nn Our Company
– DXT: nn nnDXT’s focus is the integration of novel drugs, novel delivery platforms, and digital medicine into next-generation therapeutic systems.
DXT utilizes digital-era in-silico methodologies such as High-Performance Computing (HPC) for Computer-Assisted Drug Design (CADD), methods of applied statistics such as neural networks, machine learning and artificial intelligence, as well as methodologies to predict the distribution of drugs in the human body.
These approaches will optimize preclinical testing and enable novel methodologies for personalized treatment of various ophthalmology and pulmonary pathologies.
Innovative delivery platforms are a fundamental component of the corporate strategy and include biomaterials and nanotechnologies.nn nn Responsibilities: nn Analysis, interpretation, and visualization of complex data sets.
Work in close collaboration with DXT scientists and investigators to develop computational models of biodistribution, efficacy, and toxicity for intravenous and inhaled administration.
Integrate hypotheses with in-silico modeling utilizing proprietary virtual screening platforms.
Aid in direction of pulmonary drug screening, development and delivery programs.
Generate new hypotheses and experimental designs.
Synthesize results into clear, concise presentations.
Other tasks as assigned.
nn Experience: nn PhD degree with 5-7 years of experience in computational approaches to biodistribution, efficacy and toxicity of therapeutic agents.
Ability to understand and analyze data from complex experimental designs.
Working knowledge of mathematical or statistical software packages.
Ability to work in a cross-functional, team environment.
Manages time effectively demonstrating ability to perform multiple projects at one time.
Desire to work in a fast-paced environment.
Excellent organizational and communication skills, strong analytical and problem-solving skills.
Record of achievement from journal publications and/or poster presentations.