Department of Health and Human Services
National Institutes of Health (NIH)
National Institute of Environmental Health Sciences (NIEHS)
Division of the National Toxicology Program
Biomolecular Screening Branch, Toxicoinformatics Group
Research Triangle Park, North Carolina
The Biomolecular Screening Branch of the Division of the National Toxicology Program at of the National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Research Triangle Park, North Carolina is recruiting a Staff Scientist for the Toxicoinformatics Group under the leadership of Dr. Scott Auerbach, Staff Scientist and Group Leader. The Toxicoinformatics Group researches, develops, applies and disseminate informatics methods that support new approach methodologies (NAMs) for characterizing the biological and toxicological effects of agents of public health concern. This work is carried out in support of the NTP and NIEHS goal to advance the sciences supporting public health decision making and identify and characterize the biological and toxicological properties of agents that can potential impact human health. We are seeking an experienced scientist with a proven track record in computational toxicology and/or chemoinformatics. Expertise in chemical structure analysis as it relates to biological/toxicological activity, high‐throughput screening, high dimensional data analysis/visualization and dose‐response modeling is essential.
A Staff Scientist is a NIH employee generally appointed to a time‐limited, renewable position to support the long‐term research of the group. Staff Scientists do not receive independent resources, although they often work independently and have advanced skills and knowledge essential for performing high dimensional data analytics and modeling. Staff Scientists should be capable of independently formulating data analytic approaches, but do not have responsibilities for initiating new research programs. The Staff Scientist in this position will conduct independent research as it related to the application of existing and novel data science methods and mentor postdoctoral fellows and trainees in the area of data science.
Qualifications: Candidates must possess a Ph.D. in pharmaceutical sciences, computational toxicology or chemoinformatics, 3+ years of postdoctoral experience and have demonstrated work experience in the area of toxicology and NAMs.
In addition, candidates must also have experience with:
- High throughput dose‐response modeling
- Formulation and interpretation of chemical structure‐based toxicity and biological activity classification models (aka, Quantitative Structure‐Activity Relationship (QSAR) modeling)
- High dimensional data analysis techniques implemented in R (or related software packages) such as supervised and unsupervised machine learning, classification, clustering and visualization
- Development of web applications for data delivery/visualization using R Shiny and Tableau
- Database and API development
- Publication in the aforementioned areas
- Working in large, collaborative study teams
- Presenting scientific data and complex analytics in written and oral form
Salary/benefits: This is a federal full-time equivalent position, and a comprehensive benefits package is available. Salary will be commensurate with experience and qualifications.
How to Apply: To submit a complete application package, interested persons should submit one combined PDF of their curriculum vitae, bibliography, and a two-page statement of research background and interests to email@example.com, with your name and Vacancy Announcement NR-115 in the subject line. Applicants must also arrange to have 3 letters of reference sent directly to firstname.lastname@example.org. References should include your name and NR-115 in the subject line of their email. Review of applications will begin on November 8, 2019 and the search will be closed once the position is filled. Incomplete applications (those not containing all required materials) will not be accepted or considered.
Commitment to Diversity and Equal Employment Opportunity: The NIH NIEHS encourages the application and nomination of qualified women, minorities, and individuals with disabilities. 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 factor. 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.
Foreign Education: Applicants who have completed part or all of their education outside of the U.S. 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. Verification must be received prior to the effective date of the appointment.
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