Postdoctoral Fellow - Computational and Statistical Cancer Genomics

Staff Name: 
Kenneth Aldape, M.D.
Eytan Ruppin, M.D., Ph.D.
Lab/Branch/Program: 
Laboratory of Pathology
Cancer Data Science Laboratory
Location: 
Bethesda
Research Area Keywords: 

Computational and Statistical Cancer Genomics

Position Description: 

The Center for Cancer Research (CCR) is working to solve the most pressing problems in the field through basic, translational and clinical cancer research to create the cancer medicines of tomorrow and is dedicated to preparing the next generation of cancer researchers. Read more about CCR, the benefits of working at CCR and hear from our staff on their CCR experiences. ​

The CCR is dedicated to preparing the next generation of cancer researchers and offers a training environment that is second-to-none in quality of science and mentoring by outstanding principal investigators, including nine members of the National Academy of Science and eight members of the National Academy of Medicine. CCR offers fellows access to cutting-edge technologies and cores, a highly collaborative environment, awards and research forums to recognize outstanding post docs, continuous scientific symposia and lectures featuring leading researchers, a strong commitment to translational research, and a vibrant clinical research program housed in the world’s largest dedicated research hospital, the NIH Clinical Center.

Exciting post-doctoral positions are available at the National Cancer Institute in Bethesda, MD, in the field of computational biology of cancer.  In this state-of-the-art career development opportunities, post-docs will be jointly mentored by Dr. Eytan Ruppin, Chief of the Cancer Data Science Laboratory (CDSL) (https://ccr.cancer.gov/cancer-data-science-laboratory) and Dr. Kenneth Aldape, Chief of the Laboratory of Pathology (LP) (https://ccr.cancer.gov/Laboratory-of-Pathology/kenneth-aldape).

Our collaborative program specializes in a variety of computational approaches, analyzing and integrating cancer multi-omics data to better understand cancer biology, improve cancer classification, and introduce new therapeutic options for patients.  A key advantage of this dual-program recruitment will be access to state-of-the-art computational resources offered by a world leader in this area (Dr. Ruppin), as well as to human cancer specimens while working with a world expert in the field of cancer genomics and epigenomics (Dr. Aldape).  Specific projects will be tailored according to the interest of the candidate, but will include topics such as integration of multi-omics data, use of multi-omics data for cancer re-classification, single-cell genomics and transcriptomics, synthetic lethality in cancer, use of AI approaches for tumor image interpretation in the context of genomic and patient outcome data, and techniques to deconvolve bulk tumor profiling data into sub-populations.  Opportunities exist for both method development (Ruppin lab) and method applications (Aldape lab) in order to address fundamental and clinically relevant questions related to cancer evolution, classification and precision treatment.

Successful candidates will have the advantage of working with a world-leading team in computational cancer biology and collaborate with experts in statistics, machine learning and related algorithms, etc., while at the same time having ready access to clinical cancer samples, including fresh tumor specimens from the operating theater, with which one can address new questions in real time.  Our group is evolving to lead a novel and comprehensive multi-omics sequencing platform of patient tumors at the NCI, which will be unprecedented in its extent and unique possibilities.

Multiple Positions Available: 
Yes
C.V. Required: 
Yes
Number of References Required: 
3
Experience Required: 

Qualifications for this position include Doctor of Philosophy (Ph.D.) in computational sciences or related fields.  Candidates should be proficient in bioinformatics, data analysis, algorithms, combinatorial optimization, machine learning and computational biology.  Candidates with a strong background and track record in big data analysis, especially in the context of cancer genomics as well as other -omics, will be preferentially considered.  A new postdoctoral fellow is expected to be highly motivated and productive, work independently as well as collaboratively with other lab members, and have a strong work ethic and intellectual commitment to the cancer research.  Proficient communication in both spoken and written English is strictly required, and excellent interpersonal and organizational skills are highly desired.

Additional Information: 

Salary will be commensurate with research experience in the NIH system.

This position is at the National Cancer Institute, and is therefore subject to a background investigation. The NIH is dedicated to building a diverse community in its training and employment programs.

Bethesda, located adjacent to Washington, D.C., is an urban core of Montgomery County, MD. Bethesda is one of the most affluent and highly educated communities in the United States. Living in Bethesda offers residents a suburban feel with a lot of restaurants, coffee shops, and parks. The public schools in Bethesda are highly rated.

How To Apply: 

To apply, please send an introductory email to Dr. Hye-Jung Chung at hjchung@mail.nih.gov, with “Computational Cancer Postdoc Application – (your name)” on the subject line, your CV attached and contact information for 3 references included.

Contact Name: 
Hye-Jung Chung
Contact E-mail: 

HHS, NIH, and NCI are Equal Opportunity Employers