New

Research Associate III

Rutgers University

life insurance

United States, New Jersey, Piscataway

Sep 11, 2025

Position Details

Position Information

Recruitment/Posting Title	Research Associate III
Job Category	Staff & Executive - Research (Laboratory/Non-Laboratory)
Department	RWJ-Pharmacology-PISC
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 Research Associate III for the department of Pharmacology at the Robert Wood Johnson Medical School. Under the direction of the Principal Investigator, research Associate III performs computational analysis of ongoing research projects focusing on the function of transcription factor (TF) networks in mediating cell fate transitions at the early stages of oncogenic transformation as well as during aging of the immune system. Among the key duties of this position are the following: As directed, performs the computational analysis of bulk and single-cell multiomic datasets; develops computational pipelines for the statistical analysis of high-throughput data involving gene expression, chromatin accessibility, epigenomic and proteomic data obtained from various transitional senescence states that are generated within the laboratory. Maintains and updates the computational resources assigned to the laboratory within the University's high-performance computing clusters, including updating of core libraries and incorporation of new computational tools, as directed. Assists post-doctoral and pre-doctoral staff within the laboratory with statistical analyses of experimental data. Works closely with the PI in the development of analytical strategies to achieve the laboratory goals, including optimization of current algorithms used to determine transcription factor binding dynamics, pseudotiming analysis and integration of multimodal datasets. Contribute to the development of performance standards, selection of methodology and instrumentation and coordination of the analytical, biochemical, physiology and instrumentation functions with the research areas to ensure conformance with the goals and objectives of the department. Maintain accurate records of laboratory notebooks and research activity. Review literature and prepare manuscripts and abstracts for submission. Present findings at national meetings. May also mentor graduate/undergraduate students.
FLSA	Exempt
Grade	18S
Salary Details	$51,988/annual
Minimum Salary	51988.000
Mid Range Salary	61929.000
Maximum Salary	72984.000
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 offers a comprehensive benefits package to eligible employees, based on position, which includes: 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 Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview.
Position Status	Full Time
Working Hours (per week)	37.5
Standard Hours	37.50
Daily Work Shift	Day
Work Arrangement	This position requires a fully on-site work arrangement.
Union Description	HPAE 5094
Payroll Designation	PeopleSoft
Seniority Unit
Terms of Appointment	Staff - 12 month
Position Pension Eligibility	ABP

Qualifications

Minimum Education and Experience	The candidate will have a Master's Degree in Statistics with one (1) year of related research experience in the pre-processing, analysis and visualization of single cell and bulk high-throughput sequencing data. The candidate must be an experienced user of analytical suites for single-cell and bulk high-throughput sequencing data including Scanpy, Seurat, Signac, DESeq2, limma, WGCNA as well as standard preprocessing tools including Bowtie2, Cutadapt, Samtools and Deeptools.
Certifications/Licenses
Required Knowledge, Skills, and Abilities	Must be confident in the understanding and application of statistical techniques to high-throughput biological data. The ideal candidate is energetic, collegial, detail oriented and organized.
Preferred Qualifications
Equipment Utilized
Physical Demands and Work Environment	Physical Demands: Standing, sitting, walking, talking or hearing. No special vision requirements. Work Environment: Lab environment with moderate noise. Radioactivity and hazardous chemicals are used in the lab.
Special Conditions

Posting Details

Posting Number	25ST1984
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.

Affirmative Action/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 value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement