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This position is for a core that provides spatial biology services to Mayo Clinic researchers engaged in discovery science. We are looking for someone with excellent customer service and communication skills and who enjoys working independently to optimize assays/technologies that will be deployed to a wide variety different tissues and projects. Working closely with bioinformaticians pathologists and other Mayo Clinic Core Facilities the successful candidate will perform basic project management responsibilities including maintaining a list of projects in the pipeline tracking time spent on each client project and helping with invoicing.
Independently sets up and performs experiments and procedures in support of lab goals and grant commitments (e.g. assays cell/tissue culture animal studies etc.. Contributes to the planning design and modification of studies and experiments in the research lab setting. Monitors results reports unusual outcomes and suggests modifications. Collects enters summarizes and analyzes data. May oversee and assist with the training of residents fellows and temporary lab personnel in lab techniques. Works with minimal supervision and performs assignments independently as discussed and approved by Principal Investigator.
Requires bachelors degree in biology chemistry or other relevant science with 4 years of research laboratory experience. Masters degree in biology chemistry or other relevant science preferred.
Experience with spatial transcriptomics and/or proteomics is strongly preferred. Minimum requirements include demonstrated expertise with general histological techniques (cryostat and microtome sectioning staining of formalinfixed paraffinembedded and frozen tissue sections immunohistochemistry and immunofluorescence) brightfield and fluorescent microscopy as well as digital image acquisition and analysis.
The successful candidate will also have experience with molecular biological methods (e.g. PCR nextgeneration sequencing library preparation in situ hybridization) and general statistical analysis methods and managing large data sets.
Required Experience:
Senior IC
Full-Time