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Job Summary

Health Scientist Analyst		POSTED: Nov 06
Salary:	Open	Location:	Bethesda, Maryland
Employer:	Information Management Consultants, Inc.	Type:	Full Time - Experienced
Category:	Data analysis/processing	Required Education:	Masters

Employer Information

About Information Management Consultants, Inc.

IMC provides services, solutions, and technology to our government, health and life sciences, and commercial clients. Besides being known for its technology expertise and unique, client-focused approach, IMC is frequently recognized for business and community leadership. Its solutions and/or its executive management have been featured in such media as Time, ABC News, Washington Post, Washington Technology, Nature, and the Washington Business Journal. Chairman Sudhakar Shenoy was recently named o....more info

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Job Description

Provide support to the Reporting Branch in the Office of the Director of the NIH. Duties may include: 1) Describing and characterizing NIH’s intramural and extramural research portfolio and investments, including money for grants, contracts and intramural projects, and staff; 2) Applying existing methods and developing new methods to analyze and describe the data; 3) Evaluating the NIH research portfolio on publications and patents; 4) Assisting in developing and analyzing performance measures for research inputs, outputs, outcomes and impacts at multiple levels of NIH’s portfolio; 5) Collaborating with NIH ICs to assist them in evaluating their own research portfolios; 6) Conducting analyses for evaluations of research; 7) Assisting in writing publications and reports; and 8) Collaborating with external partners. The research data exist in a variety of large databases (IMPACT II, NBS, Intramural, NIDB, National Science Foundation, and Doctorate Research Files) on different platforms which must be linked by the analyst.

Requirements

MS with 5yrs experience and/or PhD. The candidate should have expertise and experience in linking and analyzing large diverse databases, identifying new data that needs to be collected, and inputting missing data. Additionally, have excellent skills in the application of statistical methods and statistical computing packages, such as SQL, SAS, SPSS or STATA, strong communication skills (both numerate and literate of data/statistics), and an ability to work with a wide range of partners. Familiarity with data visualization tools, GIS, evaluation methods and economics is desirable. Training in epidemiology, statistics, demography, econometrics or other quantitative disciplines is highly desirable.

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