National Cancer Institute (NCI) is seeking a well-established expert in cancer and biomedical research and medical decision modeling to serve as the Senior Decision Modeling Scientist in the
Statistical Research and Applications Branch, Surveillance Research Program, Division of Cancer Control and Population Sciences. The NCI is the principal agency of the Federal Government for cancer research and for carrying out the National Cancer Program. DCCPS aims to reduce cancer risk, incidence, and death and enhance quality of life for cancer survivors by supporting innovative research and recommending ways to apply that research in qualify health care delivery. Surveillance Research Program provides a quantitative portrait of cancer and its determinants in a define population. The core function of cancer surveillance are the measurement of cancer incidence, morbidity, survival and mortality for persons with cancer. The Statistical Research and Applications Branch. The Statistical Research and Applications Branch provides optimal statistical methods for the collection, analysis, and presentation of essential measures related to the cancer control, surveillance, and epidemiology programs of the National Cancer Institute and the broader cancer control and research community. These methods are pertinent to cancer outcomes, risk and behavioral factors, spatial and temporal factors, genetic factors, and health care delivery factors.
The Senior Decision Modeling Scientist will identify and conduct medical decision modeling to improve population health. This work involves creating “virtual scientific laboratories” to perform computer simulation experiments of potential cancer research strategies that go beyond what can be directly observed in clinical trial studies. The Senior Decision Modeling Scientist will also serve as the Lead Project Scientist for the Cancer Intervention and Surveillance Modeling Network (CISNET). CISNET is a consortium of NCI-funded investigators who use simulation decision modeling to extend research evidence provided by trial, epidemiologic, and surveillance data to guide NCI’s cancer research priorities. The following are Senior Decision Modeling Scientist major responsibilities:
Conducts state of the art medical decision modeling and/or oversees exemplar simulation modeling projects across the cancer control continuum. Provide authoritative guidance on the state of evidence informing models for cancer sites of interest, and the current and future capabilities of the models. Responsible for providing scientific and decision modeling expertise to guide NCI’s research priorities and developing optimal cancer control strategies.
Provide scientific consultation to the NCI Director and other NCI and NIH senior leadership in the use of medical decision modeling for supporting biomedical research having a national and international impact. Serves as the “face” of medical decision modeling for the institute, often speaking to the press about the role of modeling in specific areas of cancer research. Serve as a liaison with relevant professional organizations, fostering an understanding of NCI and NIH needs of medical decision modeling, facilitating sessions at these organizations’ meetings which include NIH staff who can represent NIH’s interests and priorities, and being a promoter for the training and development of the next generation of decision modelers. Serves as an advocate for the role that medical decision modeling plays in cancer research and foster innovation for medical decision modeling at NCI.
Serve as an institute-wide and NIH-wide scientific resource in medical decision modeling, translating the priorities of NIH and NCI into future funding opportunities where medical decision modeling is applicable and needed. Build and manage a portfolio of unsolicited grants in this area and provide advice to outside researchers seeking to submit grant applications which include medical decision modeling.
Serve as the Lead Project Scientist for CISNET whose use of simulation modeling is used to improve NCI’s understanding of strategies for implementation of cancer control interventions in cancer prevention, screening, and treatment at the population level, and their downstream effects on population trends in incidence and mortality.
The successful candidate must be a well-established expert in cancer and biomedical research and medical decision modeling.
Salary/Benefits: The successful candidate will be appointed as a Senior Biomedical Research and Biomedical Product Assessment Service (SBRBPAS), a Title 42 authority, at a salary commensurate with experience. A full package of benefits is available, including retirement, health and life insurance, long term care insurance, annual and sick leave, and a Thrift Savings Plan (401K equivalent). A recruitment or relocation bonus may be available, and relocation expenses may be paid. The successful candidate may be subject to a background investigation and public financial disclosure requirements.
Location: Location of position will be as advertised but may be negotiable with certain participating program areas after selection and an onboarding period. If a remote opportunity is negotiated, the individual must adhere to all regulations and policies regarding remote work at NIH and in the federal government, including the signing of a remote work agreement.
How to Apply: Applicants must submit a current curriculum vitae, bibliography, and full contact details for three references. In addition, applicants must submit a cover letter which states why they are interested in this position and a statement that reflects their vision for the advancement of decision modeling in biomedical research and how they meet the qualification requirements (please limit this statement to two pages). Submit your application at https://service.cancer.gov/nci-scss.do#/. This position is open from November 14 to December 14, 2022.
Candidates must possess a doctoral level degree in biomedicine or a biological related field; a medical degree; or a doctoral or master’s level degree in engineering, bioinformatics, population science, or a related or emerging field.
Candidates must meet U.S. Office of Personnel Management educational and qualification standards for the scientific discipline directly related to their position and must furnish proof that they meet all educational (i.e., official transcripts) and other (e.g., licensure, Educational Commission for Foreign Medical Graduates (ECFMG))
Extensive knowledge of the art and science of decision modeling.
Expertise in cancer research with a strong understanding of statistics, simulation, health economics, use of large population databases, and cancer policy/care delivery/guidelines to create simulation models that help solve the challenges of integrating population, epidemiologic, and clinical data into optimal decision-making tools.
Strong understanding of cancer related issues that have potential relevance to decision modeling.
Experience working with multidisciplinary groups in decision modeling strategies and initiatives.
Experience in NIH grants processes and procedures and/or applying for and leading NIH or other agencies grants research
Experience playing an active role in health decision making professional organizations
Experience working with a broad range of agencies and non-federal organizations.
Leadership experience in a highly visible national decision modeling research program is highly desirable.
The Division of Cancer Control and Population Sciences (DCCPS) aims to reduce cancer risk, incidence, and death and enhance quality of life for cancer survivors by supporting innovative research and recommending ways to apply that research in quality health care delivery.