Sr. Scientist- Chemoproteomics Platform (CBT)
About The Position
The Department of Chemical Biology and Therapeutics is seeking a Senior Scientist to establish and lead a chemoproteomics platform supporting target identification, ligandability mapping, and mechanism-of-action studies across pediatric disease programs. This position sits within the CBT Collaborative Centers, where the platform will serve investigators across the department and institution while also executing platform-scale discovery projects of its own. The ideal candidate will have a background in chemical biology, analytical chemistry, or a related field, with deep hands-on experience in mass spectrometry-based chemical proteomics. The successful candidate will design and validate workflows from the ground up, direct a research associate, and serve as the scientific point of contact for chemoproteomic projects across the department.
Requirements
- Bachelor's degree in relevant scientific area is required
- Ten (10) years relevant work experience is required
- Eight (8) years of relevant work experience is required with a Master's degree
- Five (5) years of relevant work experience is required with a PhD
- Deep hands-on experience in mass spectrometry-based chemical proteomics
- Design and validate workflows from the ground up
- Direct a research associate
- Serve as the scientific point of contact for chemoproteomic projects across the department
Nice To Haves
- Activity-based protein profiling (ABPP)
- Covalent probe development
- Automated sample preparation using liquid handling platforms (e.g., Agilent Bravo, Thermo KingFisher)
- Data-independent acquisition (DIA) proteomics data analysis utilizing tools such as DIA-NN, Spectronaut, or FragPipe
- Developing custom proteomics software, including peptide-spectrum matching algorithms, spectral prediction tools, or machine learning applications for proteomics
- Orthogonal structural and interaction proteomics approaches, including crosslinking mass spectrometry and affinity purification mass spectrometry (AP-MS)
- Generating experimental datasets to support machine learning-driven target discovery
- Leading platform-scale discovery efforts
- Developing structured compound-protein interaction datasets that integrate with data science, artificial intelligence, and predictive modeling infrastructures
Responsibilities
- Establish and validate high-throughput chemoproteomic workflows, including SP3 cleanup, enzymatic digestion, and cartridge-based peptide and protein enrichment on automated liquid handling instrumentation
- Develop and execute reactivity profiling, whole-proteome, and affinity-based chemoproteomic assays in disease-relevant cell models
- Operate high-resolution mass spectrometry instrumentation and perform primary DIA data analysis using DIA-NN, Spectronaut, FragPipe, or equivalent
- Build and maintain analysis pipelines and structured databases for compound–protein interaction and ligandability data; partner with data science colleagues on predictive modeling
- Design and direct platform-scale discovery projects, including ligandability mapping across pediatric disease models and conditional profiling across disease-relevant genotypes
- Consult with investigators across departments on experimental design, execution, and interpretation of chemoproteomic studies
- Supervise a research associate; document workflows as SOPs and cross-train CBT personnel
- Author methods and resource publications; present platform capabilities internally and at scientific meetings
Benefits
- St. Jude is an Equal Opportunity Employer
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What This Job Offers
Job Type
Full-time
Career Level
Senior
