Scientist

Planet Pharma; Thousand Oaks (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Planet Pharma in Thousand Oaks is seeking a Scientist to develop robust, user-centered automation workflows for cryoEM data processing, reporting, and scientific decision support. This role blends structural biology insight with computational skills to streamline analyses and improve data traceability.

You will work with experimental and computational teams to translate complex cryoEM tasks into reusable software, documentation-ready pipelines, and scalable tools, while maintaining high

Qualifications

• Deep training in cryoEM data processing (single particle analysis, tomography or microED).
• Familiarity with EPU and CryoSPARC software packages.
• Familiarity with working at the 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.
• Highly organized, with great attention to detail, strong communication and excellent interpersonal skills.
• Ability to work collaboratively with experimental and computational scientists.

Responsibilities

• Develop robust, user-centered automation workflows for cryoEM data processing, reporting, and scientific decision support.
• Combine practical understanding of structural biology and cryoEM workflows with computational skills to leverage AI to reduce manual documentation, improve data traceability, and create standardized, reusable analysis tools.

Skills

cryoEM data processing

CryoSPARC

EPU

Linux CLI

Scripting

Documentation

Publications

Communication

Collaboration

Tools

EPU

CryoSPARC

Job description

Must have: Deep expertise in cryoEM data processing

Schedule: Mon-Fri, 8AM-5PM

*Relo's welcome but need to relocate at own expense

We are seeking a Scientist to develop robust, user-centered 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.

Required qualifications:

• Deep training in cryoEM data processing (single particle analysis, tomography or microED)
• Familiarity with EPU and CryoSPARC software packages
• Familiarity with working at the 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
• Highly organized, with great attention to detail, strong communication and excellent interpersonal skills
• Ability to work collaboratively with experimental and computational scientists

Preferred qualifications:

• Experience in at least one programming language is preferred but not strictly required
• Experience with version control (Git)
• Ability to translate scientific user needs into practical software requirements
• Experience with x-ray crystallography data processing
• Experience with Relion, Pymol, ChimeraX, XDS, Refmac, Coot, or similar software packages