly
Days /hours - Monday - Friday, Generally 8:00 am - 5:00 pm
Title Details: Biostatistician
University Title: Research Analyst, RS (1-3)
University Code: 33231N-33233N
University Job Family: Research & Innovation

Position will remain open until filled

The School of Medicine continuously strives for our workplace and learning environment to reflect the demographic and social milieu of the communities we serve. All qualified applicants are encouraged to apply.