Description
The Youth and Family Research Program (YFRP) in the Department of Psychiatry at the University of Pittsburgh is dedicated to understanding the causes, course, prevention, and treatment of alcohol and drug use disorder and Attention-Deficit/Hyperactivity Disorder (ADHD) across the life cycle. Dr. Frances Wang, a faculty member within the YFRP, seeks a part time Database Manager for her project investigating genetic influences underlying alcohol use disorder. The Database Manager will be responsible for managing four, high dimensional datasets that include both behavioral and genetic data. The ideal candidate is organized, detail-oriented, self-starting, and is familiar with or able to quickly learn various coding languages and programs including but not limited to R, plink, linux, and SPSS. Ideally the candidate will have had some training in working with genetic data, although this is not a necessity. This person will work 2-3 days a week with 8 hour shifts.
This position is grant funded.
Purpose:
Lead data technology innovation and application efforts, oversee all project database management procedures, lead all statistical analysis efforts, supervise staff, provide conceptual input and analysis to facilitate special project tasks and facilitate all software, hardware and communication efforts.
Responsibilities:
- Performs other duties as related to research project as requested by Principal Investigator, coordinator, or supervisor.
- Coordinate and plan projects for all on-going technology innovations and applications used in various research projects. Provide logistical planning, tracking of projects components, and enforce accountability for deadlines and expectations among various data core staff members.
- Integrate data management systems across multiple projects so that necessary innovations from one study are modified and utilized in all other studies and there is consistency, comparability and efficiency across studies.
- Enforces policies and procedures to ensure compliance across projects with program-wide best practice documents.
- Coordinates communication among project personnel regarding data management issues.
- Train and supervise staff with data analysis responsibilities in the appropriate use of statistical techniques, including standardization of analytical databases and statistical output to allow analytical tasks to be completed and reference efficiently across the program.
- Design and implements applications for data entry systems, data management system, quality assurance, and front-end users interfaces.
Qualifications
- 4 year academic degree includes courses in computer programming, systems analysis, system development, or systems engineering
OR
- has acquired Core IT skills and knowledge via practical experience.
- Experience with data analyses (e.g., regression, ANOVA, structural equation modeling) preferred.
- Serve as lead resource for dealing with challenging technical or business issues.
- Demonstrate prevention techniques to avoid repeat issues and crisis situations.
- Knowledge in a primary discipline and working knowledge in multiple relevant disciplines to create solutions for highly complex business situations.
- Demonstrate success leading teams or collaborating with business partners and peer-level professionals from other IT specialties from UPMC or vendor or consulting organizations. Establish and refine the essential IT principles, departmental policies, procedures and analytical rules that guide their application in practical situations.
- Higher education (Bachelors/Masters) may be required per Grants
Licensure, Certifications, and Clearances:
- Act 34 with renewal
UPMC is an Equal Opportunity Employer/Disability/Veteran
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