Scientific Analyst

Research, Innovation & Impact (RII) invites applications for an Scientific Analyst (Scientific Analyst II) for its Analytical and Biological Mass Spectrometry (ABMS) Core. The ABMS Core provides a variety of mass spectrometry services in a well-equipped University-wide facility. The successful candidate will be primarily responsible for small molecule analysis and quantitation to both University of Arizona and external researchers and providing basic bioinformatics for proteomics and metabolomics research projects. The successful candidate will be involved in consulting with researchers along with the core director/manager, and expected to participate in sample preparation, LC-MS/MS analysis, data analysis, interpretation and bioinformatics. This position will report to the Manager of the facility. The ideal candidate for this position will model the highest degree of professionalism as demonstrated in their work ethic and interpersonal engagement with colleagues. They will be a self-starter who takes initiative to master new skills and content areas to continually improve in the position. We are looking for someone who can do well in a team environment, communicate effectively and work independently on assigned tasks to advance the larger research mission of the University. Research, Innovation & Impact (RII) supports world-class research and discovery by University of Arizona faculty, staff, and students with particular attention to the University's land-grant mission of service to the State of Arizona. RII enables the research success of University of Arizona faculty through its support of University research centers, institutes, museums, and core facilities; provision of research development, compliance and safety services; and strategic external partnerships. The University of Arizona seeks to build on its great strengths in interdisciplinary research by expanding its fundraising program dedicated to securing philanthropic support for interdisciplinary campus-wide initiatives that cross multiple academic interests.

Please note, RII Core Facilities is also recruiting for Scientist, Research Data (Research Data Scientist III) via req19456. Please note minimum requirements when applying.

Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to UA recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please visit talent.arizona.edu

Duties & responsibilities:

• Analyzes small molecules using Bruker solariX FTICR, QExacitve Plus, Orbitrap Exploris 480, and an ALTIS triple-quadrupole mass spectrometers.
• Data processing and bioinformatics analysis of Proteomic, Metabolomics and Small Molecule quantitation projects with vender specific proteomic data analysis software platforms, as well as third-party software platforms such as Proteome Discoverer, Compound Discoverer, TraceFinder, Lipid Search, MASCOT, Max Quant, Byonic, Skyline, and Scaffold. Knowledge and experience with programming platforms such as R (R Studio) and other informatics tools such as MS Stats is a plus.
• Receives direction from the Manager to address major research goals of the lab. Uses knowledge and technical expertise in sample preparation, separation, and analysis by mass spectrometry and data processing to complete research projects.
• Manages data including loading and querying data from database systems, downloading -omics data from public repositories, and transforming data to the necessary formats.
• Detail-oriented with the ability to capture and record complex scientific data accurately and reliably.
• Attends weekly team meetings to discuss results, plan experiments to ensure that projects support current team goals in a dynamic environment.
• Additional duties may be assigned.

Knowledge, skills and abilities:

• Excellent interpersonal and oral/written skills to interact with a diverse group of graduate and undergraduate students, staff, faculty, and visitors.
• Basic understanding of the theory and practice of mass spectrometry.
• Strong computer skills with the concepts and practices of the field of Bioinformatics as it relates to mass spectrometry and experience with MS-based Omics data analysis systems and software.
• Knowledge of MS software (Thermo, Bruker), database search and evaluation software (MASCOT, MaxQuant, Perseus, Proteome Discoverer, PEAKS, Spectronaut, Scaffold), and associated bioinformatics tools (R, Python) is advantageous.
• Knowledge of MS software and evaluation software (Proteome Discoverer, PEAKS, MASCOT, and Scaffold) and associated bioinformatics tools (R, Python) is advantageous.
• Excellent knowledge of written and spoken English.
• Background and work knowledge in algorithms, scientific computing, and machine learning or statistics, Familiar with R software, C/C++, Java, Perl, python, and the Unix (Linux) environment,

• Bachelor’s degree in Biology, Chemistry, Biochemistry, Analytical Sciences with strong quantitative training, biostatistics with concentration in bioinformatics Computer Science, Electric Engineering, Computational biology, or Bioinformatics, or relevant fields (e.g. Biology, Chemistry, Biochemistry, Analytical Sciences with strong quantitative training, biostatistics with concentration in bioinformatics).
• 3+ years in research environment. 

• Experiences in manipulating, analyzing, and annotating very large -omics data sets, both in exploratory and pipelined fashions, will be a plus.
  
• Experience in small molecule characterization and quantitation using Mass Spectrometry is a plus but not required.
  
• Experience in R programming is a plus.
  
• Ph.D. or equivalent degree in a field related to mass spectrometry or analytical sciences and 0-2 years of related research experience; OR Masters' degree and 1-3 or more years of related research experience; OR Bachelors of Science and 3-5 or more years related research experience.