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Research Associate, SOM, Internal Medicine, Division of Nephrology

Virginia Commonwealth University (VCU)
Richmond, VA Full Time
POSTED ON 12/5/2024
AVAILABLE BEFORE 2/5/2025
Research Associate, SOM, Internal Medicine, Division of Nephrology
Benefits of working at VCU

All full-time university staff are eligible for VCU’s robust benefits package that includes: comprehensive health benefits, paid annual and holiday leave granted up front, generous tuition benefit, retirement planning and savings options, tax-deferred annuity and cash match programs, employee discounts, well-being resources, abundant opportunities for career development and advancement, and more. Learn more about VCU’s benefits here.

Job Code Data Analyst 24221N - 24223N
Recruitment Pool All Applicants
Posting Number req6591
Unit School Of Medicine MBU
Department School of Medicine, Internal Medicine, Division of Nephrology
Department Website Link
Location VCU
Address 907 Floyd Ave, Richmond, VA 23284 USA
Duties & Responsibilities

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 Data Analyst to provide analytical support for both clinical and non-clinical research staff and faculty. Data Analysts perform routine to moderately complex analysis requiring a general knowledge of multiple IT functional areas, applicable policies, procedures and legal compliance. Typical responsibilities include interpreting data, analyzing results using statistical techniques; developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality; acquiring data from primary or secondary data sources and maintaining databases. The nature of the work requires logical decision-making and sound problem-solving skills. They work under general supervision, making routine to complex decisions independently and referring unprecedented issues to an upper-level manager. Data Analysts typically report to a manager or director or in some units may report to an administrator. 

Key Responsibilities:

-Identify trends and growth opportunities through analysis of complex data sets.
-Interpret data and analyze results using statistical techniques.
-Create reports and present them to the department heads.
-Integrate data from various backend services and databases.
-Provide quality assurance of imported data, working with quality assurance analysts if necessary.
-Administer tests and implement new or upgraded software.
-Assist with strategic decisions on new systems and software.
-Form data management and governance processes.
-Evaluate internal systems for efficiency, problems, and inaccuracies.
-Filter and clean data by reviewing reports and performance indicators to identify and correct code issues.
-Troubleshooting the reporting database environment and reports.

-Foster a collaborative inclusive and team-oriented workplace where diversity and individual differences are valued.

Minimum Hiring Standards:
Bachelor’s Degree in Computer Science, Mathematics, or a related field.

-Professional proficiency reporting packages, databases, and programming.
-Experience with SQL Server.
-Very strong analytical skills.
-Ability to identify trends and patterns in complex data sets.
-Strong knowledge of algorithms and data structures.
-Experience collaborating with internal and cross functional teams.
-Topnotch analytic skills, including data mining, evaluation, analysis, and visualization.

Preferred Qualifications:
- Medical degree or medical background strongly preferred.
-This position requires independent ability for data collection, analysis and interpretation of results. Candidates with experience in biostatistics would be strongly preferred.
-Candidates who have an interest in advancing their career in the field of nephrology and kidney transplantation strongly preferred.

Additional Information:

ORP Eligible: - NO
Hours / weeks - 40 hours weekly 
Title Details: Research Associate      
University Title: Data Analyst IS 1-3   
University Code: (24221N-24223N)
University Job Family: Information Technology

The position will remain open until a candidate is selected.

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. 

Virginia Commonwealth University is an equal opportunity, affirmative action university providing access to education and employment without regard to race, color, religion, national origin, age, sex, political affiliation, veteran status, genetic information, sexual orientation, gender identity, gender expression, or disability. 

Qualifications
FLSA University Employee
Job FTE 100
Exemption Status Exempt
Restricted Position No
E-Class UF - University Employee FT
Job Category University Employee
ORP Eligible No
Salary Range $52,000-$69,000
Compensation Type Salaried
Target Hire Date 1/10/2025
Contact Information for Candidates

Demetria Patterson
demetria.patterson1@vcuhealth.org

Documents Needed to Apply Resume/CV

Salary : $52,000 - $69,000

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