Description
The Ion Cyclotron Resonance (ICR) Program at the National High Magnetic Field Laboratory (MagLab) seeks a research faculty member with expertise in bioinformatics, computational mass spectrometry, and scientific software development. The successful candidate will collaborate with researchers in the !CR Program to develop, implement, and validate novel algorithms for the analysis of high-resolution mass spectrometry data, with particular emphasis on top-down proteomics, de novo sequencing, proteoform characterization, and related applications in metabolomics and Iipidomics. The candidate will contribute to the design of software tools and computational workflows for processing data generated by state-of-the-art FT-ICR and Orbitrap mass spectrometers. The MagLab is operated for the National Science Foundation by a collaboration of institutions comprising Florida State University, the University of Florida, and Los Alamos National Laboratory and houses the world's premier !CR laboratory, with state-of-the-art FT-ICR mass spectrometers that operate at 21 T, 14.5 T, 9.4 T, and 9.4 T, for research in chemistry, materials science, engineering, geochemistry, biochemistry, and biology. Current areas include natural organic matter, emerging environmental contaminants, biofuels, top-down proteomics, lipidomics, metabolomics, and mass spectrometry imaging.
The candidate is expected to collaborate with MagLab staff, graduate students, postdoctoral fellows, and external users; publish manuscripts; present at scientific conferences; and contribute to applications for external research funding. Additional responsibilities include maintaining software resources, supporting users with computational aspects of their projects, and helping to establish robust and reproducible data analysis pipelines for the ICR user community.
Requirements
Candidates are expected to have a Ph.D. in Bioinformatics, Computer Science, Computational Biology, Analytical Chemistry, Data Science, or a closely related STEM field, along with experience conducting interdisciplinary research in a collaborative environment.
For the Research Faculty I level, 2-5 years of additional experience in these areas is required.
For the rank of Research Faculty II or III, 6-9 or 10+ years, respectively, of additional experience is required.
The successful candidate must have demonstrated expertise in software development and scientific programming in Python, including the ability to independently design, implement, test, and maintain research software, scientific algorithms, and computational workflows. Candidates should have a record of scholarly achievement through peer-reviewed publications, software development, or other research accomplishments and experience analyzing large, complex biological datasets. Applicants must demonstrate experience developing computational tools through peer-reviewed software publications, publicly available software packages, GitHub repositories, or equivalent evidence of software development.
Preferred Qualifications
Desired qualifications include experience with mass spectrometry-based proteomics, metabolomics, Iipidomics, or related omics disciplines; development of algorithms and software for scientific data analysis; database searching and identification workflows for proteins, peptides, metabolites, or other biomolecules; and quantitative analysis of biological datasets. Experience applying artificial intelligence, machine learning, graph-based methods, pattern recognition, or statistical modeling to biological data is highly desirable. Additional experience with de novo sequencing, computational mass spectrometry, high-performance computing, and open-source software development is preferred. Familiarity with mass spectrometry data formats, computational workflows for high-resolution mass spectrometry, and the development of reproducible and well-documented software tools is desirable.
