Position Details
Position Information
| Recruitment/Posting Title |
Research Teaching Specialist V |
| Job Category |
Staff & Executive - Research (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 Research Teaching Specialist V to work in the Department of Health Informatics.
Under the direction of the Principal Investigator(s), Dr. Priyadarshini Kachroo, the Research Teaching Specialist V will assist with ongoing projects in the Kachroo Translational Data Analytics Lab. The candidate is required to have a Bachelor's degree in health sciences and will be involved in routine data quality assessments, application of machine learning and artificial intelligence methods, data management tasks, manuscript development, grant proposal assistance and other relevant scientific activities like assisting in statistical analysis and data coding, presentation and manuscripts preparation, etc.
The Research Teaching Specialist V will have the opportunity to work with real-time electronic health record data, developing computational methods to integrate genomic, multi-omic, and environmental factors affecting lung health outcomes. Regular communication with Dr. Kachroo and related team members on assigned projects is expected. Research activities may also include but are not limited to basic analysis of quantitative and qualitative data with guidance of PI and related faculty.
Essential Duties and Responsibilities include the following:
- Broadly assist with data cleaning, data analysis, and data interpretation using machine learning and artificial intelligence methods. The Research Teaching Specialist V will have the opportunity to work with real-time electronic health record data and computational method and pipeline development for integrating genomic, multi-omic, and environmental factors contributing to lung health outcomes and related conditions.
- Assist and collaborate with training fellows, and other lab members as directed.
- Assist with eIRB initiation, if applicable.
- Assist with grant proposals and support grant-related research activities.
- Assist with presentation and manuscripts preparation and dissemination of code for resource sharing and reproducibility.
|
| FLSA |
Exempt |
| Grade |
17S |
| Salary Details |
|
| Minimum Salary |
49883.000 |
| Mid Range Salary |
59362.000 |
| Maximum Salary |
69920.000 |
| 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 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 |
Full Time |
| Working Hours |
37.5 |
| Standard Hours |
37.50 |
| Daily Work Shift |
|
| Work Arrangement |
Consistent with the current application of Rutgers Policy 60.3.22 or the applicable provisions of relevant collective negotiations agreements, this position may be eligible for a hybrid work arrangement. Flexible work arrangements are not permanent, are subject to change or discontinuation, and contingent on the employee receiving approval in the FlexWork@RU Application System. |
| Union Description |
HPAE 5094 |
| Payroll Designation |
PeopleSoft |
| Seniority Unit |
|
| Terms of Appointment |
Staff - 12 month |
| Position Pension Eligibility |
ABP |
Qualifications
| Minimum Education and Experience |
- Bachelor's Degree in Health Science or related field required.
|
| Certifications/Licenses |
|
| Required Knowledge, Skills, and Abilities |
- Proficiency in and knowledge of multiple statistical software packages preferred, such as SPSS, SAS, R, Python, etc.
- Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint.
- Knowledge of computational analysis required for this position.
- Should be motivated, proactive, and able to work independently in a team.
|
| Preferred Qualifications |
- Master's Degree or PhD in a Health Science or related field preferred.
|
| Equipment Utilized |
|
| Physical Demands and Work Environment |
PHYSICAL
DEMANDS:
- There are no significant physical demands associated with this position.
WORK
ENVIRONMENT:
- This position is primarily in Health Informatics, Newark campus. Candidate will be working on both the Newark and Piscataway campuses with remote work flexibility.
- Access to 2 CPU nodes personal to the lab, desktop, and internet access to perform the duties will be available.
|
| Special Conditions |
|
Posting Details
| Posting Number |
26ST0380 |
| Posting Open Date |
02/26/2026 |
| Special Instructions to Applicants |
|
| Regional Campus |
Rutgers Biomedical and Health Sciences (RBHS) |
| Home Location Campus |
Newark (RBHS) |
| City |
Newark |
| State |
NJ |
| Location Details |
Stanley S. Bergen Jr. Bldg.
65 Bergen St.
Newark, NJ 07107 |
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
|