Overview In this Senior Scientist role, you will advance biomarker discovery and validation in neurodegenerative disease research by developing and applying mass spectrometry-based assays for preclinical drug development. You will contribute to translational biomarker work within multidisciplinary discovery teams, shaping strategies that connect early discovery to clinical translation. You'll tackle complex biomarker discovery problems, leverage omics approaches, and drive robust, reproducible data to support new therapeutics. This role offers the chance to impact patient stratification and translational science at scale.
Compensation / Benefits- medical, dental, vision insurance for employee and family
- retirement benefits including 401(k)
- paid holidays, vacation, compassionate and sick days
Responsibilities- Develop and apply MS-based assays for preclinical biomarker discovery and validation
- Perform unbiased quantitative discovery analyses using high-resolution LC-MS (DDA, DIA)
- Develop and qualify LC-MS/MS-based quantitative assays
- Collaborate with disease-area biology experts and translational medicine teams
- Coordinate assay transfer to internal groups and external CROs
- Engage in external collaborations with academia and disease consortia
- Train and support colleagues in bioanalytical techniques
- Interpret data with bioinformatic and statistical workflows to support translational research
Key requirements- Proven experience with MS-based biomarker discovery in preclinical models and human biospecimens
- Hands-on experience with unbiased discovery analyses (DDA, DIA)
- Development and qualification of LC-MS/MS quantitative assays
- Proficiency with bioinformatic/statistical tools (e.g., MetaboAnalyst, Skyline, MaxQuant, Proteome Discoverer, Spectronaut)
- Experience with automated sample processing and prefractionation workflows
- Strong collaboration with biology and translational teams
- Excellent communication skills for cross-functional collaboration
- Self-motivated with ability to generate robust data quickly
- strong interpersonal & stakeholder management
- excellent written and oral communication
- collaborative mindset
- Mass Spectrometry (MS)
- Metabolomics, Proteomics, or Lipidomics
- LC-MS/MS (DDA, DIA)