Student Assistant

Position Details

Recruitment/Posting Title
:
Student Assistant, Multiple Vacancies

Job Category
:
Staff & Executive
- Research Support (Laboratory/Non-Laboratory)

Department
: RWJ - RINTS

Overview
:
New Jersey's academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all with the goal of improving human health. Aligned with Rutgers University-New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research.

Our faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine, dentistry, pharmacy, public health, nursing, biomedical research, and the full spectrum of allied health careers. Our clinical and academic facilities are located throughout the state-at Rutgers University-New Brunswick, including Piscataway;

and at locations in Newark, Scotch Plains, Somerset, Stratford, and other locations. Clinical partners include Robert Wood Johnson University Hospital in New Brunswick, Newark's University Hospital in Newark, and other affiliates. Through this community of healers, scientists, and scholars, Rutgers is equipped as never before to transform lives.

Posting Summary
:
Rutgers, The State University of New Jersey, is seeking a Student Assistant for the department of Neurology at the Robert Wood Johnson Medical School. Under the direction of the Principal Investigator, the incumbent will work on a project in a laboratory dedicated to studying the molecular pathogenesis of Parkinson's Disease. S/He will work in a new lab as part of a highly integrated research team utilizing a variety of laboratory technologies, analytic tools and approaches.

Appropriate training in all techniques necessary for the project will be provided. The mission of the lab is to follow a network-based approach to understand the pathogenesis of neurodegenerative diseases (mainly Parkinson's disease and secondarily Alzheimer's disease), with the ultimate aim being to utilize this strategy to develop combination treatments. This strategy distinguishes our lab from a decades-long tradition in the field of zeroing in on specific genes and focusing on the development of monotherapies for the treatment of neurodegenerative diseases.

Simultaneously, the lab aspires to remain at the cutting edge in terms of cellular and molecular biology techniques and to advance the neurodegeneration field by developing innovative tools and technologies that we will share with the research community. To achieve those goals, we are currently using mammalian cell lines (including stable cell lines) and induced pluripotent stem cells (iPSc) as model systems, as well as human brain tissue.

In the future, and as our research program advances, we will expand our toolkit to also include mouse work and computational analyses of large
-omics datasets. Some of the techniques we use include standard cell and molecular biology techniques, flow cytometry, microscopy (standard imaging and FRET, FLIM, FRAP), high throughput genetic and chemical screens, single cell and spatial transcriptomics, proteomics, lipidomics, genomics, optogenetics and histology.

• Undertake bioinformatics analyses of imaging, genomics, transcriptomics and proteomics data, as well as statistical analyses of biological data and any other types of analyses that might arise. Most of these will be Python-based, but occasional use of other scientific software available in the lab will be essential.
• Work conductively with other members of the lab and collaborators from within Rutgers and elsewhere.
• Store data, analyses and code within the lab's shared folders and Git Hub repository, as directed by the PI.
• Analyze data, organize them and present them at laboratory meetings and scientific meetings.
• Help prepare manuscripts for publications.

FLSA
:
Nonexempt

Grade
: 99H

Minimum Salary
: 15.92

Mid Range Salary
: 75.00

Maximum Salary
: 150.00

Offer Information
:
The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of…