US_Scientist I_CO

Overview

The Spatial Omics lab, embedded within ***’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 ***.

We provide end-to-end workflows in close collaboration with the Digital Pathology Image Analysis team.

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.

• 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.
• Interpret experimental data and, as a result, modify 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.
• Maintain scientific records, evaluate experimental data, draw conclusions, and coordinate laboratory work with the objectives of the team.
• Adhere to SO lab WKDs and study timelines, reporting to the lab manager.
• Independently research internal and external sources to guide study design and experimental layout.
• Execute 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

• 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.

• Phone screen of promising candidates (HM). 2–3 candidates selected to come in for an in-person (preferred) interview. They will give a seminar showcasing their skillset and experience followed by 1:1 interviews with team members and collaborators, probably a group lunch interview with some lab staff.