Website Aequor Technologies LLC
Aequor Technologies LLC
Company : Aequor Technologies LLC
The Spatial Omics lab, embedded within Genentech's Pathology Department, is part of the Research and Early Development (gRED) Organization. We are committed to generating high-quality spatial proteomics and transcriptomics data at scale to drive Client 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.
BA or BS with 5-10 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