Bioinformatics Scientist
Provide bioinformatics and computational support for multi-omics and wearable data studies at NIH/NIA. Requires a Master's in Biology and strong programming and statistical analysis skills.
Responsibilities
- Provide programming, data processing, and troubleshooting support for human population-based studies involving omics, clinical, phenotype, and wearable/sensor data.
- Perform computational analyses using established bioinformatics and statistical methods for multi-omics and wearable datasets and integrate them into epidemiologic research.
- Process raw data, including quality control, alignment, quantification, normalization, and generation of analysis-ready datasets.
- Provide large-scale genome-wide DNA and protein sequence analysis.
- Assist with development and maintenance of Oracle database for genomics and proteomics projects.
- Assist with integration of laboratory-generated data with public and controlled-access datasets for downstream analysis and interpretation.
- 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.
- 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.
- Help maintain laboratory databases, software tools, and computing resources used for bioinformatics analyses.
- Assist with development and maintenance of web tools 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.
Requirements
- Master’s degree in science related field (Biology)
- Strong communications skills, both oral and written
- Proficiency with MS Office suite
Nice-to-Haves
- Experience with Oracle database for genomics and proteomics projects
- Experience developing and maintaining web tools and websites
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