Clinical Biostatistician:
Medical Science & Computing (MSC), a Dovel company

We are currently searching for a Clinical Biostatistician to perform data management and carry out statistical analysis for assigned NINDS Stroke Branch intramural research projects. Provide statistical advice and consultation to the investigators in the NINDS Stroke Branch in study design, data management, choice and application of statistical methods, data analysis, and interpretation of statistical results. Write data analysis reports, prepare tables and figures of statistical results, and participate in the preparation of scientific presentations and manuscripts. Participate in Stroke Branch group meetings and activities such as reviewing clinical study protocols. Participate in internal research and development activities. This opportunity is full-time, and it is on site in Bethesda, MD.

• Provide biostatistical expertise for the research study
• Provide analytic results using standard statistical procedures, including descriptive statistics, rate standardization, stratification of data and model building (logistic regression, conditional logistic regression, Cox regression) using SAS, Stata, Epicure, and similar statistical software programs
• Analyze, interpret, communicate, and document epidemiologic data and results
• Integrate data from multiple sources into SAS data sets
• Develop and implement new research and study designs using appropriate statistical methods
• Collaborate and work with a team of researchers to develop, iterate and execute innovative strategies for genomic data integration and modeling/prediction
• Work with branch staff and research training fellows to provide statistical support for studies based on existing data sets; work with staff to assemble data sets for these purposes
• Perform descriptive and missing data analysis
• Apply a variety of data reduction techniques
• Prepare summaries and reports for staff review
• Write statistical sections in manuscripts; work with research staff to interpret referees' comments on manuscripts
• Provide description of statistical methods in manuscripts; work with research staff to respond to and interpret referees' comments
• Provide biostatistical expertise for the research study
• Communicate research findings, disseminate public information, and respond to relevant inquiries
• Provide analytic results using standard statistical procedures, including descriptive statistics, rate standardization, stratification of data and model building (logistic regression, conditional logistic regression, Cox regression) using SAS, Stata, Epicure, and similar statistical software programs
• Participate in and contribute to different aspects of the research study through study planning, decision-making, problem-solving and strategic analysis
• Present data: prepare charts, tables, and graphs, using software such as PowerPoint, Excel, Stata, Sigma plot, or Origin that can be used for scientific monographs, book chapters, and professional presentations (including poster and oral presentations)
• Perform data cleaning (identifying and correcting data entry errors and/or missing values) and data transformation (creating and categorizing variables and imputing data)
• Stay abreast of relevant science and current research, as well as relevant regulatory and policy-related issues
• Conduct relevant literature reviews and collaborate on relevant research publications
• Research and review literature to retrieve targeted clinical or scientific information from publicly available resources
• Consult with staff on the application of statistical methods to address the key study scientific aims of the study
• Provide literature review related to analyses used in comparable studies
• Develop training strategies and implement training activities for internal and external researchers
• Provide consultation on use of statistical methods and software packages to other staff
• Research and analyze new developments in biostatistical methods and applications

# SOAR

#LI-JR1

• Public Health Experience
• Experience in longitudinal data analysis and multi-level modeling
• R
• Stata or SAS

Dovel Technologies and its Family of Companies (Medical Science & Computing and Ace Info Solutions) was acquired in October 2021.

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