Post Doctoral Fellow-MSH-32086-004
About the role
The Institute for Translational Medicine and Pharmacology at Mount Sinai seeks a highly motivated researcher to join our team. This position involves studying skeletal aging using advanced cellular and molecular techniques.
Responsibilities
- Expertise in cellular and molecular techniques, including Cloning, ChIP, IP, FACS, confocal microscopy, flowcytometry, histology/immunofluorescence staining, and genetic mutant mouse breeding.
- Experience and interest in bioinformatics analysis, particularly RNAseq analysis and/or analysis of scRNAseq using Seurat, is preferred.
- Fluent English communication skills are required.
- High level of motivation, problem-solving ability, responsibility, and independence are expected.
Qualifications
- A recent Ph.D. (or a PhD student with 1-2 years of experience) in molecular and cellular biology, immunology, bone biology, or a related field.
- At least one first-author research article.
Employer Description
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. Join us to be part of the next chapter in our history.
Mount Sinai Health System
The Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it.
Salary
The salary range for this position is $72,500 - $80,000 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need.