Position Details
Position Information
| Recruitment/Posting Title |
Post Doctoral Associate (Multi-omics Life Course Research) |
| Job Category |
Staff & Executive - Research (Laboratory/Non-Laboratory) |
| Department |
SPH - Epidemiology |
| 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 |
The Department of Biostatistics and Epidemiology at the Rutgers School of Public Health located in Piscataway, NJ is seeking a Post Doctoral Associate to join an interdisciplinary research program focused on pregnancy, life-course cardiometabolic health, and the developmental origins of health and disease.
The Post Doctoral Associate will work with longitudinal pregnancy and birth cohort data to investigate how metabolic and molecular characteristics during pregnancy contribute to maternal and offspring health across the life course. Current projects integrate epidemiologic data with metabolomics, proteomics, and other high-dimensional molecular measures to study pregnancy cardiovascular health, adverse pregnancy outcomes, placental biology, and later cardiometabolic disease.
The associate will have opportunities to lead manuscripts, develop independent research questions, contribute to
NIH-funded and collaborative studies, present findings at scientific meetings, and participate in grant development. The position will provide training and mentorship in life-course epidemiology, pregnancy and perinatal epidemiology, and the analysis of high-dimensional molecular data.
This is a 12-month full-funded position, with additional years dependent on funding and satisfactory performance.
Duties include:
- Lead analyses of longitudinal epidemiologic and molecular data.
- Develop and apply statistical approaches for metabolomics, proteomics, and related high-dimensional data.
- Prepare first-author manuscripts and scientific presentations.
- Collaborate with epidemiologists, biostatisticians, clinicians, and laboratory scientists.
|
| FLSA |
Exempt |
| Grade |
|
| Salary Details |
$63,968 |
| 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 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 |
37.50 |
| Standard Hours |
37.50 |
| Daily Work Shift |
Day |
| 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 |
|
| Certifications/Licenses |
|
| Required Knowledge, Skills, and Abilities |
- Doctoral degree in epidemiology, biostatistics, public health, population health, or a related quantitative field by the position start date
- Applicants in All But Degree Status will be considered for interviews.
- Strong quantitative and epidemiologic training
- Experience conducting statistical analyses in R or a comparable programming environment
- Experience working with complex or high-dimensional health data
- Demonstrated ability to communicate scientific findings through manuscripts, presentations, or other scholarly products
- Interest in life-course epidemiology, the developmental origins of health and disease, pregnancy and perinatal health, or cardiometabolic health
- Ability to work both independently and collaboratively within an interdisciplinary research team
|
| Preferred Qualifications |
- Experience analyzing metabolomics, proteomics, lipidomics, transcriptomics, or other high-dimensional molecular data
- Familiarity with methods such as dimension reduction, clustering, penalized regression, multiple-testing correction, pathway analysis, network analysis, or multiomics integration
- Experience with longitudinal cohort studies, pregnancy or birth cohorts, electronic health record data, or repeated-measures analyses
- A record of peer-reviewed publication and interest in developing an independent research program
- Candidates do not need to have experience in every preferred area. Applicants with strong epidemiologic and quantitative training who are interested in expanding their expertise in omics and life-course research are encouraged to apply.
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| Equipment Utilized |
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| Physical Demands and Work Environment |
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| Special Conditions |
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Posting Details
| Posting Number |
26ST1608 |
| 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 |
Rutgers University
life insurance, employee discount
Aug 18, 2026