Postbac Fellow - prostate cancer, multi-omics data

Staff Name: 
Adam Sowalsky, Ph.D.
Lab/Branch/Program: 
Laboratory of Genitourinary Cancer Pathogenesis
Location: 
Bethesda
Research Area Keywords: 

prostate cancer, computer science, multi-omics data

Position Description: 

A post-baccalaureate fellow researcher position in the fields of data science, computational biology and bioinformatics is available in the laboratory of Adam Sowalsky, Prostate Cancer Genetics Section, Laboratory of Genitourinary Cancer Pathogenesis (LGCP) at the Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH). The Sowalsky Lab is part of the LGCP, an interdisciplinary group entirely focused on prostate cancer. The major goals of the Sowalsky Lab are to identify molecular characteristics of patients with prostate cancer who respond exceptionally well to therapy, validate those features as biomarkers, and test them in clinical trials at the NIH Clinical Center. Together with our collaborators in the urology and oncology branches, we are generating large, high-volume datasets with extensive clinical annotation, with the goal of identifying opportunities for integrating precision medicine into clinical practice.

Applicants will gain specialized experience in the generation of multi-omic data from clinical specimens. Additional experience will include the analysis of tumor evolution models based on the integration of tissue-based data and clinical outcome. (For an example, please see https://www.nature.com/articles/s41467-020-14657-7)

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.

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.

Number of Positions: 
1
C.V. Required: 
Yes
Number of References Required: 
3
Experience Required: 

Applicants should have a bachelor’s degree in Computer Science (or related field) or be completing degree requirements this Spring. Candidates with undergraduate research experience using NGS analysis and machine learning to study cancer biology and progression will be preferentially considered. Candidates with degrees in computer science (or similar data science fields) are eligible to receive substantial supplemental allowances on top of published stipend levels.

Additional Information: 

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.

How To Apply: 

Please send a brief cover letter, contact info for references and CV/resume to Dr. Adam Sowalsky at adam.sowalsky@nih.gov. Candidates will be required to submit a full application at the NIH training portal (https://www2.training.nih.gov/apps/publicForms/pbt/forms/login.aspx) for full consideration.

Contact Name: 
Adam Sowalsky
Contact E-mail: 
Contact Phone: 
240-760-7118

HHS, NIH, and NCI are Equal Opportunity Employers