Summary:
Under general supervision of the lead departmental Statistician but according to established policies and procedures operates computer with access to computing resources within the Department of Psychiatry to display store retrieve and analyze data gathered from various research projects. Consults with researchers within the department to appropriately match data collection and analytic approaches with study design. Creates relational databases and audits data collection procedures. Perform statistical analysis for multiple research studies and help present summary reports to researchers. Reviews results to detect and correct errors; prepares and distributes reports and assists with final presentation of results. Assists in complex analysis including longitudinal methods missing data causal approaches data-driven prediction algorithms functional data analysis and transportability methods. Trains and oversees work of Research Assistants within the department in database coding entry and cleaning of data. Assists in providing analytic support to doctoral and postdoctoral researchers within the department.

Responsibilities:
According to needs identified by the lead Statistician help manage the data pipeline including data integrity and performing appropriate statistical analysis.

Performs important analytic tasks including ensuring accuracy of data ensuring elimination of data errors as appropriate.

Assist with advanced statistical approaches involved in longitudinal methods missing data causal approaches data-driven prediction algorithms and functional data analysis and transportability methods.

Organizes reports for departmental faculty at scheduled research meetings.

Directly interfaces with research faculty from various projects across the department of psychiatry to help conduct and prepare statistical analyses for national and international conferences as well as for peer-reviewed publications.

Maintains data and analytic files electronically that are consistent with FAIR principles for reproducible science. Help prepare data analytic syntax and meta data for upload to public data repositories.

Other information:

BASIC KNOWLEDGE:

Bachelor�s in computer science biostatistics applied mathematics/statistics quantitative psychology or other related discipline required. Master's degree preferred.

Coursework must include higher level courses in advanced statistical techniques and algorithms. Coursework in data collection methods is preferred but not required. Proficiency in programming applications such as R SAS or SPSS is required. Experience with relational database management tools and database structure such as SQL or MS Access is preferred but not required.

Firsthand experience with data collection in health sciences is required. Experience with various physiological recordings from human subjects and/or animals is preferred. Experience in the field of mental health is preferred. Other wet-lab experiences demonstrating high caliber at data collection is welcomed. Basic training in human physiology neuroscience or other applicative biological science field will add to the advantage of the candidate.

The candidate must demonstrate knowledge and skills in working with mental health data and display of collaborative competence across professionals with different mental health background. Must demonstrate high level of understanding and application of various advanced statistical modeling techniques in mental health projects with publications in reputed journals or presentations at professional conferences.

Must have strong interpersonal and organizational skills to collaborate with research professionals across disciplines and with varying levels of analytic expertise. Must have strong written communication skills as much of the dissemination of analytic results is through presentations scientific posters and publications.

EXPERIENCE:

2+ years of experience with mental health data analyses and display of collaborative competence across professionals with different mental health training backgrounds. Collaborative work spanning different health care settings including consulting work experience with physicians is expected.

2+ years of experience in data collection in health sciences to understand the nuances and complexities of the human physiological data measurements is presumed. Basic training in human physiology (or neuroscience) is highly desired.

Must be proficient in understanding and application of statistical tools and modeling techniques. This along with expertise in statistical programming applications such as R SAS or SPSS must have been demonstrated by publications in reputed journals of mental health.

Must have consulting experiences indicative of exceptional interpersonal and organizational skills to effectively interact with professionals in hospital setting to gather research information its translation into analytic plan and dissemination of knowledge in the form of publications and presentations at professional conferences.

Knowledge and working experience with relational databases and database structures is preferred but not required.

INDEPENDENT ACTION:

Performs independently within the department�s policies and practices. Refers specific complex problems to the supervisor when clarification of the departmental policies and procedures is required.

SUPERVISORY RESPONSIBILITY:

No direct supervisory responsibility. Helps train and oversees work of research assistants in data collection database coding entry and other database management operations such as harmonization of datasets from different studies. Help consult with doctoral and postdoctoral researchers on analytic projects.

Brown University Health is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin age ethnicity sexual orientation ancestry genetics gender identity or expression disability protected veteran or marital status.   Brown University Health is a VEVRAA Federal Contractor.

Location: Rhode Island Hospital USA:RI:Providence

Work Type: Per Diem

Shift: Shift 1

Union: Non-Union

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