Lead CryoEM Scientist: Collaborations & Protocols

Howard Hughes Medical Institute (HHMI)

Ashburn (VA)

On-site

USD 110,000 - 165,000

Full time

2 days ago
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Benefits offered by this job

On-site childcare
Campus housing
Shuttle service to DC metro area

Job summary

HHMI's CryoEM Shared Resource at Janelia Research Campus seeks a scientist who wants their scientific judgment to shape data, not just operate equipment. You’ll collect high-throughput data with Titan Krios, Aquilos2, and Hydra cryo FIBSEM and collaborate with users across the HHMI community.

You’ll lead cryoEM aspects of research collaborations, develop, implement, and test new protocols for sample preparation, data collection, and image processing, and train users and staff to share expertise

Qualifications

  • PhD in a related field and ability to view experiments from a collaborator's perspective.
  • Proficiency with Linux, bash, and Python to troubleshoot issues.
  • Ability to manage multiple simultaneous user projects.
  • Experience or aptitude for teaching and training others in cryoEM methods.

Responsibilities

  • Run the microscopes end to end and troubleshoot hardware/software with peers.
  • Lead cryoEM portions of collaboration projects from planning to results review.
  • Develop, implement, and test new protocols for sample prep, data collection, and image processing.
  • Keep the facility current by adopting new cryoEM developments.
  • Train users and staff on cryoEM methods and equipment.
  • Handle samples, cryogen dewars, dry shippers, and data transfer properly.

Skills

Linux
bash scripting
Python

Education

PhD in related field

Tools

Titan Krios
Aquilos2
Hydra cryo FIBSEM

Job description

HHMI's CryoEM Shared Resource at Janelia Research Campus seeks a scientist who wants their scientific judgment to shape data, not just operate equipment. You’ll collect high-throughput data with Titan Krios, Aquilos2, and Hydra cryo FIBSEM and collaborate with users across the HHMI community.

You’ll lead cryoEM aspects of research collaborations, develop, implement, and test new protocols for sample preparation, data collection, and image processing, and train users and staff to share expertise

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