Postdoctoral Associate in Pediatric Hematology/Oncology
Join Rutgers Cancer Institute to advance cancer genomics and immunotherapy research through computational and experimental approaches.
Best for:Best for postdoctoral researchers with expertise in computational genomics, bioinformatics, and cancer biology seeking to advance translational cancer research.
Overview
This postdoctoral position at Rutgers Cancer Institute focuses on uncovering novel therapeutic targets in rare hematological neoplasms and cancer immunology. The successful candidate will work within the Department of Pediatrics and Pathology, leveraging multi-omics data, mouse models, and human biospecimens to design and execute computational analyses. The role emphasizes independent research, manuscript preparation, grant writing, and collaboration with international partners. The position is ideal for researchers with a strong background in bioinformatics, computational biology, or related quantitative fields, seeking to contribute to cutting-edge cancer research.
What you'll do
- Conduct computational experiments and analyses to understand molecular pathogenesis and the immune microenvironment of cancers.
- Develop computational frameworks for integrating functional genomics techniques with computational analyses to study neoplastic hematopoiesis and immunological microenvironments.
- Design and execute validation experiments using molecular and cell biology methods.
- Prepare scientific manuscripts for peer-reviewed journals and draft grant proposals based on research findings.
- Present research findings at local, national, and international academic conferences.
- Assist in training and mentoring students, junior fellows, and technicians in laboratory techniques and computational tools.
- Maintain laboratory instrumentation, databases, and computational tools necessary for project execution.
Requirements
Degree required: PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Physics, Biomedical Sciences, or related quantitative field; or an MD/PhD with a strong computational background. Candidates completing their degree are eligible if degree completion is documented prior to employment.
Language: English; proficiency in spoken and written English required.
Instruction: English
- Demonstrated research productivity and experience analyzing large-scale biological or genomic datasets.
- Proficiency in programming languages such as R, Python, and familiarity with Linux/Unix environments.
- Strong foundation in cancer biology, statistics, and programming, including hands-on experience in variant calling and molecular data analysis.
- Excellent analytical, written, and verbal communication skills with proficiency in spoken and written English.
- Ability to work independently and collaboratively in a research environment.
- Computer literacy with proficiency in database and reporting tools (e.g., Microsoft Word, Excel, Access, PowerPoint).
- No specific nationality or residency restrictions mentioned.
- Candidates must have completed or be in the process of completing a PhD, MD, or MD/PhD degree in a relevant field.
Funding & terms
How to apply
Applicants should submit their CV, cover letter, and any relevant documentation through the Rutgers HigherEdJobs portal. Additional materials such as research statements or reference letters may be requested.
- CV
- Cover letter
- Documentation of degree completion (if applicable)
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