Scientific Lead, Molecular Characterization

Position Summary

The Scientific Lead position would be the principal architect for spatial biology and long-read genomics within the Molecular Characterization team in Discovery Technologies, responsible for developing, optimizing, and scaling these platforms in support of Oncology drug discovery  Molecular Characterization team sits at the intersection of genomics, proteomics, and emerging molecular technologies, providing cutting‑edge platform capabilities across Lilly's discovery portfolio. The central mandate is invention: defining what next‑generation spatial and long‑read platforms can do, and building the infrastructure to realize their full potential within the group.

• Design and lead the development of spatial transcriptomics and multi‑modal spatial workflows, encompassing tissue optimization, library construction, and end‑to‑end data generation using platforms such as Visium HD, Cos Mx, and Xenium.
• Drive the integration of spatial transcriptomics with complementary modalities, including spatial proteomics (e.g., Cos Mx protein panels, CODEX/Pheno Cycler) and single‑cell data, to generate comprehensive tissue‑level molecular maps.
• Establish and continuously improve tissue processing standards for diverse sample types relevant to Oncology (FFPE, fresh‑frozen, bone marrow, cryosections), with a focus on maximizing data quality from challenging or low‑input specimens.
• Develop image analysis pipelines in collaboration with discovery informatics, including tissue segmentation, cell type deconvolution, and morphological co‑registration using tools such as QuPath, HALO, or equivalent platforms.
• Evaluate emerging spatial technologies on an ongoing basis and translate promising platforms into internal capabilities through systematic feasibility assessment and implementation planning.
• Scale long‑read sequencing workflows (Pac Bio and Oxford Nanopore) for applications including structural variant detection, isoform characterization, epigenetic sequencing (e.g., methylation, Fiber‑seq), and custom targeted approaches.
• Contribute to automation of NGS and spatial library preparation protocols in collaboration with automation and histology specialists.
• Develop custom targeted panels and probe/index designs for the spatial platforms to address specific genomic and transcriptomic questions posed by Oncology project teams.
• Establish protocol QC frameworks and performance benchmarks to ensure data integrity across all high‑throughput molecular platforms.
• Apply and adapt spatial data analysis tools (e.g., Seurat, Squidpy, Scanpy) to process, visualize, and interpret spatial transcriptomics datasets in close partnership with the discovery informatics team.
• Work with bioinformaticians to design and evaluate computational workflows for long‑read data, including isoform quantification, structural variant calling, and base modification detection.
• Serve as the internal scientific authority on spatial and long‑read sequencing platforms; advise Oncology project teams on platform selection, experimental design, and interpretation.
• Provide mentorship and hands‑on coaching to junior scientists; build a team culture grounded in technical rigor, creative problem‑solving, and collaborative execution.
• Establish and manage relationships with academic collaborators, technology vendors, and contract research organizations to stay at the leading edge of platform development.
• Prepare and deliver scientific presentations, publications, and study reports to internal and external audiences.
• Maintain up‑to‑date knowledge of the scientific landscape in spatial biology, long‑read genomics, and multi‑omics; proactively share emerging opportunities with the broader team.

• PhD in molecular biology, genomics, genetics, or a closely related discipline, with 3+ years of hands‑on research or platform development experience in an academic or industry setting.

• Deep hands‑on expertise in spatial transcriptomics platforms (Visium HD, Cos Mx, Xenium, or equivalent), from tissue section preparation through library construction and QC.
• Demonstrated experience with tissue…