Bioinformatics Scientist

Statement of Work Details

Provides programming and troubleshooting support to the Federal Government in the dissemination of research data.

• Optimize bioinformatic processes to take advantage of the NIH Biowulf high-performance supercomputing environment, parallelizing
• per-sample processing steps and designing methodologies to increase processing speeds and reduce network overhead

Performs computations on research data analysis.

• Perform computational analysis of, and interpret results.
• Collect, analyze and interpret bioinformatics data.

Works with staff on scientific programming and experimental design.

• Design and execute computational experiments.
• Collaborate with staff on the design of bioinformatics experiments. 1
• Use Python, JAVA, R and Unix programming languages on experimental research. 3

Records observations and report results at weekly laboratory meetings.

• Prepare scientific reports and progress reports; assemble data to prepare tables, graphs and slides; conduct scientific and program related information searches and report results.

Provides statistical support / analysis on research data.

• Perform data processing and data analysis with existing computational and statistical methods.

Provides research / service goals in the context of the laboratory's overall mission.

• Develop and optimize programs and scripts that facilitate organization, integration and data-mining of large data sets; integrate these models into a framework of best practices.
• Work with staff on the development and maintenance of bioinformatics tools, scripts and pipe-lines for data.

Evaluates new types of experimental approaches to protocols based on knowledge of scientific literature, available facilities and research needs.

• Prepare reports and summaries based on results and findings.
• Critically evaluate bioinformatics data and publications.

Independently coordinates the training of personnel in the use of scientific software applications, statistical software applications and programmatic software applications.

• Optimize bioinformatic processes to take advantage of the NIH Biowulf high-performance supercomputing environment, parallelizing
• per-sample processing steps and designing methodologies to increase processing speeds and reduce network overhead

Initiates interdisciplinary collaborations with other research centers.

• Collaborate with NHGRI Bioinformatics core staff, informatic, bench and clinical scientists on the analysis of data and findings from bioinformatics experiments.

Deliver at least one presentation per year to audiences outside the Government.

• Collaborate with staff on preparing and editing scientific publications.