Postdoctoral Scientist — Mass Spectrometry Proteomics

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life‑changing medicines, strengthen how health is understood and managed, and support the communities we serve.

This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

At Lilly, we serve an extraordinary purpose. We make a difference for people around the world by discovering, developing, and delivering medicines that help them live longer, healthier, more active lives. Within Cardiometabolic Research (CMR), our biomarker and translation laboratories generate high‑quality molecular data across preclinical and clinical samples to characterize disease biology, support target and biomarker discovery, and inform the safety, efficacy, and pharmacology of therapeutic candidates from discovery through clinical development.

We are expanding our internal analytical capabilities and are seeking a highly motivated Postdoctoral Scientist to help establish and apply mass spectrometry (MS)–based proteomics within the group.

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. The successful candidate will take ownership of a high‑resolution mass spectrometry platform, establish robust and reproducible quantitative proteomics capabilities within CMR, and work at the interface of analytical method development, preclinical biology, and translational biomarker science.

The role offers hands‑on ownership of new analytical capabilities, close collaboration across cross‑functional and cross‑site scientific teams, and the opportunity to publish in peer‑reviewed journals, with an expectation of one to two publications over the term. It provides high‑impact scientific exposure and skill development at the intersection of quantitative proteomics, phosphoproteomics, and translational biomarker science.

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 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…