Principal Scientist, Spatial Omics

Jobtailor; Massachusetts; On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor is seeking a Senior Scientist to lead the development, optimization, and validation of spatial genomics and molecular profiling assays for neuroscience, oncology, and immunology programs. You will design workflows, manage lab infrastructure, collaborate with therapeutic teams, and translate multiomics readouts into actionable biology while communicating findings clearly.

The role requires a proven track record of high-impact work, strong publications, and the ability to guide external

Qualifications

• 6+ years in biotech/pharma industry or academic staff scientist roles with technical, project-facing responsibilities.
• Proven ability to deliver high-impact scientific outputs evidenced by publications and presentations.

Responsibilities

• Lead development, optimization, and validation of spatial genomics and molecular profiling assays.
• Design and execute workflows including tissue processing, immunohistochemistry, in situ hybridization, microscopy, and sequencing.
• Establish and refine new molecular assays and troubleshoot workflows.
• Build and scale lab infrastructure and plan instrumentation.
• Manage CROs and external partners to ensure high-quality data and timely deliverables.
• Collaborate with therapeutic-area teams to translate multiomics data into biological insights.
• Support data workflows with mapping, QC, and analytical handoffs to computational teams.

Skills

Spatial omics expertise

Multimodal data analysis

Scientific communication

Tools

Python

R

Job description

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.

Requirements

• 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.