Interacts with NIDA/IRP investigators to develop biomedical informatics applications and solutions that can access, manage, disseminate, and analyze large quantities of high quality data. Develops, researches, and/or applies computational tools to assist in the acquisition and analysis of biological, medical behavioral or health data, within a specific time frame determined to be appropriate by the NIDA. Helps facilitate new system initiatives and changes to existing systems to meet legislative, regulatory, and departmental requirements within the specific time frames designated by each requirement. Conducts routine system analysis of automatic data processing resources and techniques of existing projects. Recommends, as needed, the implementation of new technologies that are efficient and timely. Provides technical and professional support to help integrate computer systems, design or acquire computer programs, configure and support networks and streamline automated data processing within the NIDA's specified timeframe. Integrates scientific data systems with network services and security services to foster safe and secure NIDA/IRP laboratory collaboration and for collaboration with extramural entities, when possible integrate scientific data systems with one another and ensure design for interoperable data. Automates various aspects of clinical and non-clinical programs at the NIDA/IRP. These include but are not limited to functions related to research participant recruiting, pharmacy, nurses, physicians, and other investigators including those at the Maryland Psychiatric Research Center.

National Institute of Health (NIH)
National Institute on Drug Abuse (NIDA)
Scientific Computing Intramural Research (ZIH)
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National Institute on Drug Abuse
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Epstein, David H; Tyburski, Matthew; Craig, Ian M et al. (2014) Real-time tracking of neighborhood surroundings and mood in urban drug misusers: application of a new method to study behavior in its geographical context. Drug Alcohol Depend 134:22-9
Phillips, Karran A; Epstein, David H; Vahabzadeh, Massoud et al. (2014) Substance use and hepatitis C: an ecological momentary assessment study. Health Psychol 33:710-9
Epstein, David H; Willner-Reid, Jessica; Vahabzadeh, Massoud et al. (2009) Real-time electronic diary reports of cue exposure and mood in the hours before cocaine and heroin craving and use. Arch Gen Psychiatry 66:88-94
Vahabzadeh, Massoud; Lin, Jia-Ling; Mezghanni, Mustapha et al. (2009) Automation in an addiction treatment research clinic: computerised contingency management, ecological momentary assessment and a protocol workflow system. Drug Alcohol Rev 28:3-11
Ghitza, Udi E; Epstein, David H; Schmittner, John et al. (2008) Effect of reinforcement probability and prize size on cocaine and heroin abstinence in prize-based contingency management. J Appl Behav Anal 41:539-49
Lin, Jia-Ling; Vahabzadeh, Massoud; Mezghanni, Mustapha et al. (2008) Pharmacy informatics in controlled substances research. AMIA Annu Symp Proc :1025