Bioinformatics Scientist (50861)
About The Position
The Bioinformatics Scientist will provide support services to satisfy the overall operational objectives of the National Institute on Aging (NIA) within the National Institutes of Health (NIH). The primary objective is to provide services and deliverables through performance of support services. This role involves programming, data processing, and troubleshooting support for human population-based studies involving omics, clinical, phenotype, and wearable/sensor data. The scientist will assist with the integration of laboratory-generated data with public and controlled-access datasets for downstream analysis and interpretation, and perform computational analyses using established bioinformatics and statistical methods for multi-omics and wearable datasets, integrating them into epidemiologic research. The position also supports the development, execution, testing, and documentation of reproducible analysis pipelines and workflows, and involves collaboration with laboratory staff and trainees on study planning, data analysis, result interpretation, and troubleshooting for internal and collaborative projects. The scientist will prepare reports, tables, figures, slides, and written summaries of analytical results, maintain clear documentation, and contribute computational support to manuscripts, presentations, and other scientific products. Additional duties include processing raw data, analyzing multi-omics and longitudinal data, maintaining and organizing omics data and related records, helping maintain laboratory databases, software tools, and computing resources, providing large-scale genome-wide DNA and protein sequence analysis, assisting with the development and maintenance of Oracle databases, web tools, and websites, setting up and maintaining computer resources and networks, providing customer service for web resources, and contributing to scientific publications.
Requirements
- Masters Degree in Biology or a science related field
- Skilled in MS Office Suite
- Strong communication skills, both oral and written.
- Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects.
Responsibilities
- Provide programming, data processing, and troubleshooting support for human population-based studies involving omics, clinical, phenotype, and wearable/sensor data
- Assist with integration of laboratory-generated data with public and controlled-access datasets for downstream analysis and interpretation.
- Perform computational analyses using established bioinformatics and statistical methods for multi-omics and wearable datasets and integrate them into epidemiologic research.
- Support development, execution, testing, and documentation of reproducible analysis pipelines and workflows.
- Collaborate with laboratory staff and trainees on study planning, data analysis, result interpretation, and troubleshooting for internal and collaborative projects.
- Prepare reports, tables, figures, slides, and written summaries of analytical results for laboratory meetings, progress reports, and scientific presentations
- Maintain clear documentation of methods, analyses, and results in laboratory records and shared project resources
- Contribute computational support to manuscripts, presentations, and other scientific products.
- Process raw data, including quality control, alignment, quantification, normalization, and generation of analysis-ready datasets
- Analyze multi-omics, wearable and other longitudinal signal/-omics data using standard computational and statistical approaches.
- Maintain and organize omics data, metadata, analysis files, and related records for different projects, including data tracking, harmonization, documentation, backup, and controlled sharing.
- Help maintain laboratory databases, software tools, and computing resources used for bioinformatics analyses.
- Provide large-scale genome-wide DNA and protein sequence analysis
- Assist with development and maintenance of Oracle database for genomics and proteomics projects in the Translational Gerontology Branch TGB
- Assist with development and maintenance of web tolls and web sites
- Set up and maintain computer resources and networks of the Laboratory
- Provide customer service by responding to questions about the LG web resources from researchers inside and outside the LG
- Contribute to the publication of scientific reports
- Provide computational support for members of the Laboratory
- Maintain the computer and network system of the Laboratory
- Clean equipment, inspect equipment, and meet with lab members to present updates.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
