The Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH) invites applications for a statistician/biostatistician to work within the Biostatistics and Data Management Section (BDMS) of the Office of the Clinical Director, CCR, headed by Dr. Seth Steinberg. The CCR is the largest division of the NCI intramural research program and comprises nearly 250 basic and clinical research groups located on two campuses outside of Washington, DC, one in Bethesda, Maryland and one in Frederick, Maryland. Its scientists work on a wide spectrum of biological and biomedical problems ranging from visualizing and understanding the structure of individual genes and proteins, developing novel methods for drug discovery, to inventing biomedical devices and technology and creating innovative ways to treat patients in the NIH Clinical Center. The BDMS is the primary statistical component of the CCR’s Bethesda research group, performing statistical design and review of clinical trials, data analysis, and consultation on statistical topics.
The successful candidate will largely collaborate with physician investigators as a biostatistician in the clinical and translational research branches and laboratories of the CCR located in Bethesda but may also collaborate with investigators in the basic science area. The statistician will utilize a variety of skills primarily to provide statistical designs, to perform data analyses, and to prepare results for publication from clinical trials and pre-clinical experiments for novel anti-cancer agents and other diseases studied in the CCR, and will consult on methods of data analysis for other studies of interest to the investigators. Most of the collaboration will be with physicians, while some will be with PhD-level scientists. The candidate may also serve on committees that require input from a CCR clinical trials statistician.
The successful candidate will be able to collaborate on multiple simultaneous projects and, as a Staff Scientist 1, will work under the general direction of the Head of the BDMS. A high degree of independence, ability to work in a team on projects along with medical researchers from many fields, and interest and ability to learn and apply new statistical methods as needed are required.
Qualifications and Job Details:
• Degree Required: Ph.D. or equivalent • Location: Rockville, Maryland • Appointment Type: Government Position • Work Schedule: Full-time position • Citizenship: US Citizenship not required - (i.e., permanent resident, visa) • Salary: Commensurate with experience
REQUIRED SKILLS: Eligible candidates must have a Ph.D. or equivalent degree in statistics, biostatistics, or a related field; at least 2 years of relevant experience in the analysis of a wide variety of biomedical data is highly desirable. Skill and expertise in performing statistical analyses using the following methods are required: analysis of longitudinal and repeated measures data, including methods for handling missing data; use of linear and non-linear models; use of published non-parametric and parametric statistical methods; survival data analysis methods; logistic regression analysis. Expertise performing statistical analyses using SAS and/or R is required and the ability to perform advanced SAS or R programming is preferred. Familiarity with Bayesian methods of design of clinical trials and analysis of data using Bayesian methods, and familiarity with specialized software to determine sample sizes for clinical trials are desirable. Interest and ability to perform independent or collaborative methodologic research with other statisticians on topics related to design of clinical trials or other statistical methods relevant to the position are desirable. Excellent oral and written communication skills are required, as the position involves independent communication and collaboration with physicians and scientists, typically leading to publications in medical and scientific journals.
Selection for this position will be based solely on merit, with no discrimination for non-merit reasons such as race, color, religion, gender, sexual orientation, national origin, political affiliation, marital status, disability, age, or membership or non-membership in an employee organization. NIH encourages the application and nomination of qualified women, minorities and individuals with disabilities. NIH provides reasonable accommodations to applicants with disabilities. If you require reasonable accommodation during any part of the application and hiring process, please notify us. The decision on granting reasonable accommodation will be made on a case-by-case basis. This position is subject to a background investigation.
HOW TO APPLY: Applicants should submit a cover letter, current curriculum vitae with complete bibliography, and contact information for two letters of recommendation. Applications will be accepted on a rolling basis. Submit application to Jasmine Abdi (email@example.com). HHS, NIH, and NCI are Equal Opportunity Employers.
Internal Number: BSH21-029306
About National Cancer Institute, Center for Cancer Research
The Center for Cancer Research is the largest division of the National Cancer Institute’s intramural research program with nearly 250 basic and clinical research groups located on two campuses just outside of Washington, D.C.
CCR is home to an extraordinary group of scientists and clinicians exploring the cutting-edge of cancer and HIV/AIDS research. Our scientists work on a wide spectrum of biological and biomedical problems ranging from visualizing and understanding the structure of individual genes and proteins, developing novel methods for drug discovery, to inventing biomedical devices and technology and creating innovative ways to treat patients in the NIH Clinical Center.
Our scientists enjoy complete intellectual freedom and are expected to creatively and innovatively explore the most important questions in the field of cancer research and treatment. We support projects over a longtime horizon allowing our investigators to pursue some of the most difficult, high-risk problems in the field, and we are always on the lookout for new challenges and the most pressing problems in modern cancer research.
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