Bioinformatics Scientist

** Position Objective:
** The Bioinformatics Scientist will provide support to the National Institute of Environmental Health Sciences (NIEHS) within the National Institutes of Health (NIH).

This position independently provides bioinformatics and data science support to advance the institute's operational and research objectives. The role requires expertise in statistical genomics, machine learning, and scalable analysis and integration of high-dimensional omics data, applying AI-driven methods to generate biologically meaningful insights.

*
* Duties and Responsibilities:

*
* + Generate and optimize programs and scripts for the analysis of data; create programs and algorithms and develop computational infrastructure resources for organizing and parsing data from large and complex data.

+ Serve as bioinformatics expert and coordinate with teams of biologists to conduct experimental queries and/or perform portions of studies using complex procedures and techniques common to modern bioinformatics.

+ Coordinate building bioinformatics infrastructure to ensure easy and meaningful scientific analysis and interpretation of data.

+ Provide broad-based programming and analytic support for a wide variety of bioinformatic and research projects.

+ Install, troubleshoot and run open-source and commercial scientific software on platforms

+ Perform computational analysis of, and interpret results.

+ Provide reports based on analysis of scientific data.

+ Perform sequencing and alignment of raw data, and interpret new data using larger public access datasets.

+ Provide interpretive analyses of data derived from different experimental platforms to generate biological meaning.

+ Write custom programs and algorithms to support data analyses and discovery.

+ Work independently with research groups to develop, implement, and refine analytical pipeline for high throughput genomics, transcriptomic, epigenetic, proteomics, digital spatial and other omics data.  
** 5*
* + Apply machine learning approach to analyze and integrate large-scale, complex multi-omic data to identify biological insights.

+ Collaborate with scientists to design, analyze, manage and interpret all types of data.  
** 1*
* + Design and execute computational experiments.

+ Work with staff on planning of experiments, and data analysis for internal and collaborative projects; use bioinformatics expertise to advise and help bench scientists on experimental design and trouble-shooting.

+ Work with staff to develop specifications for new analysis; design, test and implement solutions.

+ Make recommendations to investigators about the correct computational tools for testing scientific hypotheses and reaching valid

+ conclusions.

+ Maintain proper and detailed documentation of the analysis performed and report results at lab meetings.

+ Attend scientific and programming meetings; take and compile comprehensive notes; organize and edit content of meeting reports.

+ Prepare scientific reports and progress reports; assemble data to prepare tables, graphs and slides; conduct scientific and program

+ related information searches and report results.

+ Organize daily laboratory notebook on experiments; prepare weekly updates on on-going experiments and tasks; provide monthly

+ progress notes on assigned projects; submit final progress reports and future directions on projects.

+ Organize laboratory notebook or computer database to record results of calculations. Share results at lab meetings.

+ Devise novel methods of statistical analysis for collected data.

+ Utilize and adapt existing bioinformatics techniques to check for trends and patterns in the data.

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

+ Assist in evaluating and interpreting results for validity and scientific meaning.

+ Establish and maintain reproducible data analysis pipelines and standardized operating procedures (SOPs); develop comprehensive documentation to ensure methodologies are transparent, reproducible, and readily applicable to related studies.

+ Develop and implement robust analytical strategies for the integration of multi-omic datasets generated internally, as well as relevant publicly available datasets, to enable comprehensive and biologically meaningful interpretation.

+ Create novel programs and algorithms that facilitate discovery of knowledge in investigating large and complex data.

+ 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.

+ Participate in the design of new protocols involving computational methods.

+ Work with staff on the development and maintenance of bioinformatics tools, scripts and pipe-lines for data.

+ Participate in research design with investigators for determining best practices pertaining to the bioinformatics analysis in new and ongoing projects.

+ Visualize and interpret data to create reports and presentations for scientific…