As Automation Scientist, you will design the scientific logic behind ELECTRA's automated experiments, from electron microscopy and sample-prep workflows to the acceptance criteria that make a remotely run experiment trustworthy, and support the users who run them.
Job Duties- Design, build, and validate automated and semi-autonomous electron microscopy and sample-preparation workflows, including closed-loop, active-learning strategies that improve hit rates with less human intervention.
- Express experimental logic as reviewable protocols and machine-readable specifications, and establish the acceptance criteria, calibration routines, validation standards, and failure/recovery definitions that make a remotely executed experiment trustworthy.
- Analyze and interpret experimental datasets, and curate high-quality datasets, including metadata and failure cases, to inform workflow design and support AI-driven experiment design and cross-node standards.
- Collaborate with the team to translate experimental logic into instrument-control routines, scheduling constraints, and user-facing interfaces, and co-develop common experimental-design and laboratory protocols with counterparts at other PCL nodes.
- Provide expert technical support to onboarded users, on-site and remote, helping them translate scientific questions into executable ELECTRA experiments.
- Contribute to recruitment and onboarding workshops, user documentation, and facility tours; mentor students and junior staff; and contribute to publications and technical reports.
Minimum Qualifications- Ph.D. in chemistry, materials science, structural biology, chemical engineering, physics, or a related field plus 1 year of related experience (or Master's Degree with at least 3 years of related experience).
- Track record of publishing work.
- Hands-on experience with a structural characterization method.
- Experience automating laboratory workflows or running high-throughput experimentation.
- Proficiency in coding and data processing.
- Strong collaboration and written communication skills, and genuine interest in supporting users at institutions with fewer resources than ours.
Preferred Qualifications- Electron diffraction experience, including low-dose data collection and sample preparation.
- Experience with self-driving labs, materials acceleration platforms, active learning, or Bayesian experimental design.
- Fluency with crystallography pipelines (XDS, DIALS, CCP4, PHENIX, SHELX, or equivalents).
- Robotic sample handling or liquid-handling automation.
- Experience supporting external users at a shared instrument facility, beamline, or core.
Required Documents- Resume
- Cover letter explaining relevant experience
Hiring Range$79,700 - $112,500 Per Year
The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.
As one of the largest employers in Pasadena, CA, Caltech is committed to providing comprehensive benefits to eligible employees and their eligible dependents. Our benefits package includes competitive compensation, health, dental, and vision insurance, retirement savings plans, generous paid time off (vacation, holidays, sick time, parental leave, bereavement, etc.), tuition reimbursement, and more. Non-benefit eligible employees will have access to some benefits such as onsite counseling and sick time. Learn more about our benefits and staff perks.
