Scientist - III (Senior) - PA/NJ Only - Talent Software Services, Inc.

Scientist III, Mass Spectrometry/Analyst, Discovery Neuroscience
The Department of Neuroscience is seeking a junior level bioanalytical scientist to join the MRL Discovery organization in West Point, PA.

In this position, you will be responsible for developing mass spectrometry-based assays for use in preclinical drug development with a focus on Neurodegenerative diseases with high unmet medical needs. Appointees will work within multidisciplinary teams focused on discovery of Client drug targets and development of biomarkers for clinical translation supporting new therapeutics. Applicants should have expertise in development of quantitative mass spectrometry assays to support follow-on validation of discovery data for biomarker development. If you are driven and open to learning in a team environment, come join our team.

Quals--
" PhD with industry or academic experience or MSc with at least 2-3 years of industry experience

Qualifications:
" Hands-on experience in the development and technical validation of quantitative LC-MS/MS assays using MRM/PRM acquisition
" Experience in data analyses covering relative to absolute quantification
" Expertise in sample processing and prefractionation across cell, tissue and fluid specimens
" Experienced in using automated liquid handling platforms
" Experience working collaboratively within cross-functional teams
" Self-motivated and resourceful with a demonstrated ability to generate robust and reproducible data in a timely manner
" Well-developed oral and written communication skills

Desired Competencies (Preferred / not required):
" Hands-on experience performing unbiased, quantitative discovery analyses with high resolution LC-MS instrumentation (i.e. DDA, DIA approaches using label-free or TMT quantification)
" Proficiency in data processing and bioinformatic and statistical workflows (i.e. proficiency with MetaboAnalyst, Skyline, MaxQuant, Proteome Discoverer, EncyclopeDIA or similar)
" Mass spectrometry-based targeted quantitative lipid analyses or discovery lipidomics