Scientist 1/Scientist 2 - Product Integration

10X Genomics   •  

Pleasanton, CA

Industry: Pharmaceuticals & Biotech

  •  

Less than 5 years

Posted 49 days ago

The ideal candidate will have a proven track-record in the development of novel molecular biology protocols for solving complex biological problems. This person should have a broad understanding of next generation sequencing, its applications, and a love for building great products. As scientists in PI, we are driven to turn product concepts into the tools that accelerate our understanding of biology.

Key Responsibilities

  • Working within multi-disciplinary teams at all stages of product development
  • Developing a deep understanding of the interplay between chemistry, molecular biology, and microfluidics to identify the root cause of product deviations, troubleshoot them, and identify robust solutions
  • Planning and execution of experiments, in-depth analysis, reporting of these results through documentation and presentations
  • Contribute molecular biology/genomics expertise and leadership to cross-disciplinary product development teams to ensure project milestones and product performance

Required Skills and Background

  • PhD in molecular biology, biochemistry, genomics, or similar field with a minimum of 3 years post-graduate experience
  • Experience with molecular biology assays/protocols utilizing next-generation sequencing as evidenced by peer-reviewed publications, published patents or launched products
  • Proven ability to troubleshoot failures through experimental design and execution
  • Strong organizational skills to manage multidisciplinary projects
  • Strong written and oral communication skills
  • Ability to perform under pressure and adapt to changes (e.g., priorities and timelines)
  • Desire to build game-changing technologies and impact the world of life science research

Desired Skills and Background

  • Experience in single-cell genomics, functional genomics or immunology
  • Laboratory automation experience a plus
  • Familiarity with quality management and formal product testing (e.g., verification and validation) highly desired
  • Experience with statistical design, modeling and use of design of experiment (DOE) approaches