Computational Toxicology/Informatics Postdoctoral Fellow Position, Division of Preclinical Innovation, Computational Toxicology Laboratory
Description
NCATS, a major research component of NIH, seeks applications from qualified candidates to fill a computational toxicology/informatics postdoctoral position in the Computational Toxicology Laboratory within the center’s Division of Preclinical Innovation (DPI). To meet the challenges of toxicology research in the 21st century, NCATS has formed a partnership with the National Toxicology Program, the U.S. Food and Drug Administration, and the U.S. Environmental Protection Agency to develop a high-throughput screening (HTS) program. The goals of the Toxicology in the 21st Century (Tox21) program are to prioritize chemicals for further in-depth toxicological evaluation, identify mechanisms of chemical toxicity and develop predictive models for in vivo biological response in humans. NCATS has a unique and exciting environment that employs state-of-art technologies for assay development, chemical screening and profiling for toxicology research.
Core Responsibilities
The selected candidate will engage in several activities, including analyzing large data sets generated from HTS assays; developing novel methods to identify and prioritize toxicity response pathways for assay development and compound testing; building predictive models for different in vivo toxicity endpoints using chemical structural data, genomic data and in vitro assay data; and generating testable hypotheses on compound mechanisms of toxicity. The candidate should be familiar with public genomic and genetic databases and be capable of data mining using complex data sets. The successful candidate also should have experience building and integrating genomic databases and working at the interface of genomic and chemoinformatic information. The fellow will work closely with informatics scientists and biologists in the DPI to aid in data interpretation and project development.
Qualifications
Applicants to this position should possess a Ph.D. in the biomedical sciences, extensive experience with one or more programming languages, and knowledge in database queries and data retrieval. A background in cheminformatics or bioinformatics, biology, chemistry or toxicology is preferred. Experience in 2-D or 3-D modeling, large data set manipulation or data mining is a plus. The ideal candidate should possess strong oral and written communication skills with a proven publication record in peer-reviewed journals. Applicants must be eligible to work in the United States for any employer.
Salary/Benefits
Annual stipends are commensurate with experience and based on the NIH Postdoctoral Intramural Research Training Award and Visiting Fellow scale; medical insurance coverage will be provided. The fellow also may participate in Foundation for Advanced Education in the Sciences courses at NIH. The position is renewable for up to 5 years.
How to Apply
Please submit a cover letter that includes a research summary and describes your interest in the position, a current curriculum vitae with a complete bibliography, and provide contact information for at least three references to Ruili Huang, Ph.D., at huangru@mail.nih.gov.
Application reviews will begin promptly and continue until the position is filled.
Additional Information
A preappointment process (e.g., background investigation, verification of qualifications and job requirements, completion of onboarding forms, submission of required documents) may determine employment after an offer has been made and accepted.
At your supervisor’s discretion, you may be eligible for workplace flexibilities, which may include remote work or telework options and/or flexible work scheduling. These flexibilities may be requested in accordance with the NIH Workplace Flexibilities policy.