Staff Scientist
Seeking a Staff Scientist to conduct research projects and assist with research activities of the Karch Lab at Washington University School of Medicine. To apply, please contact Celeste Karch at karchc@wustl.edu or Jacob Marsh at jacobmarsh@wustl.edu
Primary Duties and Responsibilities:
- Performs iPSC culture and conducts downstream experiments and screening assays
- Utilizes CRISPR/Cas9 technologies to perform genomic editing
- Optimizes various molecular biology assays to ensure consistent and reliable results
- Works closely with project coordinators, staff scientists, trainees, and technical staff to ensure the success of projects
- Following instructions and discussions with principal investigator, designs research protocols, including developing procedures for the collection, verification and management of data.
- Assists with grant preparation and reporting.
- Performs complex statistical analysis of data collected and writes interpretative reports. Verifies the correctness of the data submitted and makes recommendations based on these analyses.
- Documents research topics and prepares and submits papers based on research work to publications and committees for publication or presentation to peers.
- Solves practical problems relating to difficulties with equipment or test subjects. Suggest technical and procedural improvements in testing methods.
- Conducts literature searches related to research project.
Preferred Qualifications:
- Master’s or Ph.D. degree in field relevant to studying neurodegeneration
- Experience with techniques in molecular biology, cell biology, and biochemistry
- Experience with methods in cell culture and aseptic technique. iPSC culture experience is not required.
- Possess a strong understanding of CRISPR/Cas9 genome editing system
- Organized, independent, and self-motivated
- Demonstrated ability to be highly productive in a fluid and collaborative work environment
- Exceptional written and oral communication skills
- Analytical reasoning and problem solving skills
- Ability to analyze and interpret statistical data and to communicate data in a clear, concise manner
- Computer literacy, including the ability to use a variety of software packages to analyze data.