Metabolomics Data Scientist & Integrative Analyst

Georgetown University; Science Hill (KY); On-site; USD 44,022 - 73,406; Full time

Job summary

Georgetown University’s Metabolomics Shared Resource (MSR) seeks a Bioinformatics Scientist to design metabolomics experiments and lead data analysis across multiple projects. The role integrates transcriptomics, proteomics, and metabolomics with mass spectrometry and NMR data, strengthening informatics for federally funded studies.

Responsibilities include MS data handling, pipeline development, client communication, and cross-team collaboration to enable robust experimental design and

Qualifications

• MS in bioinformatics, biostatistics, computational biology, or related field.
• Experience integrating multi-dimensional omics data.
• Programming skills in Java, C++, Perl; experience with R/BioConductor.
• Proven track record of supporting omics-based research.
• Strong written and oral communication skills.
• Ability to prioritize, multi-task in a fast-paced environment.
• Ability to work independently in a team.

Responsibilities

• Operate mass spectrometry-related operations including sample prep and data acquisition.
• Process raw LC-MS and GC-MS data with a defined analytical platform for statistical analysis.
• Perform advanced bioinformatic and statistical analyses of metabolomics datasets.
• Follow-up with core facility clients, refine graphics, and input into future experiment design.
• Develop and maintain an integrated analytical pipeline for processing raw data.
• Keep track of developments and implement relevant knowledge/technologies to advance the platform.

Skills

Java

C++

Perl

R

Education

MS in bioinformatics/biostatistics/computational biology

Tools

BioConductor

Job description

Georgetown University’s Metabolomics Shared Resource (MSR) seeks a Bioinformatics Scientist to design metabolomics experiments and lead data analysis across multiple projects. The role integrates transcriptomics, proteomics, and metabolomics with mass spectrometry and NMR data, strengthening informatics for federally funded studies.

Responsibilities include MS data handling, pipeline development, client communication, and cross-team collaboration to enable robust experimental design and