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1.  Serves as the biostatistician and the primary data manager for the division in a bioinformatics leadership capacity, as well as the administrator for a large departmental data repository currently in the planning stages of development, which will house all current and future research study data. 2.  Writes policy and standard operating procedures for data monitoring, data management, data repository development, data verification and oversees compliance with information security etc.   3.  Designs data architecture, establishes data dictionaries, uses statistical programming and transitions old databases into the new RedCap system.  4.  Manages and constructs limited use de-identified datasets for permitted, shared use, overseeing proper authorization for data use agreements and secure release of information from the repository according to regulatory policy.  5.  Works with research project teams to determine needs for coding conventions, data summary sheets and develops scoring algorithms for raw data sets.  6.  Converts data stored in existing databases (i.e. Excel, MS Access, SQL etc.) into one universal format for RedCap database use.  7.  Uses statistical computer programs (e.g. SAS, SPSS) and existing database programs to construct and manage limited datasets relevant for immediate analyses in CND projects. 8.  Develops data conventions for managing incomplete data sets, runs query checks and resolves edits and out of range values with study teams, documenting all processes; overseeing this process when done by others. 9.  Works in conjunction statisticians at collaborating research institutions (i.e. Strong Star, Mount Sinai, Yale etc.) to ensure uniformity in data entry and storage methods for shared projects across sites.  10. Conducts interim statistical analyses on study data to assist investigators with go, no-go decision making for their research projects, as well as final analyses for publication of results. 11. Provides expert advice with regard to data management strategies, data storage strategies and forms development to division staff, overseeing this work done by others. 12. Serves as subject matter expert and data liaison for all aspects of the division's data collection and management, including: statistical sections of study protocols, final study reports, final statistical analyses for research projects and data repository utilization. 13. Summarizes complex neuroimaging, EEG, laboratory, behavioral and other statistical data into tables and graphs for papers, presentations and meetings. 14. Supervises two staff members directly and indirectly influences and oversees the work standards of all research staff within the division who enter, manage, verify and monitor data. 15. Coordinates and oversees the set-up and utilization of standardized electronic assessment tools and cognitive testng batteries on VA computers. 16. Develops and maintains data systems designed to ensure that databases used for research projects comply with administrative policies, procedures and requirements set forth by both the incumbent as well as the Research Office, Institutional Review Boards, Office of Research Oversight and the data security guidelines outlined by the Information Security and Compliance Offices, as well as overseeing proper authorization for data use agreements and secure release of information from the data repository according to regulatory policy. 17. Prepares regular workload reports for Core review and performs other related duties as assigned.

Required Skill/ability 5:  Excellent oral and written communication skills.  Demonstrated ability to work both independently and as part of a team is required.

Posting Position Title:  Data Manager, Biostatistics

Required Skill/ability 3:  Well-organized and detail-oriented with a demonstrated ability to work on several projects simultaneously and to prioritize work to meet all needs on a timely basis is required. 

Work Week:  Standard (M-F equal number of hours per day)

University Job Title:  Data Manager, Biostatistics

Required Skill/ability 1:  Advanced statistical programming skills (e.g., SAS, R) required.  Experience with additional statistical tools such as MPlus and Stata is preferred.

Required Skill/ability 4:  Ability to creatively contribute to the formulation of statistical analysis plans.  Candidate will be expected to participate as co-author in the preparation of abstracts, presentations, and manuscripts.

Required Skill/ability 2:  Demonstrated analytical and statistical skills.  Experience with graphical software (e.g., PRISM, Visio).

Master's Degree in statistics, bioinformatics, epidemiology or a related field and 5 years of related experience or an equivalent combination of education and experience.

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