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.
Among the key duties of this position are the following:
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 GitHub 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
Salary Details
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 department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.
Benefits
Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:
Medical, prescription drug, and dental coverage
Paid vacation, holidays, and various leave programs
Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
Employee and dependent educational benefits (when applicable)
Life insurance coverage
Employee discount programs
Position Status
Part Time
Working Hours
Standard Hours
20.00
Daily Work Shift
Work Arrangement
This position requires a fully on-site work arrangement.
Union Description
Student Hourly Employees
Payroll Designation
PeopleSoft
Seniority Unit
Terms of Appointment
Temporary Staff Appointment - Hourly
Position Pension Eligibility
None
Qualifications
Minimum Education and Experience
Current Rutgers Undergraduate Students should have robust coding experience, particularly in Python, as well as the ability to undertake basic coding projects independently, with some guidance from the PI.
It is expected that the incumbent has relevant research experience and can work independently under the direction of the principal investigator.
Certifications/Licenses
Required Knowledge, Skills, and Abilities
Proficient coding skills in Python plus MATLAB and/or R are essential, as well as experience in analyzing biological imaging data.
Basic skills in Microsoft Office Excel, Word and Powerpoint are expected by all individuals.
Preferred Qualifications
Equipment Utilized
Physical Demands and Work Environment
Physical Demands: The incumbent needs to be physically capable of performing the above duties. H/She should communicate his/her research plans and findings verbally and in writing in proper English to the team and to the scientific community in presentations and publications.
Special Conditions
Posting Details
Posting Number
26ST1723
Posting Open Date
Special Instructions to Applicants
Regional Campus
Rutgers Biomedical and Health Sciences (RBHS)
Home Location Campus
Piscataway (RBHS)
City
Piscataway
State
NJ
Location Details
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate’s offer of employment or disciplinary action up to and including termination.
Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
Supplemental Questions
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