CryoEM Automation Scientist

Aditi Consulting

Thousand Oaks (CA)

On-site

USD 48,000 - 52,000

Full time

10 days ago
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Benefits offered by this job

Health benefits
401(k) with company match
Paid time off
Bereavement leave
Commuter benefits
Disability insurance

Job summary

Aditi Consulting is seeking a Scientist to develop robust, user-centered automation workflows for cryogenic electron microscopy (cryoEM) data processing and decision support. The role combines structural biology insight with deep computational skills to reduce manual documentation, improve traceability, and create reusable analysis tools.

The successful candidate will work with biologists and computational scientists to build and validate scalable pipelines, document methods, and present

Qualifications

  • Deep training in cryoEM data processing.
  • Experience with Linux CLI and scripting.
  • Experience with EPU and CryoSPARC software packages.
  • Strong documentation and reproducible development practices.
  • Excellent communication and collaboration skills.
  • Publications or presentations in the field.

Responsibilities

  • Meet with structural biologists to translate needs into software requirements.
  • Develop, test, document, and maintain software tools.
  • Apply reproducible development practices (GitLab, testing, documentation).
  • Validate tools on representative datasets and refine workflows.
  • Document data provenance, input requirements, limitations and outputs.
  • Present progress and technical recommendations to stakeholders.

Skills

CryoEM data processing
Scripting / automation
Linux command line
Scientific publications
Communication and collaboration

Tools

EPU
CryoSPARC
Relion
Pymol
ChimeraX

Job description

Aditi Consulting is seeking a Scientist to develop robust, user-centered automation workflows for cryogenic electron microscopy (cryoEM) data processing and decision support. The role combines structural biology insight with deep computational skills to reduce manual documentation, improve traceability, and create reusable analysis tools.

The successful candidate will work with biologists and computational scientists to build and validate scalable pipelines, document methods, and present

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