| Employer: | SuperGen, Inc. |
| Job Location: |
Salt Lake City - Salt Lake County |
| Employment Type: | Full Time |
Description: |
Work for a company that is making a difference in the fight against cancer. SuperGen, Inc. (www.supergen.com) brings together high tech and biotech to search for new, more effective drugs for the treatment of cancer. We are looking for a motivated, dedicated professional who wants to combine their skills with our uniquely talented team to change the current paradigm of drug discovery and development. This candidate will be working in our Salt Lake City, Utah location.
Reporting to the Associate Director of Computational Chemistry, this position is for a highly motivated and results oriented candidate who has strong knowledge of computational chemistry principles and applications. The candidate must display and continue to develop a broad range of structural and computational biology experience.
|
Duties: |
Primary Responsibilities and Duties
The primary responsibilities of this position are for discovery and implementation of novel computational methods, analyses, and workflows that ultimately accelerate the drug design process and model specific inhibitors against the given targets.
Research activities include identification of novel methods for virtual screening, lead identification, structure-based design, ab-initio molecular dynamics, binding energy determinations, scoring function design used to study the interactions of the small molecules/proteins, and/or in silico predictive methods for improvement of ADMET characteristics.
The work involves collaboration with experimentalists, synthetic/medicinal chemists for lead optimization/modifications and testing of the designed structures.
|
Qualifications: |
General Requirements
Ph.D. in a Computational Chemistry-based discipline or equivalent, plus 3+ years industrial or 5+ years academic experience.
Sound knowledge of computational chemistry principles/applications and on how to implement these techniques to pharmaceutical drug discovery research projects.
Expertise in conducting protein structure predictions, small molecule/protein-protein docking, virtual screening, molecular dynamics simulation, QM/MM methods, lead optimization principles, and downstream property optimizations techniques that enable successful drug candidates.
Prior experience/knowledge in Structural Biology, Medicinal/Organic chemistry is a plus.
Technical qualifications include good scientific computing experience with programming languages such as Java or C++, relational database tools, operating systems such as Linux/Unix and/or web application development tools.
Ability to learn new software easily, work independently and as part of a multi-disciplinary team with a high level of personal, professional drive and initiative, excellent interpersonal, presentation and problem-solving skills are required.
Interested candidates are encouraged to apply online at http://www.supergen.com |
