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Posted: 15-Nov-23
Location: Research Triangle Park, North Carolina
Type: Full Time
Salary: Commensurate with experience
Categories:
Required Education:
Internal Number: NR144-ASG
Staff Scientist Position
Biostatistics and Computational Biology Branch
National Institute of Environmental Health Sciences
Division of Intramural Research
National Institutes of Health
Department of Health and Human Services
Research Triangle Park, North Carolina
The Biostatistics and Computational Biology Branch in the Division of Intramural Research of the National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Research Triangle Park, North Carolina is recruiting a Staff Scientist, to support the research activity in the Applied Statistics Group led by Dr. Shanshan Zhao (https://www.niehs.nih.gov/research/atniehs/labs/bb/staff/zhao/index.cfm).
A Staff Scientist 1 is an NIH employee generally appointed to a time-limited, renewable position, similar to that of a non-tenure track research faculty at many universities. Staff Scientists do not receive independent resources, but often work independently and have sophisticated skills and knowledge essential to the work of the group. Staff Scientists should be capable of independently designing studies, but do not have responsibilities for initiating new research programs. Appointees may be U.S. citizens, resident aliens, or non-resident aliens with, or eligible to obtain, a valid employment-authorization visa.
The group employs a dynamic approach by integrating statistical methodological developments and collaborative population-based studies to reveal the social and physical determinants for health outcomes, with a focus on time-to-event data in cancer and environmental epidemiological studies.
The primary responsibilities of the successful candidate will be to: 1) Lead scientific activities in developing powerful statistical methods for population-based epidemiological studies. Specific research areas include but are not limited to time-to-event and longitudinal data, risk assessment and prediction, and environmental mixtures analysis; 2) Provide statistical support on new and established projects in the group; 3) Serve as a resource for knowledge of statistical methods developed by the group for collaborators and trainees.
Qualifications: The successful candidate will have a strong background in statistical theory and computational skills. They need to be skilled in oral and written communication, statistical programming with R and other languages such as Python, Matlab, C/C++, and have proven experience working productively with multidisciplinary teams. Experience with time-to-event outcomes, longitudinal data, cancer and environmental studies is desirable. Candidates should have a doctoral degree in biostatistics, statistics, or a closely related field with demonstrated biostatistical experience. For additional information, contact Dr. Shanshan Zhao, Principal Investigator, Biostatistics and Computational Biology Branch (shanshan.zhao@nih.gov).
Salary/Benefits: The successful candidate for this position will be appointed at a salary commensurate with experience and accomplishments with full federal benefits, including leave, health and life insurance, retirement, and savings plan (401k equivalent).
How to apply: Interested candidates must submit materials as one combined PDF via email to Ms. Bonnie Earnhardt at int-appls@niehs.nih.gov. All emails should include vacancy number NR144-ASG in the subject line. A complete application includes:
- Cover letter: Please include a description of relevant research experience.
- Curriculum Vitae with full Bibliography.
- Research Statement: A two-page statement describing your research and collaboration experience.
- DEIA Statement: Include a statement, not to exceed one page, which addresses your commitment to Diversity, Equity, Inclusion, and Accessibility.
In addition, you must also arrange for three letters of reference to be sent directly to
int-appls@niehs.nih.gov Letters should be on official letterhead, when possible, signed, and dated. Referees must include the applicant’s name and vacancy number NR144-ASG in the email subject line.
Incomplete applications or paper applications will not be reviewed.
Questions about this position can be forwarded to Dr. Raja Jothi, Search Committee Chair, at jothi@niehs.nih.gov. Review of applications will begin on January 15, 2024. The search will be closed once the position is filled.
Commitment to Diversity and Equal Employment Opportunity: The NIH/NIEHS encourages the application and nomination of qualified women, minorities, and individuals with disabilities. (https://diversity.nih.gov/about-us/population-underrepresented). The United States Government does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. NIH/NIEHS will provide reasonable accommodations to applicants with disabilities as appropriate. If you require reasonable accommodation during any part of the application and hiring process, please notify us.
Equal Opportunity Employment:
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. The NIH encourages the application and nomination of qualified women, minorities, and individuals with disabilities.
Foreign Education:
Applicants who have completed part or all their education outside of the US must have their foreign education evaluated by an accredited organization to ensure that the foreign education is equivalent to education received in accredited educational institutions in the United States. We will only accept the completed foreign education evaluation. For more information on foreign education verification, visit the National Association of Credential Evaluation Services (NACES) website at http://www.naces.org/. Verification must be received prior to the effective date of the appointment.
The NIH is the premier biomedical research center for the world. Its 27 institutes and centers employ more than 18,000 employees doing a vast array of jobs, all supporting efforts for a healthy nation. For information about the NIH mission, goals and institutes and centers, visit https://www.nih.gov/about-nih.
DO NOT INCLUDE YOUR BIRTHDATE OR SOCIAL SECURITY NUMBER (SSN) ON APPLICATION MATERIALS.
DHHS AND NIH ARE EQUAL OPPORUNITY EMPLOYERS.
