10x Genomics
Field Application Scientist, Connecticut
Connecticut, United States · Full-time
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About the role
- The primary goals of this position are to ensure rapid adoption and maximum customer success with 10x Genomics' products.
- This is the century of biology, and the breakthroughs we make now have the potential to change the world.
Responsibilities
- 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 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.
Requirements
- Extensive experience in molecular biology, biochemistry, genomics or genetics
- Demonstrable knowledge and experience with NGS workflows and data analysis software and associated analysis software
- Hands on proficiency with common molecular biology bench techniques
- Hands-on proficiency with histology techniques including tissue processing, sectioning, and embedding
Nice to have
- Ph.D. or 6-8 years' experience preferred in Chemistry, Biochemistry, Molecular Biology or Genetics
- Experience with spatial gene expression or protein assays is highly desirable
- Previous customer facing experience
- Familiarity with SFDC software
- 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.
- During the hiring process, your 10x recruiter can share more about the Company's total compensation package.
- About 10x Genomics
Compensation
- $102,700 - $138,900 USD
- 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.
This listing is sourced directly from 10x Genomics's careers page and normalized into a canonical job model.