Postdoctoral Scientist — Mass Spectrometry Proteomics
Eli Lilly and Company · Indianapolis, IN · Today
Analyst$58k–$123k/yrFull-time
Key Responsibilities
- 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.
- 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 phosphoproteomic 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.
- 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.
- 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.