Note:
Fully Onsite
The manager had a approval from the leadership to match the previous rate of ***/hr*** (You may submit candidates with *** final bill rate of ***)
In this vital role the scientist will be responsible for analytical characterization of pre-clinical biotherapeutic monoclonal antibody (mAb) drug candidates with emphasis on sample preparation, liquid chromatography, mass spectrometry and statistical data processing. The ideal candidate should be able to perform one or more of the following.
Creation of mass spectrometry software analysis tools for data post-processing for reporting and data aggregation. Utilization of Claude Code, Codex, Python and other modern AI tools.
Sample preparation, including reduction and alkylation of disulfide bonds, enzymatic digestion of mAb. Liquid chromatography - mass spectrometry (LC-MS/MS) peptide mapping analysis and data processing to identify and quantify the PTMs.
Physical automation of the sample preparation, including digestion for peptide mapping on Hamilton liquid handler.
LC-UV-MS analysis of intact mAbs, including mass deconvolution and identification on the mAbs, their forms and fragments.
This position is also responsible for providing scientific results that support the generation of regulatory submissions, patents, and publications and exploring and evaluating emerging technologies relevant to MS-based characterization of therapeutic proteins.
Basic Qualifications:
Doctorate degree PhD OR
Master s degree and OR
Bachelor s degree and 2 years of experience
Preferred Qualifications:
Ph.D. or Master s or Bachelor s in analytical chemistry, biochemistry, computer sciences, bioinformatics.
Expertise with modern AI and programming tools, including Claude Code, Codex, Databricks, Python.
Familiarity with mass spectrometry of proteins, peptides and glycans.
Familiarity with mass spectrometry data processing software packages (BioPharma Finder, Skyline, Byonic, Byos, Expressionist).
Expertise with statistical analysis software.
Laboratory work skills, including manual and automated sample preparation.
Excellent written and oral communication skills for the timely documentation, presentation, and discussion of scientific results in a fast-paced, multi-disciplinary environment.