Postdoctoral Scientist — Mass Spectrometry Proteomics

Purpose of the Job

This is a hands-on, fixed-term postdoctoral position focused on developing, implementing, and applying LC-MS–based proteomics and phosphoproteomics workflows to support biomarker research and the mechanistic characterization of metabolic disease biology.

Key Responsibilities

• Method Development & Platform Establishment — Develop, optimize, and validate LC-MS–based proteomics and phosphoproteomics workflows on high-resolution mass spectrometry instrumentation, including sample preparation, peptide and phosphopeptide enrichment (e.g., TiO₂, IMAC), and data-independent acquisition (DIA) methods optimized for preclinical sample types. Establish robust, reproducible, well-documented analytical pipelines and bring new capabilities online within the group.
• Quantitative Proteomics & Phosphoproteomics Execution — Implement global (bottom-up) proteomics and phosphoproteomics on preclinical samples with high data quality, reproducibility, and appropriate quality control. Maintain instrument readiness and performance through routine care, calibration, and troubleshooting.
• Data Analysis, Interpretation & Visualization — Process, analyze, and interpret large, multi-dimensional proteomic and phosphoproteomics datasets. Apply appropriate statistical methods, generate clear and insightful data visualizations to identify pathway-level and mechanistic signals, and translate results into actionable conclusions for project teams and decision-making forums.
• Scientific Documentation & Data Integrity — Maintain meticulous experimental records and thorough, prompt electronic lab notebook entries. Ensure clear traceability, data integrity, and compliance with group protocols, and document methods, QA/QC records, and standard operating procedures.
• Collaboration & Communication — Work as a proactive, team-oriented scientist within a highly collaborative research environment. Partner with colleagues operating complementary analytical platforms, coordinate on shared samples and workflows, and communicate findings through presentations, written summaries, and peer-reviewed publications, with opportunities for scientific exchange across sites and fields.
• Continuous Improvement & Innovation — Champion standardization, automation, and process improvement to enhance throughput, reproducibility, and data quality. Evaluate and adopt new methodologies and tools — including artificial intelligence (AI) tools — to strengthen laboratory workflows and data analysis.

Basic Requirements

• PhD in Biochemistry, Analytical Chemistry, Molecular Biology, or a closely related life sciences field (recently completed or nearing completion).
• Demonstrated hands-on expertise in LC-MS/MS–based proteomics and/or phosphoproteomics assay development and implementation.

Additional Skills / Preferences

• Hands-on experience with high-resolution mass spectrometry platforms and data-independent acquisition (DIA) methods.
• Experience developing or applying phosphopeptide enrichment methods (e.g., TiO₂, IMAC).
• Familiarity with proximity-labeling proteomics (e.g., TurboID, BioID), or strong interest and skills for developing such methodology.
• Experience with proteomics data-analysis and informatics tools (e.g., Spectronaut, DIA-NN, MaxQuant, Perseus) and with statistical and visualization software (e.g., GraphPad Prism, JMP, R/Python).
• Experience preparing preclinical and tissue samples for MS-based analysis.
• Familiarity with complementary non-MS proteomics or biomarker platforms (e.g., Olink, immunoassays) and an understanding of orthogonal validation across technologies.
• Interest in metabolic and cardiometabolic disease biology.
• Familiarity with laboratory automation and liquid-handling systems.