Position Details
Position Information
| Recruitment/Posting Title |
Post Doctoral Associate |
| Job Category |
Staff & Executive - Research (Laboratory/Non-Laboratory) |
| Department |
RWJ-Medicine-Pulmonary-Meb |
| 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 six centers and institutes that focus on cancer treatment and research, neuroscience, clinical and translational research, 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 including New Brunswick, Piscataway, Newark, Scotch Plains, Somerset, Blackwood, and other locations. Clinical partners include Robert Wood Johnson University Hospital in New Brunswick, 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 Post Doctoral Associate for the department of Medicine at the Robert Wood Johnson Medical School.
We are seeking a highly motivated postdoctoral researcher to join an interdisciplinary team working on the development of digital twin models for critically ill patients in the intensive care unit (
ICU). This position offers a unique opportunity to contribute to a cutting-edge project at the intersection of computational modeling, data science, and clinical medicine. The successful candidate will work closely with clinicians, intensivists, and computational scientists to develop patient-specific, predictive models using real-world clinical data. The project aims to enhance understanding of disease trajectories, optimize treatment strategies, and support real-time clinical decision-making.
Among the key duties of this position are the following:
- Develop and refine computational models (e.g., mechanistic, machine learning, or hybrid approaches) for ICU patients.
- Integrate and analyze high-dimensional clinical datasets, including time-series physiological and laboratory data.
- Collaborate with ICU physicians and clinical partners to ensure physiological relevance and clinical applicability.
- Contribute to manuscript preparation, grant writing, and dissemination of findings at scientific meetings.
- Work collaboratively and independently with laboratories and researchers within Rutgers.
- Attend and actively participate in both weekly and monthly group research meetings and discussions.
|
| FLSA |
Exempt |
| Grade |
|
| Salary Details |
According to NIH post doc scales |
| Minimum Salary |
20,000 |
| Mid Range Salary |
90,000 |
| Maximum Salary |
200,000 |
| 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 |
40 |
| Standard Hours |
37.50 |
| Daily Work Shift |
|
| Work Arrangement |
This position requires a fully on-site work arrangement. |
| Union Description |
Post Docs - Regular Salaried |
| Payroll Designation |
PeopleSoft |
| Seniority Unit |
|
| Terms of Appointment |
Staff - 12 month |
| Position Pension Eligibility |
ABP |
Qualifications
| Minimum Education and Experience |
- Ph.D. in biomedical engineering, computer science, applied mathematics, systems biology, or a related field. Strong background in computational modeling, data science, or machine learning.
- Candidates in ABD (all but degree) status will also be considered.
- Experience with electronic health records, physiological signal processing, or predictive analytics in healthcare.
|
| Certifications/Licenses |
|
| Required Knowledge, Skills, and Abilities |
- Demonstrated experience working with large datasets, preferably in healthcare or life sciences.
- Excellent programming skills (e.g., Python, MATLAB, R).
- Must pass employee health clearance, TB Test, and required safety training.
- Must follow all safety precautions in the laboratory.
- Strong communication skills and ability to work in a collaborative, interdisciplinary environment.
|
| Preferred Qualifications |
- Familiarity with critical care physiology and clinical workflows in the ICU is desirable but not required.
|
| Equipment Utilized |
|
| Physical Demands and Work Environment |
- Physical Demands: Standing, sitting, walking, talking or hearing. No special vision requirements. Lifting (up to 25 pounds).
- Work Environment: Laboratory environment. Moderate noise.
|
| Special Conditions |
|
Posting Details
| Posting Number |
25ST2026 |
| Posting Open Date |
|
| Special Instructions to Applicants |
|
| Regional Campus |
Rutgers Biomedical and Health Sciences (RBHS) |
| Home Location Campus |
Downtown New Brunswick |
| City |
New Brunswick |
| 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 |
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Sep 18, 2025