Scientist 1-Spatial Biology and Biophysics

10x Genomics, Inc.

Pleasanton (CA)

Hybrid

USD 123,000 - 167,000

Full time

14 days+

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Benefits offered by this job

Equity grants
Health and retirement benefits
Annual bonus program

Job summary

10x Genomics is seeking a highly motivated scientist to drive research and product development in Spatial Biology. You will design, run, and troubleshoot assays for spatial transcriptomics, collaborating with chemistry, computational biology, software, engineering and microfluidics across a fast-paced, cross-disciplinary team.

The role requires a PhD in Molecular Biology or related field, 3+ years in situ hybridization and imaging, and strong coding skills in R or Python.

Qualifications

  • PhD in Molecular Biology, Biophysics, Biochemistry or related field.
  • 3+ years in situ hybridization, imaging and spatial techniques.
  • Proven ability to design novel molecular biology assay schemes.
  • Strong analytical skills with R, Python or AI-aided coding.

Responsibilities

  • Design and execute experiments to support development, optimization, and verification of novel assays for our spatial platform.
  • Perform in-depth analysis and provide comprehensive documentation and presentation to drive decision.
  • Collaborate with cross-functional teams including Computational Biology, Software, Microfluidics, Operation and Assay Productization.
  • Contribute to protocol development and support protocol transfer to customer facing documentation.

Skills

Analytical skills
Troubleshooting
Cross-functional collaboration
Communication

Education

PhD in Molecular Biology / Biophysics / Biochemistry

Tools

R
Python

Job description

About the role:

We are looking for a highly motivated scientist to drive new research and product development efforts in our Spatial Biology department. The ideal candidate will have a solid foundation in molecular biology, with strong troubleshooting skills and hands‑on experience with biomolecule imaging platforms. This role will involve designing, running, and troubleshooting experiments to help develop and optimize new assays in spatial transcriptomics. You'll 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:
  • Design and execute experiments to support development, optimization, and verification of novel assays for our spatial platform
  • Perform in-depth analysis and provide comprehensive documentation and presentation to drive decision
  • Collaborate with cross-functional teams including Computational Biology, Software, Microfluidics, Operation and Assay Productization.
  • Contribute to protocol development and support protocol transfer to customer facing documentation.
To be successful in this role, You need:
  • PhD in Molecular Biology, Biophysics, Biochemistry or related field.
  • 3+ years of relevant experience in situ hybridization, imaging and spatial techniques
  • Proven ability to design novel molecular biology assay schemes, as evidenced by peer-reviewed publications or published patents.
  • Strong analytical skills: fluency in R, Python or AI-aided coding to perform ad-hoc analysis.
  • Exceptional troubleshooting and problem solving skills.
  • Strong organizational skills and communication skills (both written and verbal)
  • 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.
Additional desired Skills:
  • Experience with the 10x Genomics Xenium platform is a plus.
  • Skills in image analysis are a plus.

#LI-MH1 #LI-Onsite

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

About 10x Genomics

At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.

We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.

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.

10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.

#LI-MH1 #LI-ONSITE

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