Scientist 1, Protein Assay Development, Spatial Biology

Socket.dev; Pleasanton (CA); On-site; USD 123,000 - 167,000; Full time

Job summary

10x Genomics is seeking a highly skilled scientist to join its Spatial Biology team in California. You will design and optimize tissue-based assays for protein mapping in intact tissues, troubleshoot protocols, and contribute to building next‑generation spatial multiomics platforms.

You will collaborate with chemists, computational biologists, software and engineering teams to translate discoveries into robust assays, with a fast-paced, collaborative environment and opportunities to publish and

Qualifications

• PhD in cell biology, immunology, biochemistry or related field.
• 2+ years hands-on experience in proteomics, in situ hybridization or imaging-based spatial techniques.
• Experience with tissue processing, histology, IHC, cryosectioning, immunofluorescence including surface markers or gene expression.
• Experience with antibodies, including mAb QC, conjugation and/or functional testing.
• Strong analytical background.
• Strong organizational skills.
• Strong written and oral communication skills.
• Strong troubleshooting and problem solving skills.
• Ability to work in a fast-paced and quickly changing environment.
• Desire to build game-changing technologies and impact the world of life science research.

Responsibilities

• Contribute to the optimization of tissue handling and processing protocols for protein staining, including FFPE samples.
• Design and execute experiments using imaging and biochemistry platforms integral to spatial technology platforms at 10x Genomics.
• In-depth analysis and reporting of data through documentation and presentations to internal groups.
• Collaborate with computational biologists and software engineers to interpret data generated by novel optical and biochemical assays.

Skills

Analytical thinking

Organizational skills

Written and oral communication

Troubleshooting

Adaptable in fast-paced environment

Problem solving

Education

PhD in Cell Biology/Immunology/Biochemistry

Tools

R

Python

Omics data analysis software

Image analysis software

Job description

About the role:

We are looking for an exceptional, multidisciplinary scientist to contribute to our product development efforts in our Spatial Biology department, developing technologies that map protein — and other biomolecules — directly within intact tissue. The ideal candidate will have a solid foundation in cell biology, immunology or tumor biology with strong troubleshooting skills and hands‑on experience with tissue based imaging assays. This role will involve designing, running, and troubleshooting experiments to develop and optimize new assays in the area of spatial multiomics in tissues. You will collaborate closely with colleagues across chemistry, computational biology, software, engineering, and microfluidics to bring new products to life. We're looking for someone with strong analytical skills, curiosity about new technologies, and enthusiasm for working in a fast‑paced, collaborative, multi‑disciplinary environment.

What you will be doing:

Contribute to the optimization of tissue handling and processing protocols for protein staining, including FFPE samples, to improve antigen retention, staining consistency, and compatibility with high‑plex imaging workflows.
Design and execute experiments using novel imaging and biochemistry platforms integral to various spatial technology platforms under development at 10x Genomics. This includes in-depth analysis and reporting of your data through documentation and presentations to internal groups.
Work closely with computational biologists and software engineers to interpret data generated by novel optical and biochemical assays.

Minimum Requirements:

• PhD in Cell Biology, Immunology, Biochemistry or related field.
• 2+ years of hands‑on experience in proteomics, in situ hybridization or other imaging based spatial techniques.
• Experience with tissue processing, histology, immunohistochemistry, cryosectioning, immunofluorescence including characterization by surface markers or gene expression.
• Experience working with antibodies, including mAb QC, conjugation and/or functional testing.
• Strong analytical background
• Strong organizational skills.
• Strong written and oral communication skills.
• Strong troubleshooting and problem solving skills.
• Ability to work in a fast‑paced and quickly changing environment.
• Desire to build game‑changing technologies and impact the world of life science research.

Preferred Skills and Experience:

• Experience with multiplex protein assays is a plus
• Proficiency in R, Python, AI‑aided coding or specialized omics data analysis software is a plus.
• Skills in image analysis are a plus.

Below is the base pay range for this full‑time position. The actual base pay will depend on several factors unique to each candidate, including one’s skills, qualifications, and experience. At 10x, base pay is also just one component of the Company’s total compensation package. This role is also eligible for 10x’s equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share more about the Company’s total compensation package.

Pay Range

$123,100—$166,500 USD

Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference.

Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.