Principal Scientist, Spatial Omics

Responsibilities

• Leading the development, optimization, and validation of spatial genomics and molecular profiling assays to support neuroscience, oncology, and immunology programs.
• Designing and executing experimental workflows involving tissue processing, immunohistochemistry, in situ hybridization, microscopy, high-resolution slide imaging and sequencing.
• Establishing and refining new molecular assays, including troubleshooting, workflow development, and technical feasibility assessments.
• Building and scaling laboratory infrastructure, including lab setup, instrumentation planning, and operational readiness.
• Managing CROs and external partners, ensuring high-quality data generation, timeline alignment, and technical deliverables.
• Collaborating closely with therapeutic area teams to translate multiomics and spatial readouts into actionable biological insights.
• Contributing to data workflows by supporting early-stage data mapping, QC frameworks, and analytical handoffs to computational teams.

• Minimum of 6 years of biotech or pharmaceutical industry experience is required.
• Academic staff scientist experience in deeply technical, matrixed, project facing roles will be considered.
• Strong track record of high-impact scientific deliverables as evidenced by publications, presentations, and recognition within the scientific community.
• Deep, technical spatial omics expertise is required, including understanding of end-to-end workflows, methods limitations, and mitigation strategies.
• Excellent written communication, verbal communication, and oral presentation skills are required.
• Experience with Multiomic Datasets is required.
• Demonstrated ability to work across disciplines and functional areas is required.
• Ability to apply novel approaches to address complex biology questions, as evidenced through strong peer-reviewed publications is required.
• Proficiency in programming languages such as R or Python is preferred.
• In vitro cell culture and genomics library design experience is preferred.
• Experience as a problem solver, and team collaborator able to facilitate understanding between biologists and data scientists is preferred.
• Ability to manage multiple projects and meet deadlines is preferred.
• Experience working with and/or guiding external collaborators in industry or academia is preferred.