Bioinformatics Scientist

Bioinformatics Scientist

Position Closes: 06.29.2026 National Institutes of Health / National Institute of Environmental Health Sciences (NIEHS)

Place of Performance: NIEHS, 111 T.W. Alexander Dr., Bldg. 101, Room A031, Research Triangle Park, NC 27709

This position will independently provide bioinformatics support to advance the institute’s research programs, with a primary focus on single cell and spatial omics data analysis. The role requires advanced proficiency in statistical modeling, machine learning, and integrative analysis to extract biologically meaningful insights from complex cellular systems. The Bioinformatics Scientist will collaborate closely with investigators and multidisciplinary teams to design analytical strategies, ensure data quality, interpret results, and translate findings into actionable scientific conclusions.

Programming and troubleshooting support for the dissemination of research data
. 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 datasets. 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 the building of 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 relevant platforms.

Computation on research data
. Work independently with research groups to develop, implement, and refine analytical pipelines 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 across experimental protocols, and investigate visualization tools for single cell datasets. Perform computational analysis of, and interpret, results. 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, and provide reports based on analysis of scientific data.

Scientific programming and experimental design with staff
. Collaborate with scientists to design, analyze, manage, and interpret all types of data. Design and execute computational experiments. Work with staff on the planning of experiments and data analysis for internal and collaborative projects; use bioinformatics expertise to advise and assist bench scientists on experimental design and troubleshooting. Work with staff to develop specifications for new analyses; design, test, and implement solutions.

Make recommendations to investigators about the correct computational tools for testing scientific hypotheses and reaching valid conclusions. Documentation and reporting of results at laboratory meetings. Prepare scientific and progress reports; assemble data to prepare tables, graphs, and slides; conduct scientific and program‑related information searches and report results. Organize the daily laboratory notebook on experiments; prepare weekly updates on ongoing experiments and tasks;

provide monthly progress notes on assigned projects; and submit final progress reports and future directions on projects. 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; and organize and edit the content of meeting reports.

Statistical support and analysis on research data
. Devise novel methods of statistical analysis for collected data. Utilize and adapt existing bioinformatics techniques to check for trends and patterns…