Rockefeller University Research Assistant | Laboratory of Molecular Neuro-Oncology in New York, New York
RNA is the driving force of biological complexity, determining which genes any given cell expresses at specific times and under specific circumstances. Darnell developed high-throughput sequencing and crosslinking methods to investigate how RNA binding proteins (RBPs) modulate gene expression. He discovered neuron-specific RNA-binding proteins in the mammalian brain, and studies their link to intellectual function and human disease.
The research assistant will join our groupfocusing on characterizing the molecular mechanisms that underlie phenotypes of rheumatoid arthritis (RA). In previous studies we have used machine learning to integrate rheumatoid arthritis gene expression profiles with synovial histology features to provide insight into RA disease subsets (Arthritis and Rheumatol, 2018). We noted the persistence of histologic and transcriptional evidence of subclinical synovial inflammation in some RA patients in clinical remission (Arthritis and Rheumatol, 2019). Our group has also uncovered synovial histology associations of morning stiffness (Arthritis and Rheumatol, 2020). We have developed methods to empower patients to participate in dense longitudinal genomics studies from home and used this approach to gain insights into the immune events that lead to rheumatoid arthritis flares (NEJM, 2020).
Help collect, store, process and organize clinical blood and tissue samples
Use basic molecular biology and biochemical techniques including
RNAseq library preparation
flow cytometry and sorting
Bachelor's degree required; Master's degree preferred
Basic knowledge of tissue culture and laboratory practice
An ability to give full attention to experiments and keep accurate and accessible records
Educational emphasis in Life Science, Molecular Biology or Biochemistry is preferred.
Background knowledge of molecular biology is a plus.
Rockefeller University does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. All qualified applicants will receive consideration for employment without regard to the characteristics listed above.
Compensation Range: Min
Compensation Range: Max
Job Locations US-NY-New York
Position Type Regular Full-Time