
Posted 1 day ago
Scientific Infrastructure Engineer III
AI Summary
Engineers and maintains software systems that direct, track, and support automated laboratory experiments, including inventory management and asset tracking, to enable remote execution of biology and chemistry research.
About this role
The Emerald Cloud Laboratory (ECL) enables life scientists to move out of the lab, and to conduct research entirely from a computer. Stepping away from manual completion of experiments at the bench, scientists on the ECL leverage the remote, automated execution of all standard biology and chemistry experiments in Emerald’s industrial lab facilities, working within a software platform for all stages of research workflows, from experimental design to data analysis. Our system empowers scientists at Big Pharma companies, startups, and academic laboratories by allowing them to run wet lab experiments from anywhere in the world without ever stepping foot into the lab.
The Scientist at ECL exemplifies the ideal of the "Engineering-driven Scientist." Every scientist at Emerald learns to code, working in the Wolfram Language, and the eclectic team comes together to tackle the singular challenges at the intersection of understanding experimental detail, architecting the logistics for a new model of industrial lab facility, integrating new instrumentation, and building the software system that captures it all.
The Scientific Infrastructure team implements and maintains software that supports all experimental operations at Emerald Cloud Lab. The team engineers systems that direct, track, and support laboratory experiments.
Responsibilities include
- Architecting and developing new software solutions to increase the speed or reliability of the laboratory operations team
- Maintaining advanced laboratory support systems, including inventory management and asset tracking
- Updating SLL, Emerald’s software library, to provide a better development experience for internal and external users
Requirements
- Ph.D. degree in Chemistry or Biology
- You have 2 years of experience as a Scientific Infrastructure Engineer, Scientific Automation Engineer, Research Scientist - Automation & Systems, Research & Development Infrastructure Scientist, or Research Engineer
- Experience with Mathematica Coding
- You are comfortable with rigorous data analysis and experimental design.
- You are capable and willing to learn computer programming (no prior experience necessary, but it is a welcome bonus).
- You are capable and willing to learn to program robotic automation (no prior experience necessary, but it is a welcome bonus).
- You have worked extensively in the course of research to troubleshoot both experiments and complex instrumentation.
- You have experience conducting a wide variety of different experiment types and are excited to quickly develop expertise in a very diverse array of new methods and instrumentation.
- You enjoy building systems and automating processes.
- You are a detail-oriented thinker who takes pride in precision experimentation.
You might resonate with ECL if...
- You are passionate about science, technology, and medicine.
- You are impressively empathetic. You can argue the rationale you disagree with as convincingly as the one you agree with.
- You are intellectually fearless. Stretching yourself well out of your comfort zone across multiple disciplines is more the rule than the exception at Emerald.
- You are curious. When first-principles reasoning illuminates a path that diverges from the standard assumptions, you feel compelled to see where it leads.
About ECL:
https://www.emeraldcloudlab.com
The Emerald Cloud Laboratory (ECL) enables life scientists to move out of the lab, and to conduct research entirely from a computer. Stepping away from manual completion of experiments at the bench, scientists on the ECL leverage the remote, automated execution of all standard biology and chemistry experiments in Emerald’s industrial lab facilities, working within a software platform for all stages of research workflows, from experimental design to data analysis.
Skills
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