Cryo-EM Data Scientist: Automation & Workflows

Collabera; Thousand Oaks (CA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Life insurance

Paid time off

Paid holidays

Job summary

Collabera is seeking a Scientist to develop robust automation workflows for cryogenic electron microscopy (cryoEM) data processing, reporting, and scientific decision support.

This scientist will combine practical understanding of structural biology and cryoEM workflows with strong computational skills to leverage AI to reduce manual documentation, improve data traceability, and create standardized, reusable analysis tools.

Qualifications

• Deep training in cryoEM data processing (single particle analysis, tomography or MicroED).
• Familiarity with EPU and CryoSPARC software packages.
• Familiarity with Linux command line to control data processing programs without GUIs.
• Experience developing scripts, data-processing pipelines, reports, or scientific visualizations.
• Strong documentation and reproducible-development practices.
• Solid record of scientific publications, presentations or technology innovation.

Responsibilities

• Develop robust, user-centered automation workflows for cryoEM data processing and reporting.
• Leverage AI to reduce manual documentation and improve data traceability.
• Create standardized, reusable analysis tools and workflows for structural biology data.

Skills

Cryo-EM data processing

Single particle analysis

Linux command line

Scripting/programming

HPC workflows

Documentation and reproducible Dev

Education

PhD in structural biology or related field

Master's degree + relevant experience

Tools

EPU

CryoSPARC

Relion

Pymol

ChimeraX

XDS

Refmac

Coot

Job description

Collabera is seeking a Scientist to develop robust automation workflows for cryogenic electron microscopy (cryoEM) data processing, reporting, and scientific decision support.

This scientist will combine practical understanding of structural biology and cryoEM workflows with strong computational skills to leverage AI to reduce manual documentation, improve data traceability, and create standardized, reusable analysis tools.