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Scientific Programmer

Employer
Leidos Biomedical Research, Inc.
Location
Frederick, MD
Closing date
May 23, 2019

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Industry
Science
Function
Software Developer, IT
Hours
Full Time
Career Level
Experienced (Non-Manager)
The Frederick National Laboratory is dedicated to improving human health through discovery and innovation in the biomedical sciences, focusing on cancer, AIDS, and emerging infectious diseases. Position Overview: PROGRAM DESCRIPTION The Cancer Research Technology Program (CRTP) develops and implements emerging technology, cancer biology expertise and research capabilities to accomplish NCI research objectives. The CRTP is an outward-facing, multi-disciplinary hub purposed to enable the external cancer research community. A major focus of the CRTP is the NCI RAS Initiative with the goal to discover new therapeutic interventions against RAS-driven cancers. In addition, the CRTP hosts the Nanotechnology Characterization Laboratory (NCL) which performs and standardizes preclinical efficacy and toxicity testing of nanoparticles intended for cancer therapeutics and diagnostics, and the Antibody Characterization Lab (ACL) which characterizes monoclonal antibodies or other renewable affinity binding reagents for use in cancer related research. CRTP scientists also work collaboratively with intramural NCI investigators to provide research technologies and expertise. KEY ROLES/RESPONSIBILITIES Work closely with a highly collaborative multidisciplinary team of chemists, biochemists, biophysicists, and cell andstructural biologists at the NCI RAS Initiative to develop and optimize small-molecules for use as RAS inhibitors. Work as part of the RAS Computational Chemistry (RCC) team. Develop, implement (through scientific programming), and test new molecular docking methods for improving computational screening against RAS. Perform Linux system administration of RCC desktop machines. Interface with the teams that maintain computers and that maintain the computer cluster. Support the performance of computational ligand discovery against RAS using the structures of oncogenic RAS mutants, and RAS-complexes with various effectors and regulatory proteins. Support the optimization hits using computational methods including chemical informatics methods and Free-Energycalculations. BASIC QUALIFICATIONS Possession of a Bachelor's degree in computer science, mathematics, or related field (for example, a chemistry major with a minor in computer science would be considered) from an accredited college or university according to the Council for Higher Education Accreditation. (Additional qualifying experience may be substituted for the required education.) Foreign degrees must be evaluated for US equivalency Must be able to obtain and maintain a clearance Knowledge in at least one of the following: scripting and computer languages, eg Python, Unix shell, R, C++, Fortran Linux system administration experience in drug discovery using computational chemistry methods. PREFERRED QUALIFICATIONS Master's Degree in, or work experience in, the computational chemistry or computational biology fields. Expertise with structure-based drug design (SBDD) software, molecular modelling, molecular docking, molecular dynamics, and/or chemical informatics softwares , eg UCSF DOCK, Autodock, Schrodinger packages, Amber, NAMD, RDKit Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)

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