The DILI-sim Initiative regularly seeks high quality people to join us and contribute to the development and use of the DILIsym® modeling software. We offer a unique mix of basic and applied research in the area of mathematical modeling. DILI-sim modeling team members join as employees of DILIsym Services Inc. As new team members are sought, positions will be posted here and linked to the DILIsym Services Careers website.
DILIsym Services Inc. offers competitive salaries, attractive benefits, a stimulating work environment, and coworkers with diverse backgrounds. As a matter of practice, DILIsym Services makes applications for general employment available only when a position is open and advertised. DILIsym Services Inc. is an Equal Employment Opportunity employer.
Postdoctoral Training Position in Modeling and Simulation of Drug-Induced Liver Injury or Fatty Liver Disease Therapies
Outstanding candidates are sought for postdoctoral positions at DILIsym Services Inc., a Simulations Plus company, in Research Triangle Park, NC. The successful applicants will be part of an interdisciplinary team of engineers, biochemists, toxicologists, and physicians working on the development and application of the DILIsym® software, a computational model of liver function in human patients, rodents, and dogs to improve understanding of drug-induced liver injury (DILI). Specifically, the successful candidates will be tasked with DILIsym software development projects commissioned by the DILI-sim Initiative members (www.DILIsym.com), as well as application projects that involve utilizing DILIsym to solve important problems related to drug-induced liver injury within the pharmaceutical industry. Candidates may also spend time on the development and use of NAFLDsym, a mathematical software representation of Non-alcoholic Fatty Liver Disease used for the evaluation of disease treatments. The initial appointment will be for one year, with the possibility of extension.
Qualifications and Experience
Ideal candidates will have a Ph.D. or equivalent degree in engineering, pharmaceutical sciences, or other life science areas with 0-3 years of postdoctoral study experience. They will be proficient in mathematics, have a general knowledge of biology, biochemistry, and toxicology, and have experience with software such as MATLAB. A background knowledge of liver biochemistry and physiology or metabolic diseases is desirable but not required. Experience and familiarity with computational modeling of biological systems is desirable but not essential.