US_Scientist I_CO

TALENT Software Services; South San Francisco (CA); On-site; USD 70,000 - 90,000; Full time

Job summary

A leading biotechnology firm in South San Francisco is seeking a highly motivated Scientist to join their Spatial Omics team. Responsibilities include designing and conducting spatial omics studies using advanced technologies like Xenium and Visium, interpreting data, and collaborating with multidisciplinary teams. The ideal candidate possesses a BA or BS in a scientific field and has experience with spatial omics platforms and quantitative image analysis. This role emphasizes independence, problem-solving, and effective communication within a dynamic workplace.

Qualifications

• 0-5 years of experience in a relevant scientific field.
• Experience with scanning of fluorescent and histological slides.
• Demonstrated ability to handle multiple projects simultaneously.

Responsibilities

• Design, plan, conduct, and interpret spatial omics studies independently.
• Collaborate with labs to maintain end-to-end workflows.
• Maintain scientific records and evaluate experimental data.

Skills

Hands-on experience with spatial omics platforms

Quantitative image analysis

Machine learning experience

Ability to communicate clearly verbally and in writing

Education

BA or BS in a relevant scientific field

Tools

10x Genomics Xenium

10x Genomics Visium

COMET technology

Job description

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.

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.
• 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.

Qualifications

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.

Onsite position

• 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.