Data Analyst for Mass Spectrometry Proteomics

PROGRAM DESCRIPTION

The Cancer Research Technology Program (CRTP) develops and implements emerging technology, cancer biology expertise and research capabilities to accomplish NCI research objectives. The CRTP is an outward-facing, multi-disciplinary hub purposed to enable the external cancer research community and provides dedicated support to NCI's intramural Center for Cancer Research (CCR). The dedicated units provide expertise in electron microscopy, protein characterization, mass spectrometry, protein expression, optical microscopy, and genomics. These research efforts are an integral part of CCR at the Frederick National Laboratory for Cancer Research (FNLCR), where CRTP scientists work collaboratively with intramural NCI investigators to provide research technologies and expertise.

KEY ROLES/RESPONSIBILITIES

• Analyze data produced by a high throughput mass spectrometry proteomics laboratory
• Interact productively and constructively with scientists performing mass spectrometry proteomics experiments
• Produce detailed findings, figures, and presentations for discussion with mass spectrometry scientists
• Comprehensive data analysis using variety of different methods and software, such as Proteome Discoverer, Spectronaut, Skyline, and etc.
• Develop new proteomics and data analytical methods
• Summarize and present key results at project reviews meetings and contribute and write manuscripts for per review publications

BASIC QUALIFICATIONS

To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

• Possession of Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in biochemistry, analytical chemistry, or other related discipline or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency
• In addition to the education requirement, a minimum of five (5) years of progressively responsible experience
• More than three years of MS-based data analysis experience in mass spectrometry proteomics
• Solid understanding of programs used to analyze mass spectrometry proteomics data
• Strong theoretical understanding of both global and targeted mass spectrometry proteomics and bioinformatic methods to interpret and validate findings
• Experience using several of the listed MS software suites for proteomics workflow analysis, such as Xcalibur, free style, Proteome Discoverer, MSGF+, Spectronaut, Skyline, etc.
• Ability to obtain and maintain a security clearance

PREFERRED QUALIFICATIONS

Candidates with these desired skills will be given preferential consideration:

• M.S. degree in biochemistry, analytical chemistry or other related discipline from an accredited college or university according to the Council for Higher Education Accreditation
• 2 years of related post graduate MS-based proteomic experience Data Analyst II
• 5-years for Data Analyst III
• Experience with multivariate analysis techniques such as Singular Value Decomposition (SVD) and cluster analysis
• Experience with programming languages or platforms such as Python, R, or Matlab
• Experience analyzing global and/or targeted proteomic data
• Experience with producing and interpreting proteomic graphical displays, such as heat maps and volcano plots