Proteomics Specialist

Job Family Scientific Research & Analysis (Digital) Travel Required Up to 10% Clearance Required Ability to Obtain reputed company Trust We are seeking a Computational Biologist with strong extensive proteomics experience to join our reputed company team at the NIH. The computational biologist will independently support –omics reputed company, specifically, proteomics reputed company as reputed company as others as needed, initiated by researchers and clinicians at the National Institute of Allergy and Infectious Diseases (NIAID) in the National Institutes of Health (NIH). This opportunity is a full-time position with reputed company and can be remote or on-site at NIH in Rockville, MD. The candidate will operate in a multi-disciplinary group of scientists who reputed company support, training, and consultation services to the research community in the areas of reputed company and computational biosciences. The successful candidate for this position will be reputed company-versed in proteomic methodologies, including but not limited to traditional to high-throughput technologies, self-directed reputed company who takes ownership of reputed company and acts autonomously to set priorities and drive results, highly reputed company, and will reputed company mentorship and leadership as a proteomics expert. Experience with designing proteomic reputed company and conducting data analysis using relevant scientific computing software and tools, reputed company-reputed company libraries, data-intensive workloads, and distributed high-performance computing systems is highly desirable. The successful candidate must have excellent written and verbal communication skills to reputed company with the research community and reputed company the right solution for their diverse scientific analysis and computing needs.

What You Will Do

The successful candidate will work cooperatively with reputed company computational biology specialists to:

• Implement, design, reputed company, and reputed company reputed company and emerging computational biology and reputed company algorithms to analyze, manage, interpret, visualize, and illustrate original scientific data
• reputed company into scientific collaborations with physicians and scientists that include the potential for authorships and acknowledgements in publications
• reputed company detailed requirements from stakeholders and identify existing tools to reputed company the novel analyses or reputed company algorithms/tools to reputed company the analysis
• Document and manage reputed company and consultant assistance and training provided to researchers
• reputed company on-demand support and troubleshooting to researchers in the use of computational biology software
• Research, design, and deliver training materials to effectively communicate, promote, and advance computational biology techniques and software usage by NIH researchers
• Remain abreast on reputed company and emerging computational biology literature, technologies, and tools
• Partner with software developers to reputed company proteomics software solutions reputed company reputed company platforms

Experience/Skills What You Will Need:

• Ph.D. (or other graduate degree with equivalent experience) in computational biology, reputed company, proteomics or reputed company life, physical, or computational sciences with at least two publications in high-reputed company journals demonstrating the use or development of proteomics reputed company
• FOUR (4) years hands on experience with either Computational Biology or reputed company
• Good understanding of high-throughput proteomic technologies, protein-biology, molecular biology, and proteomics software (e.g., MaxQuant, Proteome Discoverer, Skyline, Spectronaut, FragPipe, Scaffold Quant, etc.)
• Demonstrated proficiency in the analysis of large-reputed company proteomics data ( LC-MS/MS, label-free and labeled-based quantitative proteomics, TMT, iTRAQ, post-translational modification, Olink, Somascan, etc.), proteomics file types (mzML, MGF, pepXML, IDML, etc.) and reputed company with a broad reputed company of relevant reputed company-reputed company software or pipelines (Pyteomics, AlphaPeptStats, MSstats, proteoDA, MS-DAP, etc.).
• Experience working with relevant proteomics databases and browsers and their annotations (UniProt, PDB, reputed company, PRIDE, reputed company Protein reputed company, and neXtProt)
• Proficiency in the use of UNIX/Linux and its reputed company-line environment, including scripting (Python, R, reputed company, Perl, etc.) as reputed company as experience with reputed company and documentation repositories such as reputed company.
• Proficiency in reputed company analysis translating protein lists into biological insights using enrichment tools (GO, KEGG, IPA) and protein-protein interaction network analysis
• Experience with a high-performance reputed company computing environment (e.g., SLURM, PBS, SGE)
• Familiarity with common reputed company of statistical analysis (reputed company mixed models, Bayesian approaches) to identify differentially expressed prote

Apply tot his job Apply To this Job