Bioinformatics Analyst (Mass Spectrometry Proteomics)

October 8, 2023
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Bioinformatics Analyst (Mass Spectrometry Proteomics)

Job ID: req3672
Employee Type: exempt full-time
Division: Cancer Research Technology Program
Facility: Frederick: ATRF
Location: 8560 Progress Dr, Frederick, MD 21701 USA

The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.

Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.

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. A major focus of the CRTP is the NCI RAS Initiative with the goal to discover new therapeutic interventions against RAS-driven cancers. In addition, the CRTP hosts the Nanotechnology Characterization Laboratory (NCL) which performs and standardizes preclinical efficacy and toxicity testing of nanoparticles intended for cancer therapeutics and diagnostics, and the Antibody Characterization Lab (ACL) which characterizes monoclonal antibodies or other renewable affinity binding reagents for use in cancer related research. CRTP scientists also work collaboratively with intramural NCI investigators to provide research technologies and expertise.

KEY ROLES/RESPONSIBILITIES
  • Provide bioinformatics analysis using R or Python on primarily processed data generated by proteomic data-processing software, such as Proteome Discoverer, FragPipe, Spectronaut, Skyline, etc.
  • Interact productively and constructively with scientists performing mass spectrometry proteomics experiments
  • Produce detailed findings, figures, and presentations for discussion with mass spectrometry scientists
  • Develop data analysis tool/script/application as needed
  • Summarize and present key results at project review meetings and contribute and write manuscripts for peer review publications

BASIC QUALIFICATIONS

To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
  • Possession of a Bachelor's degree in biochemistry, analytical chemistry or other related discipline from an accredited college or university according to the Council for Higher Education Accreditation (CHEA). Additional qualifying experience may be substituted for the required education. Foreign degrees must be evaluated for U.S. equivalency
  • In addition to the education requirement, a of minimum of five (5) years of related experience is required
  • 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 performing bioinformatics analysis using R or Python on primarily processed data produced by proteomic data-processing software
  • Excellent verbal communication skills
  • Must be able to obtain and maintain a clearance

PREFERRED QUALIFICATIONS

Candidates with these desired skills will be given preferential consideration:
  • Master's or Ph.D. degree in biochemistry, analytical chemistry or other related discipline from an accredited college or university according to the Council for Higher Education Accreditation (CHEA). Additional qualifying experience may be substituted for the required education. Foreign degrees must be evaluated for U.S. equivalency
  • 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 proteomics data
  • Experience with producing and interpreting proteomic graphical displays, such as heat maps and volcano plots
  • Experience with machine learning


Commitment to Diversity
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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