Position Details
Position Information
| Recruitment/Posting Title |
Postdoc Associate -Pharmacology & Toxicology |
| Department |
Pharmacology & Toxicology |
| Salary Details |
minimum $63,968 |
| 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
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| Posting Summary |
There are up to four postdoctoral positions available in Dr. Hao Zhu's lab in the Department of Pharmacology and Toxicology at the Environmental and Occupational Health Sciences Institute (
EOHSI)/Ernest Mario School of Pharmacy, Rutgers University. These positions are funded by research grants from the National Institutes of Health (
NIH). Dr. Zhu's research team focuses on modeling studies of small-molecule drugs, nanomaterials/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning (DL), and big data analytics. His lab is developing new modeling strategies that can integrate heterogeneous public data into model development. Another major research interest is the use of large language model (
LLM) techniques to generate highly curated pharmaceutical science and public health databases that can be used for modeling purposes. Information about Dr. Zhu's research and recent publications can be found on his lab website:
www.zhulab.com
The candidates will focus on one or two of the following projects:
- Developing predictive toxicity models for assessing new environmental pollutants, nanoplastics, and environmental mixtures;
- Developing pharmacokinetic (PK) models for predicting new drug candidates;
- Curating and managing unstructured or semi-structured health reports, patient records, and other public clinic outcomes using advanced data analytic techniques.
- Developing web-based cheminformatics and biomedical informatics scientific software and toolboxes.
Rutgers University is one of the largest research universities and has outstanding resources and facilities to support state-of-the-art research. Both Dr. Zhu's home department and
EOHSI are nationally and internationally recognized for their basic and clinical research in pharmacology, toxicology, and exposure science. Dr. Zhu's research team has access to outstanding computational facilities for modeling, data storage, and data sharing. Rutgers University provides an excellent career development and training environment for postdoctoral fellows. |
| Position Status |
Full Time |
| Posting Number |
26FA0740 |
| Posting Open Date |
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| Posting Close Date |
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Qualifications
| Minimum Education and Experience |
Qualified candidates are required to have a PhD or an equivalent doctoral degree and experience in chemistry, biology, toxicology, pharmaceutical science, computer science, or statistics. Candidates must have outstanding programming skills using popular programming languages (e.g., Python). Candidates should also be able to work independently, employ critical thinking, perform team science, and have good oral and written communication skills. |
| Certifications/Licenses |
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| Required Knowledge, Skills, and Abilities |
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| Preferred Qualifications |
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| Equipment Utilized |
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| Physical Demands and Work Environment |
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| Overview |
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| Statement |
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Posting Details
| Special Instructions to Applicants |
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| Quick Link to Posting |
https://jobs.rutgers.edu/postings/280068 |
| Campus |
Rutgers University-New Brunswick |
| Home Location Campus |
Busch (RU-New Brunswick) |
| City |
Piscatway |
| State |
NJ |
| Location Details |
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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
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