Organic Electrochemistry Scientist Microarray Synthesis

Mammoth DS, Inc; South San Francisco (CA); On-site; USD 125,000 - 150,000; Full time

Job summary

Atlas Data Storage is redefining the boundaries of information technology by integrating organic electrochemistry with CMOS hardware to enable high-throughput, enzymatic DNA synthesis on high-density microelectrode arrays.

We are seeking a PhD chemist with hands-on expertise in organic electrochemistry, electrocatalysis, and microarray synthesis to master the electrochemical environment within our chip architecture and drive synthetic workflows with high fidelity.

Qualifications

• Ph.D. in Chemistry with emphasis on Organic Electrochemistry or Electrocatalysis.
• Minimum 2 years (Ph.D.) of postdoctoral or industrial R&D bench experience.
• Direct experience setting up organic syntheses on microelectrode arrays or functionalized supports.

Responsibilities

• Design and execute high-throughput experiments to probe and confine organic reactions at the micro-electrode interface.
• Develop and optimize new organic electrochemical methodologies using potential/current control.
• Manipulate electron-transfer kinetics and mass transport to maximize yield and efficiency.
• Collaborate with protein biochemists, microfluidics experts, surface chemists, and CMOS designers.
• Document breakthroughs with detailed data reports and present to R&D leadership.
• Contribute as both an independent contributor and a team player.

Skills

Organic electrochemistry

Electrocatalysis

Microarray electrosynthesis

Cyclic voltammetry

Square wave voltammetry

Education

Ph.D. in Chemistry

Job description

Atlas Data Storage is redefining the boundaries of information technology by integrating organic electrochemistry with CMOS hardware to enable high-throughput, enzymatic DNA synthesis on high-density microelectrode arrays.

We are seeking a PhD chemist with hands-on expertise in organic electrochemistry, electrocatalysis, and microarray synthesis to master the electrochemical environment within our chip architecture and drive synthetic workflows with high fidelity.