Postdoctoral Research Associate in Bioinformatics

** What You Will Do*
* ** Overview*
* ** The Biochemistry and Biotechnology Group (B-TEK) in the Bioscience Division is seeking candidates interested in utilizing and developing proteomics, metabolomics, and/or lipidomics pipelines to deeply characterize a variety of sample types, coupled with bioinformatics utilizing data generated from high resolution platforms. Candidates skilled in handling large scale proteomics, metabolomics or lipidomics data are encouraged to apply. Candidates should be able to process data both quantitatively and qualitatively, and ideally have experience developing targeted, quantitative workflows.

Experience implementing quality control standards for metabolomics is desired for this position; this includes the use of reference, quantitative, process control, and system performance standards. An ideal candidate will be able to work independently supporting multiple projects all of which have a National Security application. This includes, but is not limited to, developing sample preparation workflows for biofluids including saliva, urine, and/or blood, developing targeted methods for monitoring select biomarker panels including proteins and small molecules, and characterizing the in vitro, molecular response following exposure to toxicants of concern.

Applicants will have access to state-of-the-art high resolution mass spectrometers including multiple Orbitrap platforms, as well as access to state-of-the-art computing resources including the use of High Performance Computing. You will be expected to publish results in high-impact peer-reviewed journals and present your work  Alamos National Laboratory is a multidisciplinary, collaborative environment and we expect our Postdoctoral Research Associates to exhibit this same esprit de corps.*
* ** What You Need*
* Minimum

Job Requirements:

+ Well-established record of publications in peer-reviewed journals

+ Communication skills evidenced by reports, publications, and oral presentations at conferences

+ Demonstrated experience using bioinformatics tools and developing computational workflows

+ Experience working with high-dimensional and complex datasets

+ Fundamental understanding of mass spectrometry with a focus on
-omics and their pipelines

+ Hands on experience in regards to sample preparation, data acquisition, and data analysis

+ Ability to obtain a Q clearance, which requires US Citizenship

Education:

A Ph.D. in a STEM field completed within the last five years or to be completed by commencement of appointment.

Desired

Qualifications:

+ Experience handling/processing a wide range of proteomic/metabolomic data such as DDA, DIA,de-novo, top-down, etc., including data from large scale studies

+ Experience developing quantitative methods for small molecule and protein analysis

+ Ability to implement elements of quality control to account for background, extractionefficiency, quantitative precision, reproducible liquid chromatography separations, and standards/sample pools for feature identification

+ Ability to build in-house metabolite libraries and utilize publicly available resources is preferred(e.g., NIST and/or MzCloud)

+ Familiarity applying machine learning and statistics to develop robust biomarker panels

+ Familiarity with harmonizing different
-omics data sets for pathway analysis and correlativeStudies

+ Knowledge of mass spectrometry
-omics for biomarker discovery using proteomics,metabolomics, and/or lipidomics

+

Experience with the operation, maintenance, and troubleshooting of various massspectrometers, including Thermo Fisher Orbitrap platforms

+ Familiarity using software packages such as Proteome Discoverer, Compound Discoverer, or Trace finder

+ Demonstrated experience using bioinformatics tools and developing computational workflows

+ Strong background in multivariate statistical analysis and predictive modeling

+ Proficiency in data visualization and communicating analytical results

+ Experience conducting network analysis (e.g., relational or graph-based data)

+ Expertise in machine learning and software development

+ Demonstrated ability to translate analytical findings into actionable insights

+ Proficient in at least…