Temporary Research Assistant

Position Details
Position Information
Recruitment/Posting Title
Temporary Research Assistant

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

Department
SHP - Health Informatics

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 universitywide, 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 School of Health Professions (SHP) is seeking a Temporary Research Assistant to work in the Department of Health Informatics.

Under the direction of Principal Investigator, Temporary Research Assistant will build and test analysis pipelines for Next Generation Sequencing data (including Single Cell Sequencing) from cancer patients (with special focus on prostate cancer) using Unix/Linux computing cluster and apply this pipeline for novel machine learning model.

Essential duties and responsibilities include the following:

• Build and test analysis pipelines for Next Generation Sequencing data (including Single Cell Sequencing), using shell/python scripting on Amarel computing cluster.
• Using these pipelines, download and analyze clinical and Next Generation Sequencing data for prostate cancer patients from public repositories (including dbGaP).
• Develop and apply machine learning algorithms to associate patterns in the data with cancer progression and therapeutic response in prostate cancer patients.
• Participate in generating data for grant reporting.

FLSA
Nonexempt

Grade
99H

Salary Details
$23.00 per hour is budgeted for this position.

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
10 hours per week

Standard Hours
35.00

Daily Work Shift

Work Arrangement
This position requires a fully on-site work arrangement.

Union Description
Hourly Employees

Payroll Designation
PeopleSoft

Seniority Unit

Terms of Appointment
Temporary Staff Appointment - Hourly

Position Pension Eligibility
None

Qualifications
Minimum Education and Experience

• MS, PhD, or Doctoral student in Bioinformatics, Computer Science, Data Analytics or related field.
• Knowledge of shell/python scripting in Unix/Linux operating environment is required.

Certifications/Licenses

Required Knowledge, Skills, and Abilities

Preferred Qualifications

Equipment Utilized

Physical Demands and Work Environment


PHYSICAL DEMANDS:

• Standing, sitting, walking, talking or hearing.
• No special vision requirements.

WORK ENVIRONMENT:

• Office environment. Moderate Noise.

Special Conditions

Posting Details
Posting Number
26ST1301

Posting Open Date

Special Instructions to Applicants

Regional Campus
Rutgers Biomedical and Health Sciences (RBHS)

Home Location Campus
Newark (RBHS)

City
Newark

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: