Research Faculty (Open Rank) - Bioinformatics and Proteomics Software Development (NHMFL)

Department and research environment

Role overview

Responsibilities

• Develop, implement, and validate algorithms for high-resolution mass spectrometry data analysis.
• Support top-down proteomics, de novo sequencing, proteoform characterization, metabolomics, and lipidomics applications.
• Design computational workflows for data generated by FT-ICR and Orbitrap mass spectrometers.
• Collaborate with NHMFL staff, graduate students, postdoctoral fellows, and external users.
• Publish manuscripts, present at conferences, and contribute to external research funding applications.
• Maintain software resources and support users with computational aspects of their projects.
• Establish robust and reproducible data analysis pipelines for the ICR user community.

Required qualifications

• Ph.D. in Bioinformatics, Computer Science, Computational Biology, Analytical Chemistry, Data Science, or a closely related STEM field.
• Experience conducting interdisciplinary research in a collaborative environment.
• Research Faculty I requires 2 to 5 years of additional experience; Research Faculty II or III requires 6 to 9 or 10 or more years, respectively.
• Demonstrated expertise in Python software development and scientific programming.
• Ability to independently design, implement, test, and maintain research software, algorithms, and computational workflows.
• Record of scholarly achievement and experience analyzing large, complex biological datasets.
• Evidence of computational tool development through publications, public packages, GitHub repositories, or equivalent work.

Preferred qualifications

• Experience with mass spectrometry-based proteomics, metabolomics, lipidomics, or related omics disciplines.
• Experience with scientific data-analysis algorithms, database searching, and biomolecule identification workflows.
• Experience applying artificial intelligence, machine learning, graph-based methods, pattern recognition, or statistical modeling to biological data.
• Experience with de novo sequencing, computational mass spectrometry, high-performance computing, or open-source software development.
• Familiarity with mass spectrometry data formats and reproducible, well-documented software tools.

Application notes

• Applications are submitted through the Florida State University Faculty Careers site.
• The position is advertised open until filled.

Additional conditions