"Research Scientist- CryoEM Facility"

RESEARCH SCIENTIST, CRYOEM FACILITY

Biology, will be supporting a diverse and expanding research community in cryogenic sample preparation, imaging, and data analysis and will train and support users in specimen preparation, data collection, and cryoEM/cryoET workflows; maintain and calibrate instruments; assist in collaborative projects; and help shape next-generation techniques in structural biology including leading the integration of the HydraBio system for advanced in situ studies using fluorescence-guided targeting. Located within MIT.nano, the facility features cutting-edge instrumentation, including a Titan Krios (BioQuantum-K3), Talos Arctica (Falcon3EC/K3), and an Aquilos cryo-FIB/SEM (soon to be upgraded to a HydraBio plasma FIB/SEM with Delmic METEOR fluorescence microscope), along with Chameleon and Vitrobot vitrification systems and robust computational infrastructure. Responsibilities include user training and mentoring (~35%), facility operations and administration (~30%), collaborative work and staff-assisted usage (~20%), equipment maintenance (~10%), and community engagement (~5%).

Full job description available here.

Job Requirements

REQUIRED: Ph.D. in biochemistry, structural biology, biophysics, or a related discipline; demonstrated expertise in transmission electron microscopy (TEM) and/or scanning electron microscopy (SEM); familiarity with cryogenic sample preparation methods; strong troubleshooting, organizational, and interpersonal skills; ability to work independently while balancing the needs of a multi-user facility; and commitment to training and supporting a diverse scientific community.

PREFERRED: Four+ years of research experience in biological electron microscopy; experience with cryo-FIB milling and lamella preparation; background in SPA, cryo-electron tomography, or related data processing workflows; experience identifying and diagnosing microscope or equipment performance issues; proficiency with computational tools for cryoEM data analysis; experience with Python, Linux, or HPC environments; and experience in a multi-user or shared research facility.