Postdoctoral Fellow (Informatics)

Selected candidates will develop computational models for antifibrotic drug discovery and toxicity evaluation. Applicants with a background in informatics, computational biology, or toxicology will receive preferential consideration.

The Division of Preclinical Innovation uses an integrated and multidisciplinary team-approach to translate research findings into clinically relevant strategies. Our laboratories are best known for their expertise in assay development, high-throughput screening, chemistry, preclinical development programs for regulatory filing, and the application of other innovative technologies such as 3-D microtissues and in-silico methodologies). Our expertise enables us to discover chemical probes for cell function interrogation under bothnormal and disease conditions, identify preclinical candidates, and advanced preclinical drug candidates for clinical testing. Overall, we emphasize the development of new drugs for rare genetic and orphan diseases through chemical genomics. The scope of our translationally-focused resources are unparalleled outside of large pharmaceutical companies.

Selected candidates will work as part of our multidisciplinary team of innovative scientists and provide expertise in assay development, drug screening, data science, computational modeling and other cutting-edge '-omics' technologies. Prospective candidate will:

• Analyze large data sets generated from drug screening assays.
• Develop computational methods to identify and prioritize potential compounds for antifibrotic drug development and testing.
• Build models for drug toxicity prediction using chemical structural data, in vitro assay data, and '-omics' data.
• Establish an efficient process for data sharing and dissemination

Candidates should be familiar with public small molecule and '-omics' databases and be capable of data mining using complex data sets. Successful candidates should also have experience building and applying machine learning models, as well as working at the interface of bioinformatics and chemo-informatics. This fellowship position will work closely with DPI informatics scientists and biologists to aid in data interpretation and project development.

Prospective applicants should possess a Ph.D. in the biomedical sciences, extensive experience with one or more programming languages, and knowledge of database queries and data retrieval. A background in chemo-informatics, 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.

Ideal candidates should possess strong oral and written communication skills with a proven publication record in peer-reviewed journals. This position is not eligible for full-time remote work, and NIH does not permit trainees to telework from overseas locations. Please see here for our most current Postdoc Fellowship eligibility criteria.

U.S. citizens and permanent residents are eligible to apply. NIH welcomes foreign nationals with the exception of individuals from this list.