What are the responsibilities and job description for the Scientist position at Advanced Software Talent?
Only local San Francisco Bay Area candidates!
Direct W2 contractors only! No 3rd party agencies! We are not able to sponsor Visa Holders!
Duration 10 months
Start date: 2/26/26, onsite
Spatial Omics Lab, embedded within the Pathology Department, is part of the Research and Early Development (gRED) organization. We are dedicated 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 multiple therapeutic areas. We deliver end-to-end spatial workflows in close collaboration with the Digital Pathology Image Analysis team.
The Role
We are seeking a highly motivated, independent Scientist to join our Spatial Omics team. In this role, you will plan, execute, and report complex spatial proteomics and/or spatial transcriptomics experiments, contributing directly to impactful research programs.
This is an excellent opportunity for a hands-on scientist who thrives in a fast-paced, multidisciplinary research environment and enjoys working with cutting-edge spatial technologies.
Key Responsibilities
- Independently design, plan, conduct, and interpret spatial omics studies with minimal supervision
- Execute complex experiments using advanced spatial platforms, including Xenium, Visium, and COMET
- Analyze and interpret experimental data and adapt experimental design as needed with limited guidance
- Present progress updates and results at internal and external meetings
- Collaborate closely with multidisciplinary teams and partner labs to ensure seamless end-to-end workflows
- Maintain accurate scientific records, evaluate data, and draw well-supported conclusions
- Adhere to laboratory WKDs, timelines, and reporting structures in coordination with the lab manager
- Proactively research internal and external scientific literature to inform study design
- Execute established image and data management processes (e.g., image alignment, image conversion)
Required & Preferred Qualifications
- BA or BS in a relevant scientific field with 0–5 years of experience
- Hands-on experience with one or more spatial omics platforms, such as:
- 10x Genomics Xenium
- 10x Genomics Visium
- COMET technology
- Experience scanning fluorescent and histological slides
- Experience in quantitative image analysis and image processing; machine learning experience is a plus
- Strong ability to manage multiple projects, work collaboratively in teams, and communicate clearly
- Comfortable working in a dynamic, fast-paced environment with a proactive, problem-solving mindset