Scientist I

The Spatial Omics lab, embedded within the Pathology Department, is part of the Research and Early Development Organization. We are committed to generating high-quality spatial proteomics and transcriptomics data at scale to drive novel biological insights from pathological tissue samples. Our work directly supports early and late-stage research, translational efforts, and foundational model generation across various therapeutic areas at Genentech. We provide end-to-end workflows in close collaboration with the Digital Pathology Image Analysis team.
The Role
We are seeking a highly motivated and independent Scientist to join our Spatial Omics team. The successful candidate will be responsible for planning, executing, and reporting complex Spatial Proteomics and/or Spatial Transcriptomics experiments.

Key Responsibilities:

• Independently design, plan, conduct, and interpret spatial omics studies with minimal supervision.
• Execute complex experiments utilizing cutting-edge spatial technologies, including Xenium, Visium, and COMET.
• Interprets experimental data and, as a result, modifies experimental design appropriately with minimal guidance from investigators, pathologists, or lab management
• Present progress and results at internal and external team meetings.
• Collaborate effectively in a highly multidisciplinary environment; Ensure tight collaboration with partnering labs to maintain seamless end-to-end workflows.
• Maintains scientific records, evaluates experimental data, draws conclusions, and coordinates his/her laboratory work with the objectives of the team
• Adheres to SO lab WKDs and study timelines, reporting to the lab manager
• Independently researches internal and external sources to guide study design and experimental layout
• Execution of established image and data management processes like image alignment, image conversion, etc.

Requirements/Preferred Qualifications

• BA or BS with 0-5 years of experience in a relevant scientific field
• Specific skills and experience are required in one or more of the following:
• Hands-on experience with spatial omics platforms, including 10x Genomics Xenium, 10x Genomics Visium, and/or COMET technology.
• Experience with scanning of fluorescent and histological slides
• Quantitative image analysis and image processing, preferably with experience in machine learning, is a plus
• Demonstrated ability to handle multiple projects simultaneously, work successfully in teams, and communicate clearly both verbally and in writing.
• Ability to work effectively in a fast-paced and dynamic environment, with a proactive, problem-solving, and independent attitude.

Pay Rate Range: $30-42/hr depending on experience