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). The position will independently provide bioinformatics support to advance the institute research programs, with a primary focus on single cell and spatial omics data analysis. This role requires advanced proficiency in statistical modeling, machine learning, and integrative analysis to extract biologically meaningful insights from complex cellular systems.

The position will collaborate closely with investigators and multidisciplinary teams to design analytical strategies, ensure data quality, interpret results, and translate findings into actionable scientific conclusions.

• 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.
• Work independently with research groups to develop, implement, and refine analytical pipeline for single cell data analysis.
• Analyze and integrate large-scale, complex multi-omic data to identify biological insights.
• Identify, evaluate and implement different analytical approaches for processing scRNA-seq data for different experiment protocols, and investigate visualization tools for single cell datasets.
• 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.
• Collaborate with scientists to design, analyze, manage and interpret all types of data.
• 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.
• 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.
• 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.
• 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 reproducible data analysis pipelines and standard operating procedures; provide detailed documentations for methodologies so they can be reproduced and applied to similar studies.
• Develop analytical approaches to integrate multiple omic data generated internally as well as use of publicly available datasets.
• 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.
• Collaborate with experimental teams to…