Bioinformatics Scientist / Bioinformatician
- Location: Bethesda, MD
- Type: Direct Hire
- Job #33128
- Develop and/or implement robust processing and analysis pipelines in support of various whole-genome sequencing projects being performed by investigators.
- Develop and maintain public web-based genome project portals designed to increase the utility of sequencing and other large-scale data sets; this includes implementing genome browsers and visualization tools for single-cell RNAseq data.
- Develop bioinformatic pipelines to identify and characterize retroviral integration sites. These data will be generated by the NIH Intramural Sequencing Center (NISC) using emerging sequencing technologies.
- Optimize bioinformatic pipelines to take advantage of the NIH Biowulf high-performance supercomputing environment, parallelizing per-sample processing steps and designing methodologies to increase processing speeds and reduce network overhead. This includes working directly with NIH high-performance computing team leadership at the NIH Center for Information Technology (CIT) to ensure that infrastructure needs are in place for the successful execution of projects.
- Actively interact with scientists in NHGRI/DIR laboratories to assess their needs with respect to massive (terabyte-sized) data sets, then develop concrete and tractable project plans for completing these projects.
- Develop and maintain bioinformatic analysis pipelines in support of multiple laboratories pursuing gene discovery, gene therapy, and related clinical research projects within the lab.
- Provide broad-based programming and analytic support for a wide variety of bioinformatic and genomic research projects. This includes the development of software pipelines for the processing and analysis of exome and genome sequencing data, bulk and single-cell RNA-seq data, ATAC-seq data, and ChIP-seq data.
- Share scientific information by writing portions of scientific manuscripts and presenting data in seminars and poster sessions.
- Collaborate with staff on teaching activities, in both small- and large-group fora.
- Provide one-on-one training to bioinformatics trainees with regards to all aspects of developing new pipelines for the analysis of high-throughput data and the optimization of code for use in supercomputing environments.
- Provide detailed project documentation so that all methodologies can be reproduced and applied to similar studies in the future.
- Ph.D. in genomics, bioinformatics, or a related discipline. Three (3) years of specialized experience plus a Master’s degree considered to be equivalent to a Ph.D.
- A minimum of (2) years of post-degree relevant bioinformatics experience.
- Two (2) years professional experience programming in Perl, Python or an equivalent scripting language.
- Demonstrated experience in developing and deploying applications on UNIX or Linux platforms in a high-performance computing (HPC) environment.
- Knowledge and demonstrated experience analyzing other types of next-generation sequencing data, (e.g., RNA-seq, ChIP-seq, or related data).
- Demonstrated success in sharing scientific information, through the writing of scientific manuscripts and the oral presentation of data in seminars and poster sessions.
- Strong communications skills, both oral and written.
- Fluency in both written and spoken English.
- Excellent analytical, interpersonal, organizational and time management skills.
- Proven critical-thinking skills and demonstrated ability to manage and interpret large biological data sets.