Lead, Spatial Biology & Multi-Omics Platforms

BioSpace; New York (NY); On-site; USD 138,000 - 224,000; Full time

Benefits offered by this job

Bonus eligibility

401(k) plan

Health, dental, vision benefits

Job summary

Lilly is seeking a Scientific Lead to be the principal architect for spatial biology within the Molecular Characterization team, driving development, optimization, and scaling of spatial platforms in support of Oncology drug discovery. You will shape end-to-end workflows across spatial transcriptomics and multimodal data.

Collaborating with discovery informatics, you will establish tissue processing standards, build analysis pipelines, and mentor junior scientists while advancing platform

Qualifications

• PhD in molecular biology, genomics, genetics, or a closely related discipline with 3+ years of hands-on research or platform development experience.
• Deep expertise in spatial transcriptomics platforms (Visium HD, CosMx, Xenium) and tissue handling across FFPE, fresh-frozen, and other samples.
• Strong ability to communicate complex results to technical and non-technical stakeholders and to work in a cross-functional team.

Responsibilities

• Design and lead spatial transcriptomics and multi-modal workflows end-to-end.
• Integrate spatial data with proteomics and single-cell data to map tissue biology.
• Develop image analysis pipelines with tools like QuPath/HALO.
• Mentor junior scientists and build a collaborative culture.
• Collaborate with academic partners and vendors to advance platforms.

Skills

Spatial biology

Single-cell data

Python

R

Imaging analysis

Mentorship

Education

PhD in molecular biology/genomics

Tools

QuPath

HALO

Seurat

Squidpy

Scanpy

CosMx

Visium HD

Xenium

CODEX

Job description

Lilly is seeking a Scientific Lead to be the principal architect for spatial biology within the Molecular Characterization team, driving development, optimization, and scaling of spatial platforms in support of Oncology drug discovery. You will shape end-to-end workflows across spatial transcriptomics and multimodal data.

Collaborating with discovery informatics, you will establish tissue processing standards, build analysis pipelines, and mentor junior scientists while advancing platform